AV .4 ‘r . .4 113* . rum. max... 8» 1 ‘ . ‘ 3 533.. . _ .H ,...§$.:u.,fi.,m.¢l ram:x.§...~....n.sia..m...dJuan: LIBRARY Michigan State Universlty PLACE N RETURN BOX to remove this checkout from your mood. TO AVOID FINES Mum on or More data duo. DATE D331?” DATE DUE DATE DUE PERFOMLK‘K PERFORMANCE IN INTERNATIONAL COLLABORATIVE VENTURES: CASE OF THE GLOBAL CONSTRUCTION INDUSTRY By T. Cuneyt Evirgen A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Marketing and Logistics 1995 PERFORLULN Them 00mm»? go mad towards 12 Follow commas fro: mmiom] c Mdjmmon Emmi“ he ABSTRACT PERFORMANCE IN INTERNATIONAL COLLABORATIVE VENTURES: CASE OF THE GLOBAL CONSTRUCTION INDUSTRY By T. Cuneyt Evirgen The importance of collaborative ventures for competitiveness in today’s highly competitive global marketing environment is becoming more evident every day. A clear trend towards formation of such ventures is observed in many industries. Following an interdisciplinary approach, this dissertation draws concepts and constructs from difl‘erent disciplines together and develops and tests a model of international collaborative venture performance. Performance is modeled as being multidimensional and its associations with the six relationship constructs derived Sam the literature are examined. These six constructs are partner fit, mutual commitment, interdependence, mutual trust, two-way communications, and balanced power. Additionally, a thorough analysis of the global construction industry is made using secondary data The data used to test the model were collected through a mail survey of the top 225 international and top 400 US contractors. Furthermore, twelve in-depth interviews were conducted with executives and industry experts that provided qualitative data used to enrich the interpretation of the results. Pearson correlation and regression analyses were used in data analysis. The results suggest that partner fit and commitment are the most critical factors afl‘ecting overall collaborative v M W“? through their t among the raid: collaborativeventureperfonnanceanditsvarious dimensions. Ontbeotherhand, mutual trust, two-way communications and interdependence appear to afi‘ect performance through their efl‘ects on commitment. Further, some significant relationships are found among the relationship constructs. Copyright by T. CUNEYT EVIRGEN 1995 Dedicated to my wife and daughter Giiniz Evirgen & Tugce Evirgen for their faith, love and support ACKNOWLEDGMENTS I would like to express my sincere thanks to many people for their contributions duringmygraduate career, andespeciallyduringthe dissertationphase. First ofall, I am grateful to the members ofmy dissertation committee - Professor S. Tamer Cavusgil, Chairman, Professor Roger J. Calantone, Professor W. Paul Strassmann, and Professor Stanley Fawcett - for their contributions in guiding and assisting me through my dissertation research. I am indebted to Professor Cavusgil for the inspiration he has provided as my mentorandthepositiveimpacthehashadonmycareer. Iexpressmyspecialgratitudeto him for helping me to meet various challenges during all stages of my dissertation research. I am gratefill to him for the invaluable intellectual, academical, professional, and personal support he has provided. He helped me and my family to untangle and stand a variety of pressures and overcome many challenges throughout my doctoral study. His expertise and vision in international business and marketing, and encouragement of my research interests helped me in my professional development. I am also delighted to have worked as a research assistant and project leader for him which has been an invaluable experience in its own right. I am grateful to Professor Calantone for- his constant encouragement and support as I went through the doctoral program and research. His contributions, particularly in regards opal!“ deveiopr committe the cons: construct? To to serve or suggestions research. I w: Business Ed a“3"de to r 1115c regards to methodological issues, in my dissertation research have been invaluable. His open and constructive suggestions have been instrumental in my research and professional development. To Professor Strassmann, I express my gratitude for being on my dissertation committee and helping me in my research on the construction industry. His expertise in the construction industry has been an invaluable contribution to my research His constructive suggestions have helped me to design and implement a successful research. To Professor Fawcett, I express special thanks for finding time in his busy schedule to serve on my committee and for his supportive interest in my research His practical suggestions, in particular, have been very helpfiil in designing and implementing this research. I would like to extend my gratitude to MSU-CIBER (Center for International Business Education and Research) for the generous dissertation research grant that was awarded to me. Without such support, conducting this research would not be possible. I also thank my parents, Ilhan Evirgen and Gitzin Evirgen, and my brother Mehmet Evirgen for their never ending love and support fi'om overseas. Additionally, I thank Zuhal Uzun, my aunt, and Ozkan Karakisla and Seval Karakisla, my parents-in-law, for their overseas love and support. I thank my aunt Professor Eser Belding and my uncle-in-law Thomas Belding for their continuous support and encouragement from within the United States. I would like to say a special thank you to Cern Akyol for his warm and sincere fiiendship, and support, helping us to overcome various challenges. Fuuliy, I' su; md support ha. pirsuit for r d; Crinizfm being Finally, my deepest appreciation are extended to my wife, Guniz Evirgen, for her outstanding support, encouragement, love and patience. Her understanding, appreciation and support have been invaluable. Without her love, fiiendship and encouragement, my pursuit for a doctoral degree would not have come to a successful conclusion. Thank you Gunizforbeingtherewithmeandformewhenlneededit. LIST 1 LIST CHAPTER] 1.1 1.2 1.3 1.4 CIWTER 2 2.1 2.2 2.3 2.4 2.5 26 2.7 CWTER: 3i 32 3,3 3.4 3.5 CHAPTER 4.1 4.2 4.3 4.4 4.5 TABLE OF CONTENTS 1’18: LIST OF TABLES .............................................................................. xi LIST OF FIGURES ............................................................................. xiv CHAPTER 1. INTRODUCTION ................................................................... 1 1.1 Perspectives on Marketing Relationships .................................. 2 1.2 Perspectives on Alliances .......................................................... 4 1.3 Evaluation of the Current Literature ......................................... 10 1.4 Purpose of the Study ................................................................ 12 CHAPTER 2. THEORETICAL FOUNDATIONS AND MODEL DEVELOPMENT .................................................................... 14 2.1 Social Exchange Theory ........................................................... 14 2.2 Power and Resource-Dependence Theories .............................. 18 2.3 Interorganizational Relations .................................................... 21 2.4 Relationship Literature in Marketing ......................................... 24 2.5 Collaborative Venture as an Exchange Process ......................... 30 2.6 Theoretical Model of International Collaborative Venture Performance ............................................................................. 34 2.7 Research Hypotheses ................................................................ 48 CHAPTER 3. RESEARCH DESIGN ............................................................. 54 3.1 Phase 1: Analysis of Secondary Data ....................................... 54 3.2 Phase 2: In-Depth Interviews .................................................. 56 3.3 Phase 3: Empirical Testing ...................................................... 56 3.4 Measurement ........................................................................... 57 3.5 Data Collection ........................................................................ 61 CHAPTER 4. THE GLOBAL CONSTRUCTION INDUSTRY ..................... 63 4.1 Introduction ............................................................................. 63 4.2 Trends in World Construction Exports ..................................... 66 4.3 Concentration of the World Market for Construction Exports & Internationalization of the Top Contractors ............. 118 4.4 Industry Strategy ..................................................................... 123 4.5 Alliances in International Construction .................................... 135 CiflPTERS 5.1 5.2 5.3 5.4 CKKPTERE 6 l 62 63 CHAPTER? 7.1 7.2 73 74 7,5 7.6 BIBL CHAPTER 5. SURVEY RESPONSES AND PROFILES ............................. 5.1 Survey Responses ................................................................... 5.2 Respondent Profiles ................................................................ 5.3 Partner Profiles ....................................................................... 5.4 Profiles of the Collaborative Ventures ..................................... CHAPTER 6. UNIVARIATE & MULTIVARIATE ANALYSIS ................... 6.1 Univariate Analysis and Reliability of the Construct Measures. 6.2 Pearson Correlation Coeficients .............................................. 6.3 Multiple Linear Regression ...................................................... CHAPTER 7. CONCLUSIONS AND IMPLICATIONS ............................... 7.1 Evaluation of the Model .......................................................... 7.2 Contributions to the Literature ................................................ 7.3 Managerial Implications .......................................................... 7.4 Public Policy Implications ....................................................... 7.5 Limitations of Research .......................................................... 7.6 Suggestions for Future Research ............................................ BIBLIOGRAPHY ............................................................................. 148 148 151 158 162 169 169 185 191 200 200 212 214 223 226 228 230 TABLE inkil Tuk4l Table 4.2 Table 5.1 Thk52 TukSi kaSA TdkSS Tuk56 TOkS] Tuk53 Table 5.9 Table 5.10 Tabit: 5.11 We 5.12 Table 5.13 Table 5.14 TABLE Table 3.1 Table 4.1 Table 4.2 Table 5.1 Table 5.2 Table 5.3 Table 5.4 Table 5.5 Table 5.6 Table 5.7 Table 5.8 Table 5.9 Table 5.10 Table 5.11 Table 5.12 Table 5.13 Table 5.14 LIST OF TABLES Construct Measures and References .......................................... Top Contractors in the World in 1993 ....................................... Internationalization of the Top Contractors by Nationalities in 1993 ...................................................................................... Survey Response Rates ............................................................. Number of Respondents in the ENR Rankings .......................... Total Billings of Respondents (in million USS) ......................... Total International Billings of Respondents (in million USS) ..... Years in Business ...................................................................... Years of Involvement in International Contracts ........................ Current Involvement in International Contracts ......................... Country of Origin of Respondents ............................................. Region of Origin of Respondents ............................................... Whether Respondent is a US or Non-US Contractor ................. Country of Origin of Partners .................................................... Region of Origin of Partners ...................................................... Whether Partner is a US or Non-US Contractor ......................... # of Employees of Partner Contractors ....................................... Base 58 119 122 149 152 152 153 153 154 154 155 155 155 160 160 161 161 Irhle Table 5.15 Table 5.16 Table 5.17 Table 5.18 Table 5.19 Table 5.20 Table 5.21 Table 5.22 Table 5.23 Table 5.24 Table 5.25 Table 5.26 Table 5.27 Table 5.28 Table 5.29 Table 5.30 Table 5.31 Table 5.32 Table 6.1 Table 6.2 Em Whether There Has Been Any Prior Transactions with the Partner .................................................................................. 161 Likelihood of Doing Business Again ........................................... 161 # of Firms in the Collaborative Venture ...................................... 163 Whether the CV is On-going or Not ........................................... 163 Project Timing (for completed projects only) .............................. 163 Whether Project Within Budget or Not (for completed projects only) ............................................................................. 163 Project Location ......................................................................... 164 Project Region ............................................................................ 165 Partner-Project Location Combination ......................................... 165 Project Owner ............................................................................. 165 Whetha Local Government Influenced the Relationship in the CV ........................................................................................ 165 Nature of Project ........................................................................ 166 Type of General Building (only for general building projects) ...... 166 Form of Collaboration ................................................................. 166 Type of Collaborative Venture ..................................................... 167 Type of World Done in the Project .............................................. 167 Type of Contract Bid ................................................................... 167 Whether There Was Any Team Building Program ........................ 167 Efi'ectiveness Measures ................................................................ 174 Eficiency Measures ..................................................................... 174 xii ma Table 6.3 Table 6.4 Table 6.5 Table 6.6 Table 6.7 Table 6.8 Table 6.9 Table 6.10 Table 6.11 Table 6.12 Table 6.13 Table 6.14 Table 6.15 Table 6.16 Table 6.17 Table 6.18 Table 6.19 Table 6.20 Table 6.21 Table 6.22 Table 6.23 Table 6.24 Em Stability Measures ........................................................................ 174 Client Satisfaction Measures ......................................................... 175 Success Measures ......................................................................... 175 Overall Performance Measures ...................................................... 176 Structural Fit Measures ................................................................. 177 Strategic Fit Measures .................................................................. 177 Partner Fit Measures ..................................................................... 178 Commitment Measures ................................................................. 178 Value of Resource Measures ......................................................... 179 Interdependence Measures ............................................................ 179 Trust Measures ............................................................................. 180 Communication Measures ............................................................. 180 Balanced Power Measures ............................................................ 181 Construct Measures and Their Reliabilities .................................... 189 Pearson Correlation Coefficients ................................................... 190 Pearson Correlation Coeflicients - Partner Fit ............................... 192 Pearson Correlation Coefficients - Commitment ............................ 193 Pearson Correlation Coefficients - Trust ........................................ 193 Pearson Correlation Coeflicients - Balanced Power ....................... 194 Results of Regression Analysis ...................................................... 195 Multiple Regression Analysis - Partner Fit ..................................... 198 Multiple Regression Analysis - Commitment ................................. 199 En: finnZl finn4l Figure 4 2 Figure 4.3 Hwn44 Fl83:45 Esters fifln47 F1glue 4.8 Him 49 Figure 410 figure 4.11 Eim Figure 2.1 Figure 4.1 Figure 4.2 Figure 4.3 Figure 4.4 Figure 4.5 Figure 4.6 Figure 4.7 Figure 4.8 Figure 4.9 Figure 4.10 Figure 4.11 LIST OF FIGURES Proposed Model for International Collaborative Venture Performance ................................................................................. World Construction Exports: Total International Contract Awards ........................................................................................ World Construction Exports: Contract Awards by Regional Markets ....................................................................................... World Construction Exports: Percentage of Contract Awards in Regional Markets .................................................................... World Construction Exports Contract Awards in Project Markets ....................................................................................... World Construction Exports Percentage of Contract Awards in Project Markets ....................................................................... World Construction Exports: Contract Awards by Nationalities. World Construction Exports: Percentage of Contract Awards by Nationalities ............................................................................ World Construction Exports: Number of Contractors in the Top 225 by Nationalities .............................................................. World Construction Exports: Contracts Awards by Nationalities Within Europe .............................................................................. World Construction Exports: Percentage of Contract Awards by Nationalities Within Europe ..................................................... World Construction Exports: Number of European Contractors in the Top 225 by Nationalities ..................................................... xiv Km 35 70 73 74 77 78 8O 81 82 83 84 85 first: 17131111412 Figure413 Eyre 4.14 FrgureHS Figure416 Figure417 Figure418 Figurttl9 Flint-4 :0 “84:41.21 58m 4 23 583:4 23 Elam: Figure 4.12 Figure 4.13 Figure 4.14 Figure 4.15 Figure 4.16 Figure 4.17 Figure 4.18 Figure 4.19 Figure 4.20 Figure 4.21 Figure 4.22 Figure 4.23 Figure 4.24 Figure 4.25 Figure 4.26 Figure 4.27 Figure 4.28 Figure 4.29 1489 Middle East Construction Exports: Overview .............................. 88 Middle East Construction Exports: Contractors by Nationality. 89 Middle East Construction Exports: Percentage of Total by Contractor Nationalities ............................................................... 90 Asia Construction Exports: Overview ......................................... 92 Asia Construction Exports by Contractor Nationalities ................ 94 Asia Construction Exports: Percentage of Total by Contractor Nationalities ................................................................................ 95 Afiica Construction Exports: Overview ...................................... 96 Africa Construction Exports by Nationality .................................. 98 Afiica Construction Exports: Percentage of Total by Contractor Nationalities ................................................................................. 99 Europe Construction Exports: Overview ..................................... 100 Europe Construction Exports by Contractor Nationality ............... 102 Europe Construction Exports: Percentage of Total by Contractor Nationalities ................................................................................. 103 North America Construction Exports: Overview .......................... 104 United States Construction Exports Overview .............................. 105 Canada Construction Exports Overview ....................................... 106 North America Construction Exports by Contractor Nationality .................................................................................... 108 North America Construction Exports: Percentage of Total by Contractor Nationalities ................................................................ 109 US. Construction Exports by Contractor Nationality .................... l 10 Elm Ease Figure 4.30 US. Construction Exports: Percentage of Total by Contractor Nationalities .................................................................................. l 1 1 Figure 4.31 Canada Construction Exports by Contractor Nationalities ............. 112 Figure 4.32 Canada Construction Exports: Percentage of Total by Contractor Nationalities .................................................................................. 1 13 Figure 4.33 Latin America Construction Exports: Overview ........................... 115 Figure 4.34 Latin America Construction Exports by Contractor Nationality .................................................................................... 116 Figure 4.35 Latin America Construction Exports: Percentage of Total by Contractor Nationalities ................................................................ 1 17 Figure 6.1 Proposed Model for International Collaborative Venture Performance ................................................................................. 173 CHAPTER ONE INTRODUCTION Cooperativcventuresoralliancesamong companiesinthehighlycompetitiveglobal marketingenvironrnenthavebeenontherise. The consensusamongthecompanypresidentsat the 1992 Business Week Presidents' Forum was that "those senior executives who negotiate themostsuccessfiilalliancesandpartnerships ..... willbethechampionsoftheglobalized firture" (PetersandPeters 1992). Itwasalso noted atthe sarnefonnnthatallianceswill provide the springboard to move to new levels of innovation, growth and profitability. Revesz and Cowley(1986)notethatcompaniesarefindingoutthatinorderto competetheymust cooperate. An article in Chicago Tribune (April 26, 1992) points out that America's electronics companies are forming strategic alliances with their Japanese and European rivals in order to surviveandrernainintheglobalmarketplace. Thistrendisalsoevidentinmanyotherglobal industries. Johnston and Lawrence (1988) cite many industries where what they call ”value- adding partnerships" have evolved or are evolving such as the construction, automobile, book publishing, movie, drugs and pharmaceuticals industries. Nevaer and Deck (1990) have concluded that “only the largest of companies today are capable of competing on their own in the growing international markets” (p.197). Inthemarketingliterature, ontheotherhand,itissuggestedthatmarkctingis experimcing a paradigm shift fi‘om transaction-oriented to relationship-oriented marketing with its recent focus on the concept of relational exchange and relationship marketing (Kotler 1991; Webster 1992). This new focus also fits well into the study of international cooperative 2 venuessimedwympreseuafomofhneorgmfinfionaluneacfionmvolvingmerdmnge relationship (Hamel 1991). 1.1 PERSPECTIVES ON MARKETING RELATIONSHIPS Therehasbeenashifiinthefocusofmarketingovertheyears. In 1970s, tlnefocushas been on the transaction Creation, valuation, stimulation and fincilitation of the transaction has beenemphasizedasthedomainofmarketing Inthispespectiveimilatealtransactionshave been emphasized and investigated. In other words, either buyer‘s or seller's perspective has been considered (or of course the efi'ect of the transaction on the external environment). Amdwrhnpomfeatumhasbemthmbusmessnamacfiomhavebeenemhasindmode 1967). However, later on in the broadened concept of marketing the domain has been expanded to include all types of transactions involving an exchange (Bagoza' 1975; Kotle' and Levy 1969). That is marketing has been expanded to include social organizations and other nonprofit! nonbusines organizations as well (Alderson 1957; Amdt 1983; Hunt 1983; Sten and Reve 1980). Recently, however, the attention is turned on to the concept of relational exchange and with that to relationship marketing (Webster 1992). Kotler (1991) calls this a paradigm shift: shifi fiom transaction-oriented to relationship-oriented marketing. The basic premise of this new approach is that marketing is characterized by exchange relationships (e. g. buyer-seller, seller-seller relationships) and the key to success lies in developing and maintaining effective and eficient relationships. According to Webster ((1992), a new conception of marketing will focus on managing strategic partnerships. In this regard, strategic alliances, partnerships or collaborative an'angenents among firms have received consideable attention (Anderson and 3 Narus 1991; Bowersox 1990, Bucklin and Sengupta 1993; Devlin and Bleackley 1988; Lewis 1990;Morganandert1994;Robicheauxand Colenan 1994; Stoltrnan, GentryandMorgarn 1993). Johnston arnd Lawrerce (1988) has suggested the term "value-adding partnership" to referto "asetofindependentcompaniesthatworkcloselytogethetomanagetheflow of goodsandservicesalongtheentirevalue-added chain" (p.94). Ihebasicmotiveistoeeatea veymngammghlywnmefifiwvdueaddedchainbybnngingdwmmplenenaqsnmgflu of the partners together (Kogut 1985). Collaborative arrangenents allow firms to have access mcapabflifiesdnatdwydomthavethemsdveswlfichmcfificalmauviveandrenain connpetitive in what Stalk, Evans and Schulrnan (1992) call ”capabilities-based competition”. Similarly, such arrangenents allow transfer of tacit knowledge which is highly valuable. Drucker (1992) notes that in today's knowledge society ”knowledge is the primary resource for individuals and for the economy overall” (p.95). For instance, NUMMI (a joint venture betweenToyotaMotorsandGeneralMotors) hasbeenvey successful infacilitatingnmtual learning of critical know-how and technological transfer (JAMA-Forum 1993). This is an instance of an interfinn collaboration for the transfer of knowledge. Asaresultofthesetrends, more and more studiesarebeingreportedinthemarketing liteature that focus on marketing relationships (eg. Anderson and Narus 1990, Bucklin and Sergupta 1993, Dabholkar, et al. 1994; Dwyer, Schurr and Oh 1987, Heide and John 1992, Moorman, Deshpande and Zaltman 1993; Morgan and Hunt 1994; Robicheaux and Coleman 1994). 4 Inannmary,adearnendtowardsfomfingcoflaborafivemangenenisobsevedin nunyirndusnies Sucharrangenentshavealsobeguntoroceiveconsideableattentionfiom marketing researclners. 1.2 PERSPECTIVES ON ALLIANCES Dnsnidyofhnefinnwflabomfionsinintenmfionalbusinesshasatnactedalotof irnterest among academicians and such collaborations have found a great deal of popularity arnongfirms.Inthe1iterature,however, most ofthestudiestendtofoersonjointventures (Bearnish 1987; Bearnish arnd Banks 1987; Buckley and Casson 1988; Geringer and Hebert 1989; Hennart 1988;1(ogut 1988; Salk 1993; Wallace 1993). A buzz word in this area ofstudy isstrategicalliancewlnichisusedbysome authorsto descn’becooperativeventuresO-Iarnel 1991; Harrigan 1988; Jain 1987; Killing 1988; Ohmae 1989; Osborn arnd Bauglnrn 1990; Spekrnan arnd Sawhney 1990; Sengupta 1993) and joirnt ventures are regarded as one type of alliance (Harrigan 1987). On the other hand, in another approach, joirnt ventures, outsourcing agreements, product licensing and cooperative research are grouped together and called "competitive collaboration” (Hamel, D02 and Prahalad 1989). Furthermore, Buckley arnd Casson (1988) refer to cooperative ventures in international business which they see to be some altenative to wholly owned (100 per cent equity) foreigrn operations. Hence, in their view, a cooperative venture ”may indicate a joirnt venture, an irndustrial collaboration agreement, licensing, franchising, subcontracting, or even a management contract or counte- trade agreement" (p.19). Moreover, such global collaborations are firrther referred to as coalitions (Porter and Fuller 1986), cooperative arrangements (Contractor and Lorange 1988; Root 1988), 5 competitive alliarnces (Revesz arnd Cowley 1986), irnternational corpOrate linkages (Auste 1987),collaborativeageernents(1\dorrisandHeget 1987), cooperativeventures(Roehland anitt1987),orpartnerships(Root1988).]nthisstudy,wewillrefetosuchventuresas collaborativeventures tobetteretlecttheelementofcollaborationinheerntinallsuch ventures Following on the definition mggested by Mowey (1988), an irntenational collaborativeventureisdefinedas: 'aninstanceofinterfinncollaborafioninpmrbrcrdewlqment, "interference, or naketirrgflratmnatiomlbowdaries, isnotbasedonarm's-Iengrhmket transactions and includes substantial contribution by par-om of apital, technolog, orathermts“(pp.2—3). Hence, these ventures are more than arm's-length or open market transactions, but fall short of merger (Forte arid Fulle 1986; Root 1988). This definition clearly coves joirnt vemHesmndoflnertypesofalfimceswchasficensingageenenampplyageenens, nnarketirngagreenentaetc. 1.2.1 Motives Behind Collaborative Ventures A comparison and analysis of collaborative ventures between US and foreign fimns irn dgummrficmfinghfluMeshasshownflmmemofivesbdfindmenvmyaeosshflusnies although sonne do overlap (Mowey 1988). Some of the identified motives are market access (botln access by foreign partner to the US market and access by US firms to foreign nnarkets), risk sharing, product line expansion, access to capital, joirnt development ofnew processes arnd products, access to technological and managerial expertise and advanced techrnological and marnageial techniques. 111 d mere are ri hmledge lounge 19 Hagen 19: Vulture ail} 6 Indefiteannevanmnsmofivesforenteinghnoaconaboradvevemmamidenfified. These are risk reduction, econonnies ofscale, scope and/or leaming, nnarket, teclnrnology and/or knowledge access, arnd shaping competition (Auster 1987; Badaracco 1991; Contractor and Lorange 1988; Harrigan 1987; Henrnart 1988; Jain 1987; Kogut 1985, 1988; Morris arnd Heget 1987; Porter arnd Fulle 1986). The relevance of tlnese motives for a collaborative ventnn'ewilldependonthefonnoftheventure. Intechnological transfersarndexdnanges, for hnstamednnninnwfiwwiflbemobtainorslmretechnologyflmismtavaihblemmo codytoproducein-housemuste 1987). Ontheotherhand, hedgingriskarndshaping hndusnywucnnewifldsobepmfimhdyrdevamwfiveshnmmgenensmonemd Fulle 1986). Nevae and deck (1990) have observed that “firms are increasingly becoming specialized arnd seek divesification through alliances” (p.198). Studies on joint ventures have also shown that these are also motivated by reducing irncerntive to clneat arnd enabling implementation of counterthreats (Buckley arnd Casson 1988), allayirng natioml reactions in the foreign country (Hennart 1988), enhancing market power (Kogut 1988) arid providing revenue enhancing and/or cost reducing opporturnities (Beannisln arnd Banks 1987). A major motivator of collaborative ventures is the fact that in today‘s rapidly changing ervirornrnerntal conditions (especially the technological developments and their rapid diflinsion) nothing stays proprietary for long No one firm can internalize an of its opeations arid achieve efliciency. A complenerntary fact to this is the rapid surge towards global competition and the rneed to be globally competitive for long-term viability. Hence, firms must work with partrners to be able to operate and compete globally (Ohmae 1989). Another trend that promotes 7 coflaborafiwvmisthmdevdopmgnewproduesandpewmfingnewnwkeshave becomeverycostlyforanirndividualfinnto afl‘ordwithout losing connpetitivenessandfew cornpam'escangoaloneirneverysitnrationfiiarniDozandPrahalad1989).Firmsneedto haveupsfieamanddownshwnlmow—howmndtheycangeaccesstowhattheydo nothave byfonningcollaborativeventuresthroughwhich non-marketablelanow-howcanbetransferred (Hennart 1988). Coflaborafivevenmresalsohelpindeafingwiflnthepmblensofuncetaimymnd opporturnism (Williamson 1975, 1981) since the partner. contribute assets to the venture arnd mhueenedmnsmcceu.0mfinalpomtflmtneedsmbeaddressedisdBtcoflaborafiw ventures enable the transfer of tacit or nonmarketable knowledge (Hennart 1988; Kogut 1988). This type of krnowledge can not be transfered otherwise, unless a complete meger or acquisition takes place, because it is embedded in an organization. Today's global competitive enviromnernt is characteized by irntense knowledge-driven competition arnd rrnarny firms use collaborative ventures to form krnowledge links with othe organimtions to capitalize on krnowledge arid remain competitive. Such links enable the firms to get access to both migatory (that can be transfered easily in a formula or product) and embedded (resides primarily in relationships within the firm and defines how a particular firm does business) knowledge in the otlne fimns (Badaracco 1991). 1.2.2 Classification of Collaborative Ventures Various classifications of collaborative ventures suggested in the literature can be used to identify what is exchanged based on the context of collaborative ventures. 8 Orne such classification distinguishes between horizontal vs. vetical relationslnips. In flufonnetypeofvemireeachpmmepmvidessinfihrmputsmdwvemnewheeashndw latte type partrnes make complementary contributions (Contractor and Lorange 1988; Harrigan 1988). In otlner words, irn horizontal collaborative ventures partners are engaged irn themupsueunmdownsuwnacfivity,andmveficdcoflabomfivevemireswhfleom pumisengagedmmupsneunacfivitytheotheisengagedmadownsneamacfivhy. Sirm’lardistinctionsarenotedbyotheauthors althoughtheyusedifl'eentteminologysuchas symmetrically vs. asymmetrically positioned (Buckley and Casson 1988), scale vs. link (Hennart 1988), quasi-horizontal vs. quasi-vertical irntegation (Root 1988), horizontal vs. vetical integation (Kogut 1985) and Y vs. X coalitions (Porte and Fulle 1986). In arnotlner approach the value-added chain (Porte 1986) is suggested as a fiarnework to distinguish among collaborative ventures. In that case, the location on the valueadded chain oftheresourcesexchangedthroughtheventurebytheparmesisusedtoclassifyitRoot (1988) notes that "a firm may enter into a cooperative agreeneit or joint venture to obtain resources that pertain to any link or set of links in its value-added chain" (p.71). For example, Porter and Fulle (1986) distinguish between technology, opeations and logistics, and marketing, sales and sevice coalitions. Yet anothe type of classification for collaborative ventures can be based on the motive(s) behirnd their formation. In that respect Root ( 1988) distinguishes among technology sourcing, components/assembly sourcing and market entry collaborative ventures, whereas Porter and Fuller (1986) discuss access (to knowledge or ability), risk-reducing arid economy (of scale or learning) coalitions. Hakansson and Johansson (1988) add anothe dimension to 9 classification ofinter-firm irnteactions iii tems of formal vs. informal coope'ation In their view,“fornulcoopeafionismomvieblebothwiflfinflwwopeafingfimumdomndem othe actors ...[arnd]... informal cooperation is based on trust developed tlnrough social exchange” (p.374). Arnotlnerwidelyusedtype ofclassificationisbased onowne'shipwhere collaborative ventures are classified as equity (e.g. joirnt ventures) or contractual (e.g. licensing ageennents) arrarngernnents (Harrigan 1988; Killing 1988; Root 1988). In the former type, partners have equityintlneventurewhereasinthe lattecaseno equityisinvolved. Lorange (1989), onthe othehand, identifiesfourtypesofcooperativeventures: projectbasedcoopeativeventures, ficensingcoopeafiwvennnewithpermnenflycomplenmtmymlesbydnpmand jointly owned business ventures. Kantei’s (1988) classification of partnerships include nnulti— orgarnization service alliances, opportunistic alliances, and complementary alliances. In regards to the global construction industry which is the focus of the present researcln, Seaden (1992) notes that “globalization is evident at evey level of the construction irndustry ..... not only are building materials markets and companies becoming global, so too are design arid contractor services” (p.53). Moreover, this industry has been characteized by a number of collaborative relationships (Hoffmann 1992; Rudy 1992). According to Johnston and Lawrence (1988), the construction industry has always operated like a value-adding partnership where geneal contractors subcontract almost all the work on a construction project. Such arrangements have also been called "quasi-firms” in the construction irndustry (Eccles 1981). Other types of collaborations are also observed among contractors and owners and in consortia formed for mega-projects such as the Channel Tunnel (UK) or the 10 Bosplnorous Bridge (Turkey). Strassrnann and Wells (1988) note that irn recent years botln teduucdmd‘eundfimncehavebecomeassodatedudthjohuvemuingmdnegobal Furthernnore, global construction represents a multi-billion dollar industry which is vey mwhmdesmdiedbymarkefingreeardies.Despneadgnifimmdedhwmdweany8Usflw hxhistryhasbeenondnefisesime1987althoughtheehasbeenasfiglndedmein1992.1tis dsooneofflwgobalhndusuieswheeUSfinnsrenaincompefifiveundammnongflnemp playes. These clnaracteristics of the global construction industry are compelling reasons to sdeathishndusnyasatargeforreseamhonintenafionalcoflabomfivevenmres. 1.3 EVALUATION OF THE CURRENT LITERATURE Altlnough the amount of studies on collaborative ventures have been accumulating at an increasing rate, only a limited numbe of conclusions have emeged. In reviewing the literature, various obsevations can be made. First of all, as Sheth and Parvatiyar (1992) have observed a comprehmsive theory of alliances is lacking in the literature. Although various conceptual models have been suggested, very few have been empirically tested. There appears to be a gear deal of ambiguity and confusion in the literature about relationship development and its efl‘ects on collaborative venture performance. Particularly, very few studies have fowsed on the effects of relationship constructs (e. g. trust, commitment, interdependence) on collaborative venture performance. Furthemore, most of these studies have used a urnidinnensional representation of peformance though its multidimensional nature has been recognized (Salk 1993). appears Point n dt'veiop: mum ii 11 Iheeseensmbeamnnbeofcausesofdwambigutymndconfiisionnuroundingdus areaofresearch Firstofall,tlneredoesnotappeartobeaconsensusontlnedefinitionsoftlne constructsandtheiroperationalizations. Researchers do notevenseemtoreachconseisus on tlneterminology. Mostoftlne constructs ofintenestareborrowed fiom otherdisciplinessuchas sociology, social psychology, and organizational behavior and their operationalizations in marketing pose fiirther problems (Sheth arnd Parvatiyar 1992). Moreover, relationslnips among thoseconsUudsamMyedeanydefined.Conuadie0iyfindhngshavebeeireponed regarding the direction of some relationships (Anderson and Narus 1990). Thee also appears to be a lack of integation of relationship marketing and alliarnce www.myusefidmdghumdsynegsficefimmbeobmnedbyhnegafingdneseMO streams of research. The liteature also lacks studies focusing on consumer or industrial services irndustries. Services tend to be understudied in the marketing literature and study of collaborative ventures in sevice industries appears to be no exception. On the othe hand, the literature provides usefiil frameworks and a list of relevant constructs. Many relationslnips suggested in conceptual studies wait to be tested. There also appears to be challenging concepts and provoked interest in theory building in this area. At this poirnt, it might be better to focus on convergent thinking (Kuhn 1970) and synthesize the developments achieved so far. Building up on and integrating previous studies can be very fruitfiil to advance krnowledge in this area of research. 12 1.4 PURPOSE OF THE STUDY Tlnereviewofflnwnabomfivevenmmfiteaturerevealsdnatflneeamsfiflmydark areasthatneedclarificationandgapstobefilled. Thisstudyattenptstoaddressissuesrelated to relationship developnnent and performance in irnternational collaborative ventures. The study spedficaflyfomseonflnrdafionslfipbeweenthepumesinahonzomalwflaborafive ventnireandhowvariousaspectsofthatrelationship afl‘ectventurepe'fonnance. Ihprtriiay mofflwmumdewlopwdmminwgrweddnmfimlmodelofmnnfiaul coflabomrive venture performance. Intlnisconterttheprimaryresearchquestionthatthe studyattenptsto addressis: whatistheimpactofeachoftherelationship constructs(partnefit, mutualcommitment, natural trust, interdependence, two-way communications arnd balanced power on the difl'erent performance dimensions (effectiveness, efiiciency, stability/durability, client satisfaction, and managerial wccess assessment)? The othe two research questions are: (1) what are the irnpactsofsti'uctural andstrategicfit on overall partnerfit; and (2)whatistheimpactofva1ue of resource on commitment? This study aims to contribute to the marketing liteature in the following ways: (1) integating relationslnip and alliance literatures to develop a theoretical model to bette understand the performance factors in intenational collaborative ventures; (2)clarifying the relationships annong various relationship constructs; (3) providing an enpiiical assessment of the proposed model; (4) focusing on horizontal collaborative ventures which tend to be understudied; and (5) providing a thorough analysis of a service industry which is understudied 13 Inaddifionmcormibufingtodneacadenfichteatureflwsmdyisalsoerpectedto geneueremhswhhmamgeidhnpficafiomflnatudnsiguficanflymrmihnewmageial undestandingandenhancedecision—maldng. 'I'hemacroanalysisoftheglobalconstiuction mdusuywiflhdpnmmgeswbenecompmhenddiesuuctmeofflwindusuymdassess wheretheircornpaniesstandirntlneindustryand whee competitioniscomingfrorn Since hnenafimnlafliamummnmrfiampresenawmmonwayofdomgbusinessmdfismdusuy, tlneresultsoftlnestudywilllnelp managestobetteundestandthefonnationandconduct of sucharrarngennerntsarndsuccessfactors. Suchunderstandingisespeciallyimportantsincesuch consortia typically irnvolve multi-million dollar mega-projects. Since construction represents orneofthesignificantirndustrieswheretheUnited Statesiscompetitive, theanalysisofthe industryaswellasthefindingsrelated to horizontal alliances orconsortiaintheindustryofl‘er significarnt public policy implications. Policy makers are expected to benefit from the results of the studyirn developingtheirplans to enhanceUS competitiveness. 'I'lneremainderofthisdisseitationisorganizedinfivechaptes. Chapteerresentsa review of the theoretical foundations upon which the proposed tlneoretical model is based It also includes description of the model and the hypotheses to be tested. Chapter 3 describes the research design irncluding data collection, measurements and methodological issues. Chapter 4 ofi‘ers a review of the global construction industry. Chapter 5 presents the survey response rates arnd the profiles of the respondents irncluded in the arnalyses. Chapter 6 presents the findings of the study arid discussion of the results. Finally, Chapter 7 provides the conclusions and implications for future research, manageial practice and public policy. 1.1 8( En comings: reactions T: contnbutc wnCEpl i disdpline YEW-“did c theory is comings: Capacity that car 1986), l: 10111 Ste; have S: “are, it. 101 {he 3‘ CHAPTER TWO THEORETICAL FOUNDATIONS AND MODEL DEVELOPMENT 2.1 SOCIAL EXCHANGE THEORY Exchange is defined as the type of association that involves “actions that are contingent on rewarding reactions from others and that cease when these expected reactions are not forthcoming“ (Blau 1964, p.6). The exchange approach focuses on the "benefits people obtain from, and contribute to, the process of social interaction" (Emerson 1981, p.31). Hence, the central concept in exchange theory is benefit which is called with difi‘erent names in difl‘erent disciplines such as value (sociology), utility (economy), reinforcement (psychology), reward or payofi‘ (social psychology). One of the important assumptions in exchange theory is that the flow of benefits from one actor to another tlnrough social interaction is contingent upon the benefits received "in exchange”. In this context, a resource is the capacity to provide some benefit to another. Moreover, it is goups rather than individuals that carry on the exchange and these are bound by obligations to each other (Turner 1986). In his exchange theory, Simmel describes the social exchange process in temns of four steps (Turner 1986). First, one party desires for an object that he values, but does not have. Second, another party is identified as possessing the valued object. At the third stage, the desiring party offers the other party an object of value already owned in return for the desired object. Finally, the other party accepts the offer and exchange takes place. 14 litnecess receives il S" \i siege 1 systematic below itit 111 they Viln- peoplc er Wards, “Change dfilied 1 Elmer ' 15 The necessary condition for exchange to take place is that both parties perceive what they receive is more valuable than what they give. Some basic principles of social exchange emerge fiom the approaches of difi‘erent exchange theorists. Turner (1986), in his review of the works of these theorists, provides a systematic overview and codification of these principles which will be briefly described below referring to the original authors. The attraction principle basically states that actors of exchange interact because they value (some at) each others resources. Blau (1964), for example, assumes that people engage in social exchange because they perceive the possibility of deriving some rewards. Hence, as the parties get more attracted to each other, the likelihood of an exchange to take place increases. Sirnmcl has argued that value is a fiinction of the need for and the scarcity of the desired object. Hence the value principle states that value of a resource for a party will be greater when that resource is less available and when that party has greater need for it. Emerson (1981), however, discusses the value of a reward and argues that such value is determined by its deprivatiorn, the need for it, the uncertainty regarding its acquisition, and the conditional and generalized enforcers that it is associated with. The power principle notes that the geater one party values the resource(s) of another party, the power of the latter over the former will be geater. Moreover, the power of a party will increase as the liquidity of its resources increases since it will have more exchange options and alternatives. (Simmel 1907, translation 1978). Levi-Strauss has pointed out that the norm of reciprocity governs all exchange relations which requires all those receiving valued sources to give their benefactors other tilted its slit stile receinitg‘ etchings: taken pla (Turner 1 inducer Morton lttlpl’Ot intn c more 11 Ward “pitta urchin; the Slat “ill ten RClaied CXChang. Commits Process 16 valued resources in return. The reciprocity principle is also put forward by Blau (1964) who states that “the need to reciprocate for benefits received in order to continue receiving then serves as a 'starting mechanism' of social interaction” (p.92). Subsequent exchanges are regulated by the norm of reciprocity which emerges once an exchange has taken place. “Thus, inherent in the exchange process, per se, is a principle of reciprocity” (Turner 1986, p.265). This principle is also important in ensuring the continuity of the relationship since it "induces individuals to remain socially indebted to each other” (Dixon 1984, p.15). Moreover, certain obligations for all members of the exchange emerge out of the norm of reciprocity. Expectations are formed regarding rights and obligations of exchange partners in an exchange relationship (Jones 1983). The more these obligations are violated, the more those deprived will tend to retaliate to the violators. Blau (1964) notes that people establish certain expectations about the level of reward that they must receive in an exchange relationship. He fiirther argues that these expectations will be more likely to be normatively regulated through the norms of fair exchange as the exchange relations get established. These norms play an important role in the stability of the exchange. The more these norms are violated, the more those deprived will tend to retaliate to the violators. Turner (1986) labels these as the justice principles. Related to these principles are the issues of cheating, opportunism and forbearance in the exchange relationship (Williamson 1975). Emerson (1981) notes that different aspects of the relatiorn, such as trust, comnnitrnent, solidarity, justice and equity concerns are developed through the exchange process. There is also the tendency for actors to become mutually dependent tlnrough the Q3 it} of de Pit 17 exchange. Indeed, the focus of social exchange theory is on tlnese interdependent transactions which distinguishes it from economic exchange theory (Cook and Emerson 1978; Emerson 1981). In his social exclnange theory, Emerson (1981) also draws attention to productive exchange which involves productive independence. In such an exchange both (or all) parties to the exchange contribute to collective gain of the goup and the benefit can only be obtained by such nnutual contribution. If either party fails, nobody benefits. Hence, the parties identify themselves with the interest of the collectivity. They attempt to maximize goup gain In other words, the parties are interdependent which reflects positively on the relationslnip since both (or all) contribute to obtain the benefit and value positive outcomes of the group. Thus, interdependence of the parties facilitate the exchange relationship to be productive. Power and dependence appear to be two constructs that relate to the social exchange process. However, exchange theory emphasizes exchanges that are mutually beneficial to both (or all) parties. Exchange facilitated through coercion is not taken into account in the theory. Social exchange theory states that unequal or asymmetric exchanges lead to power inequalities (Blau 1964). These asymmetric exchanges reflect unequal dependence of the parties to each other. This results in the less dependent party to have more power over the more dependent party, hence, power inequality (Emerson, 1962). The possible violation of the norms of reciprocity and fair exchange due to imbalance of dependence will, then, tend to destabilize the exchange relationship and reduce its productive aspects. me uni: call: M01 prc rel.- 18 2.2 POWER AND RESOURCE-DEPENDENCE THEORlES In his theory of power and dependence, Emerson (1962) argues that ”power resides implicitly in the other's dependency” (p.32). Any relation referred to in this theory can be person-person, group-person or group-group relation where a person or a group is called an actor. Central to the theory are the definitions of dependence and power. Dependence of actor A upon actor B is defined to be ”(1) directly proportional to A's motivational investment [italics in original] in goals mediated by B, and (2) inversely proportional to the availability [italics in original] of those goals to A outside of the A43 relation,“ and power of A over B is defined to be ”the amount of resistance on the part of B which can be potentially overcome by A " (Emerson 1962, p.32). Hence, power is seen as the potential to influence the other. Emerson (1962) views power of A over B to be equal to 3'8 dependence on A for some reward. Power relations are significant in social relations because such relations involve mutual dependence ties between the actors. Through these ties, each actor has some degree of potential influence over the other. Mutual dependencies that exist between the actors shape these ties. 0n the other hand, an actor is likely to have different levels of dependencies on others in different-relations. Jacobs (1974) suggests that there are two components of dependence which can be used to rank dependencies. These are dependencies resulting from the essentiality of the item received in the exchange and the availability of that item fi'om alternative sources. It follows that the more essential and the less available the item is, the more dependent the actor that wants to obtain it is on the other that can provide it. Such a situation results in a power imbalance. Since an exchange relation is balanced only when both (or all) actors depend: in ccm {Source ”Em: 19 have equal power or equal levels of dependence, power difl‘erentials reflect unbalanced relations (Cook 1977). Emerson (1962) argues that an unbalanced relation is unstable since it increases the likelihood of use of power. Such power difl‘erentials will increase the opportunism potential if the more powerful party decides to exploit its power advantage (Williamson 1975, 1979, 1985). Hence, exchange relations with equally powerful actors tend to be preferred due to fewer costs of the exchange process. (Cook 1977). It is argued that resource-based theory is the new theory of the firm (Conner 1991). Being in this tradition, the resource-dependence theory (Pfefi‘er and Salancik 1978) also focuses on the resources (inputs and capabilities) in the possession of an organization It argues that the ability to obtain and maintain resources is critical for survival of organizations. Borrowing fi'om exchange and power-dependence theories (Emerson 1962), the dependence of organizations on resources and the concept of environmental uncertainty are central in this approach. Interdependence arises due to uncertainty over access to resources. The environment is viewed as a source of scarce resources resulting in organizations that need them to be dependent on it. On the other hand, due to environmental uncertainty, the environment is not dependable itself. The theory assumes that organizations try to minimize their dependence on the environment and maximize the dependence of the environment on themselves (Spekman and Sawhney 1990). This way they can have more control over the allocation of resources. Thompson (1967) argues that in their attempt to reduce uncertainty and to have a more predictable environment, organizations enter into exchange relationships. On the other hand, dependence arises out of these relationships (Emerson 1962). If there is any ‘/_/ . 20 imbalance of dependencies, power difl‘erentials will be created that might result in unstable relationships as noted above. In the resource-dependence approach, the notion of dependence used is similar to that of Emerson's (1962). This perspective suggests that dependence is derived fiom the irnportanoe of the resource, the discretion of the other party over the resource it has and the availability of alternatives (Pfefl'er and Salancik 197 8). Expanding on this notion Heide and John (1988) distinguish between four ways that can afi‘ect the level of dependence: magnitude and/or importance of exchange, the outcome of the exchange in comparison to other possible exchanges, availability of alternative sources of exchange and replaceability of the otha party. They firrther assert that “transaction-specific assets create dependence, which is described by the extent of the replaceability of the exchange partner” (p.24). In this regard, they distinguish between potential dependence and realized dependence. Their model suggests that transaction-specific assets increase potential dependence which can be reduced by safeguarding those assets. The resulting level of dependence is realized dependence which can be measured by the replaceability of the exchange partner. In other words, safeguarding the transaction-specific investments increases the replaceability of the exchange partner. In their study of manufacturer-agency relationships, Heide and John (1988) have found that any offsetting investments used as safeguards by one exchange partner reduces its dependence by increasing the replaceability of the other partner. 21 2.3 INTERORGANIZATIONAL RELATIONS The notion of exchange has also been central in the study of interorganizational relationships (Levine and White 1961). In fact, Cook (1977) argues that exchange theory has been the dominant perspective in the study of interorganizational relations. Van de Ven (1976) defines interorganizational relationship as the occurrence of two or more organizations transacting resources among each other. Such relationships have also been defined as the occurrence of transactions, flows and linkages between organizations (Oliver 1990). Similarly, an exchange relationship between organizations is defined as ”a formal or informal set of arrangements between organizations involving the transfer of resources or services ( Seabright, Levinthal and Fichman 1992). Van de Ven (1976)'s theory of interorganizational relations posits that the organizations involved in a relationship with each other form a social system. Hence, interorganizational relations are viewed as a social action system. The objective of the organizations is to attain goals that they can't achieve independently. In this respect, interorganizational exchange has been defined as any voluntary activity between organizations involving transfer of resources for mutual benefit (Cook 1977; Levine and White 1961). Hence, as in any organized form of collective behaviour, organizations behave in such a way that collective and self-interest goals are attained. What is also important is that through the division of responsibility among the organizations interdependent processes emerge. In other words, actions of the organizations in the relationship are interdependent. This leads to specialized roles for the parties and development of behavioural expectations fiom each other (Van de Ven and Ferry 1980). 22 Inasimihrveintotheresourcedependencetheofies,itisalsoarguedthat interorganintional relationships arise due to resource dependencies. Cook (1977) suggests that organizations enter into interorganizational exchange relationships either because of specialization or scarcity of resources. Organizations and to exchange with other organizations to obtain necessary resources. In fact, resource scarcity has been noted as an important condition facilitating development of interorganintional relations (Aiken and Hage 1968; Levine and White 1961; Oliver 1990; Pfefi‘er and Salancik 1978; Thompson 1967; Van de Ven 1976; Van de Ven and Walker 1984). A second condition suggested by difl‘erent authors is domain consensus among the organizations (Levine and White 1961; Oliver 1990; Schermerhorn 1975; Thompson 1967; Van de Ven 1976; Van de Ven and Perry 1980; Van de Ven and Walker 1984). On the other hand, the scarcity of resources creates resource dependencies fostering organizational interdependence and specialization (Cook 1977). In other words, organizations’ need for resources push them into such interdependencies (Aiken and Hage 1968). Organizational interdependence is noted as the lowest common denominator in interorganizational c00peration (Schermerhorn 1975). In this context, Schermerhorn (1975) defines interorganizational cooperation as "the presence of deliberate relations between otherwise autonomous organizations for the joint accomplishment of individual operating goals " (p.847). Levine and White (1961) have suggested that there are four main dimensions to an exchange relationship. These are the parties to the exchange, kinds and quantities exchanged, agreement underlying the exchange and the direction of exchange. In terms of direction, they difi'erentiate between unilateral, reciprocal and joint exchange based on the direction 01 ofrawrcr omr‘imm flows ref orgasm} orgamri and direcr rtlations'r. D suggests: Oliver (] meraIior Exchange Stability sit}, no. of an 'm interorg “Wen: 23 direction of the flow of resources. Reciprocal exchange is where there is a two-way flow of resources between the exchange partners. Van de Ven (1976) suggests that resource and information flows between the organizations are the major processes within an interorganizational relation. Resource flows refer to the tangible or intangible items of value transacted between the organintions whereas information flows are the communications between the organizations about the items of exchange or the nature of the relationship. The intensity and directions of these flows define the degree of linkage between the organizations in the relationship (Van de Ven and Perry 1980). Difl‘erent determinants for interorganizational relationship formation have been suggested in the literature. In her review of the interorganizational relations literature, Oliver (1990) points out six contingencies that facilitate interorganizational relation formation which are necessity (legal or regular mandates), asymmetry (potential to exchange power), reciprocity (mutual benefits), efliciency (internal input-output ratio), stability (reduce uncertainty) and legitimacy (demonstrate reputation, image or congruence with norms). She concludes that multiple contingencies may be in efl‘ect in the formation of an interorganizational relation. Van de Ven and Walker (1984) further argue that an interorganizational relationship or cooperation is likely to arise under conditions of domain consensus. Interorganizational relationships are viewed as dynamic processes (Schermerhorn 1975; Van de Ven and Walker 1984). In this view, the process starts with a need for resources and communicating with other organizations that can provide them. Since an organization enters relationships with others to obtain needed resources, the resource fit 24 between its needs and the others' resource provisions is an important criterion in partner selection. In the course of the relationship, however, any change in resource fit may lead to dissolution (Seabright, Levinthal and Fichman 1992). During the process, resources are «changed incrementally to allow gradual development of trust and commitment and interdependence of the organizations increases in the process. 2.4 RELATIONSHIP LITERATURE IN MARKETING There are a growing number of articles appearing in the marketing literature that reflect a change in the focus of marketing thought. The emerging paradigm of marketing focuses on relational exchange rather than discrete exchange (Webster 1992). The findings of a group of European researchers called the Industrial Marketing and Purchasing (IMP) Group have refuted the assumption that marketing involves discrete transactions only (Shanna 1993). Moreover, exchange has been one of the central concepts in the development of marketing thought (Alderson 1957; Amdt 1983; Bagozzi 1975,1979; Hunt 1983; Kotler and Levy 1969; Kotler 1972; Stern and Reve 1980). Recognizing marketing as a process, the relationship paradigm emphasizes the relational aspects of the interaction between buyers and sellers in the context of both consumer and organizational/industrial marketing. Published material in a discipline reflects the current way of thinking in the that field. Interest in and diversity of various dimensions of marketing relationships are clearly evidenced in a stream of empirical studies reported in the literature in two of the top marketing journals in the past few years (Dam and Schul 1992; Heide and John 1990, 1992; Moorman, Zaltrnan and Deshpande 1992; Bucklin and Sengupta 1993; Crosby, Ems tn- Johnson Nair 19 the: tr. suggcste rpproacl 1988, 15 inrerdisc Mai: 1991?: “R W mime 2.4.1 1 Offers 1 (CMSE domina (Eamon lm‘olvu Mm0n: 25 Evans and Cowles 1990; Anderson and Narus 1990; Anderson and Weitz 1992; Hallen, Johsnson and Seyed-Mohammed 1991; Morgan and Hunt 1994; Noordewier, John and Nevin 1990; Moorman, Zaltrnan and Deshpande 1993). In addition to those suggested in these empirical studies, there have also been a number of conceptual fi'ameworks suggested in the literature to describe buyer-seller relationships such as the network approach (Thorelli 1986,1990; Shams 1993; Hakansson 1990; Hakansson and Johanson 1988, 1993; Johanson and Hallen 1989; Easton and Araujo 1989) and a number of otha interdisciplinary approaches drawing from sociology, social psychology, economics and marketing (Dwyer, Schurr and Oh 1987; Frazier, Spekrnan and O'Neal 1988; Webster 1992; Frazier 1983; Stern and Reve 1980 ; D02 1988; Robicheaux and Coleman 1994). The perspectives, notions and concepts suggested by these fi'ameworks will be briefly reviewed below. 2.4.1 Network Approach The network approach developed by researchers at the Uppsala School in Sweden offers many useful insights to understanding relationships among industrial firms (Cavusgil 1989, 1993). It is contended that this approach may be emerging as the dominant paradigm in organizational buyer behaviour and organizational marketing (Easton and Araujo 1989). Thorelli (1986) defines networks as two or more organizations involved in long-term relationships. Networks can be identified as connected exchange relations between independent companies (Johanson and Hallen 1989). They consist of three inter-related components: actors, resources and activities (Shanna 1993). The actors refer to the firms who own and control resources and carry out activities. They occupy 26 posifiominthenetworksndthefinksbetweartheseposifionsrefleabondingand nonbonding relationships (Easton and Araujo 1989). Hellgren, Melin and Pettersson (1993) clearly articulate how positions of firms with respect to each other are viewed fiom a relational perspective: “From a relational perspective, the strategic position of an industrial firm is given a difi‘erent meaning compared to its factual view. Here position is “a matter of the exchange relationships of the actor and the identities of the counterparts” in those relationships (Johanson and Mattson 1988), where the identities of the counterparts in turn are partly shaped by their relationships to others (Emery and Trist 1965)” (p.92). The central concepts in the network approach are power, influence, interdependence and trust (Thorelli 1988). Power is seen as the potential to influence others whereas influence reflects actual use of power. Trust, on the other hand is based on reputation and past performance. Moreover, trust among network members is required for network stability (Thorelli 1990). Networks represent an alternative to both vertical integration and diversification. In this perspective they lay between the extremes of Williamson's (1975) markets and hierarchies (Thorelli 1986). The Interaction Approach adopted by the IMP Group sees industrial marketing and purchasing as an interaction process between two parties (Li and Cavusgil 1991). Hence, the importance of the relationship existing between buyers and sellers and the long-term aspects of that relationship are emphasized. In fact, Hakansson and Johansson (1993) define business relationships as " exchange relationships between autonomous business units" (p.14). Tomroos and Moller (1993) suggest that the interaction in buyer- seller relationships takes place through the processes of exchange of resources, social 27 exchange, adaptation and control. As a consequence of interaction industrial networks emerge and firms exchange tangible or intangible resources through the interaction (Hakansson and Johansson 1988). In other words, networks facilitate resource exchange. Each network actor is expected to carry out specific activities and through these activities complementary relationships develop (Shanna 1993).Exchange can be identified as product/service exchange, information exchange, financial exchange or social exchange (Hakansson 1990).Mutuality is of particular importance in relationship development as interaction increases and in non zero-sum type situations (Hakansson and Johansson 1993). In this regard, development of mutual trust is essential for the development and stability of the relationship. Relations between the organizations are built gradually in a social exchange process through which mutual trust may be developed (Blau 1964). In addition to trust, the atmosphere of the relationship can be described in terms of power- dependence relationship between the organizations, cooperation, closeness and mutual expectation. Shanna (1993) suggests that marketing of power relationships in a network is critical. In this regard, tnrst and commitment are two important factors to achieve coordination. 2.4.2 Relationship Marketing As it can be seen above, the network approach focuses on relational exchange and the interactive relationship between buyers and sellers. A similar focus can be traced in the marketing literature leading to the concept of relationship marketing which we will explore next. political . aching: Oh 198' thtscdl inert. pm‘rc mem't Nadir John 1 Ward. 28 Exchange has been the central notion in various frameworks suggested in the marketing literature on buyer-seller relationships. These fi'ameworks draw attention to the relationship aspects and social processes involved in buyer-seller behaviour such as the political economies fi'amework (Amdt 1983; Stern and Reve 1980), interorganizational exchange framework (Frazier 1983), relational exchange framework (Dwyer, Schurr and Oh 1987) and HT exchange fiamework (Frazier, Spekrnan and O'Neal 1988). Despite these developments, Heide and John (1990) argue that there is no theoretical fiamework that gives a detailed explanation of these relationships. There have also been a number of empirical studies reported in the marketing literature investigating various aspects of buyer-seller relationships. These have been particularly prevalent in the channels literature where relationships between channel members have been studied. Other studies have focused on relationships outside the traditional manufacturer, dealer/retailer context of channels of distribution. These include, among others, studies on alliances in industrial purchasing (Heide and John 1990), relationship quality in services selling (Crosby, Evans and Cowles 1990), interactions across functional units (Ruekert and Walker 1987), adaptations in business relationships (Hallen, Johanson and Seyed-Mohammed 1991), industrial buyer-vendor relationships (Noordewier, John and Nevin 1990), role of norms in marketing relationships (Heide and John 1992), co-rnarketing alliances (Bucklin and Sengupta 1993), trust in marketing research relationships (Moorman, Zaltrnan and Deshpande 1992; Moorman, Deshpande and Zaltrnan 1993), conflict resolution processes in fianchiser-fianchisee relationships (Dam and Schul 1992) and tire trader-retrader relationship (Morgan and Hunt 1994). md relahl achnge nature ar on the < idem relazior Hence (Mam these excha Welsh inIcrd Critica norm Tfi’an‘on “Mg- and the the com; 29 To be able to understand relationship marketing, the distinction between discrete and relational «change needs to be recognized (Dwyer, Schurr and Oh 1987). Discrete «changereferstomarket «changesthattakeplaceat onepointintime. It isunilateral in nature and identity of the parties to the «change are not important. Relational «change, on the other hand, involves bilateral interaction and has a long-term orientation. The identity of the parties are important and the relation is seen as an ongoing one. The important point to consider in making the distinction between discrete and relational «change is that «change is multidimensional (Dwyer, Schurr and Oh 1987). Hence, discrete and relational «change differ from each other on a number of dimensions (Macneil 1980). Some of the situational differences were pointed out above. In addition to these, there are important process differences between relational «change and discrete «change. The former emphasizes joint efl‘orts, mutual gains, cooperation, trust, self- regulation, conflict resolution processes, sharing of costs and burdens, and interdependence between the «change partners. Moreover, mutual commitment becomes critical (Frazier, Spekrnan and O'Neal 1988). Relational «change also points out noneconomic satisfactions derived from the exchange (Dwyer, Schurr and Oh 1987). There are a number of benefits to relational exchange or forming an exchange relationship. Some of these include reduced uncertainty, improved efliciency through synergy created, joint payoffs and satisfaction from association with the exchange partner and the relationship. The point is that all of these combined or separately helps to increase the competitive advantage of the firm against rivalry (Porter 1980). However, such «change relationships are not without their costs. One such cost is the maintenance of the relationship. This may require development of trust, committing A /—__ rsourccs irtrknh silks conflict costofrr com com: (15:10 anothe aspects “When Wm: 15 My 0 mllabor. 30 resources and adaptations. It is important to stress that in relationship marketing «change is taken to be voluntary. Hence, coercive use of unjust power to maintain a relationship will be counterproductive for the relationship. Secondly, there are costs associated with conflict processes and conflict management. Finally, there may always be the opportunity cost of missing a more attractive opportunity (Dwyer, Schurr and Oh 1987). There are also important factors that facilitate the «change relationship. First of all, motivational investment of the «change partners must be high for the «change to be bilateral which is central to relational «change. That is partners must «pect to derive high net benefits fiom the relationship (D02 1988). Moreover, factors such as commitment, trust, interdependence, power, norms and expectations and cooperation come into play. These factors have important roles in the «change relationship development. In addition to these, partner fit or complementarity is also pointed out as another factor critical in relationship development and maintenance. Relationship marketing with its focus on relational «change and relationship aspects of interorganizational arrangements fits well into a lot of topics related to marketing. One such «ample can be given from the international context which is international collaborative ventures. 2.5 COLLABORATIVE VENTURE AS AN EXCHANGE PROCESS It has been suggested that exchange can be used as a unifying construct for the study of international business (T oyne 1989). Moreover, it has been recognized that collaborative ventures among firms are based on an exchange relationship (Mowery 1988). Kogut (1988 a,b) points out that joint venture is a vehicle to exchange organizational [— bowled: homo cohahora 'rcccss 1 panes of inter ‘r’rpra‘r other 2 Porter AWN TCSOU rciam excha Johan 31 knowledge. A better understanding of «change relationships is possible within the framework of collaborative ventures. Hamel (1991) argues that success of a competitive collaboration is determined by a process of collaborative «change. Through this process "access to people, facilities, documents, and other forms of knowledge is traded between partners" (Hamel 1991, p. 100). In other words, collaborative ventures represent a form of interorganizational interaction involving an exchange relationship (Evirgen and Yaprak 1992). Collaborative ventures are used to exchange technology, products, services, and other forms of knowledge (Contractor and Lorange 1988; Harrigan 1987; Hennart 1988; Porter and Fuller 1986; Osborn and Baughn 1990). Moreover, in their Interaction Approach, Hakansson and Johansson (1988) note that through interaction firms «change resources, products and services. This interaction takes place through a social «change relationship. Moreover, in this interaction ”relationships are built gradually in a social «change process through which the parties may come to trust each other (Hakansson and Johansson 1988, p.373). What is «changed, however, difl‘ers depending on the context of the collaborative venture. Some collaborative ventures involve pooling technologies of the partners in a single product or product line. Some others involve combining one partner's upstream capabilities, such as technological abilities with another's downstream capabilities, such as marketing or distribution know-how. The contributions of the partners may be providing market access, technological and/or managerial know-how, capital, R&D capabilities, or sharing risk For «ample, an analysis of collaborative ventures between US and foreign 32 firms reveals that in a majority of cases collaboration is motivated by market access which is «changed for technology (Mowery 1988). 2.5.1 Exchange Principles in Collaborative Ventures The «change principles pointed out in the social «change theory can be observed in collaborative ventures. As briefly described above, the notion of reward (expected or received) is central in social «change theory. Partners enter a collaborative venture because they «pect some net benefits fi'om the relationship as in social «change (Blau 1964). In the context of collaborative ventures, these benefits correspond to difl‘erent motives behind the formation of the collaborative ventures which were discussed before. A collaborative venture will be preferred to internal development, arm's length transactions or merger when it provides benefits that can not be obtained otherwise (Porter and Fuller 1986; Van de Ven 1976). Hence, just as in social «change, partners in a collaborative venture are motivated by the benefits that the venture is expected to bring . The steps in the social exchange process can be traced in the formation of any collaborative venture. For illustration, consider a collaborative venture where market access is «changed for technological know-how. First, one firm desires to have access to a foreign market which it values, but does not have. Market access is a resource in the social «change fiarnework since it will provide benefit to the firm by enabling entry to the market (Emerson 1981). It is also very valuable if there are high entry barriers to the market. Then, another firm is identified as possessing that resource after which the firm desiring to have it offers the other firm to provide technological know-how in exchange for market access. Finally, a vertical collaborative venture is formed if the other firm 33 accepts the ofi‘er. Another «ample might be a joint R&D venture which is a horizontal collaborative venture. In that case, the resource of value would be complementary R&D capabilities and knowledge. The partners to the venture will «change their complementary resources to obtain benefits such as shared risk economies of scale and/or leaming, synergy in product/process development/enhancement (Porter and Fuller 1986). If neither firm has enough R&D and technical resources to go alone, they can «change their complementary resources through a collaborative venture. Hence, there appears to be an isomorphism between the social «change process and collaborative ventures. As noted before, exchange of resources of value to the partners is the main characteristic of collaborative ventures. Furthermore, based on the above discussion, collaborative ventures can be proposed to have the following characteristics: 1. In collaborative ventures, cooperation takes the form of «change. 2. Partners in a collaborative venture exchange resources that are perceived by each partner to be valuable and to bring benefits or "rewards”. 3. Collaborative ventures involve an exchange process in the relationships between partners whereby principles of exchange govern. 4. Collaborative venture may befrs influenced by behavioral and perceptual considerations. 34 2.6 THEORETICAL MODEL OF INTERNATIONAL COLLABORATIVE VENTURE PERFORMANCE The proposed theoretical model represents an interdisciplinary approach (Dunning 1988) to studying collaborative ventures using constructs and notions fi'om social «change, sociology, interorganizational behaviour, strategy and marketing literatures. The proposed theoretical model for the study of relationships in international collaborative ventures is presented in Figure 4. The key constructs used to «plain finer-national collaborative venture performance are structural fit, strategic fit, partner fit, value of resource, mutual commitment, mutual trust, interdependence, twocway communications and balanced power. As noted, the dependent variable is international collaborative venture performance which is modeled as being multidimensional. 2.6.1 Partner Fit The marriage analogy has been used in characterizing collaborative ventures (Levitt 1983; Stoltrnan, Gentry and Morgan 1993; Business International, Jan 23, 1989). As in a marriage, selection of the right partner appears to be a critical factor for the ”marriage“ to work. Similarly, selection of a partner in a collaborative venture is one of the most critical decisions faced by a company (Geringer 1991). Prior research has suggested that partner choice is an important decision affecting international collaborative venture performance (Hanigan 1985). Of particular importance is the amount of "fit” between the partners. Since the partners in an international collaborative venture enter a working relationship, fit between their goals, phiIOSOphies, strategies and structures will have an important efi‘ect on the performance outcomes of the partnership. ~§~ N-\-—\.v\-.-\Ud. ( 35 moz<2mo§ma $5ng ”$523548 €205.sz m2 ammo: ammoaofi an 9.3..— s38 3053 W J \ é Eon—among. ‘\:\ Brown; - «835 .0 mi N _ K m _I couoameem «5:0 .v Essa .o seesaw a mmoeo>zoofim d 823922 ago a F \ 36 Based on their analysis of 49 cross-border alliances, Bleeke and Ernst (l991)point out that complementary skills and capabilities of the partners are important for the alliance success. Lasserre (1984) suggests that in evaluating a local partner for technology transfer, strategic fit and resource fit are the two important criteria to use. In their study of co-marketing alliances, Bucklin and Sengupta (1993) view partner match as similarity between marketing styles and company cultures of the partners. Their results show that partner match has a direct efl‘ect on the perceived effectiveness of the alliance. Specifically, they have found that organizational compatibility and prior history of business relationship with the partner are two strong predictors of alliance effectiveness. In the proposed model, partner fit is modeled as being driven by structural fit and strategic fit among the partners. The former refers to organizational compatibilities whereas the latter points to the match between goals and objectives and strategic resources. 2.6.2 Structural Fit The compatibility of operational and financial procedures of the partners appear to be facilitating factors for the smooth operation of activities in a collaborative venture. The relationships or afliliations of the partners with third parties may also help or adversely afl‘ect the development of the partnership. Moreover, compatibility of the organizational cultures of the partners is suggested as an important requirement that enhances partner fit. In her analysis of joint ventures, Harrigan (1985) has found a positive relation between cultural homogeneity of the partners and the success of the joint venture. This is reflected in the values and social norms prevalent in the organizations. 37 Compatibility of the technical capabilities of the partners is a firrther factor enhancing the fit between them. Badaracco (1991) has observed that match ofvalues and capabilities are necessary for the partners to be "fit" for each other. Moreover, compatible marketing philosophies of the partners will facilitate conflict reduction and provide a better match between the operations and organizational processes of the partners. These factors tend to reflect the operational structures, philosophies and capabilities of the partners which need to be compatible for the fit between them to increase. Hence, overall organizational compatibility is a necessary, but not aficient, condition for partner fit (Porter and Fuller 1986). 2.6.3 Strategic Fit A second important dimension of partner fit is strategic fit. We define this in terms of the extent that the goals and objective of the partners are compatible, resources are complementary and there is consensus on the domain of the partnership. Goal compatibility has been stressed as one of the crucial aspects of a healthy partnership (Radclifl‘e and Cowles 1993). The partners may have difi‘erent strategic goals in entering the venture, but, they need to be compatible with each other so that each partner can reach its objectives without endangering the other's (Root 1988). Hamel, D02 and Prahalad (1989) note that in a collaboration mutual gain is possible if partners’ strategic goals converge while their competitive goals diverge. Incompatible goals or objectives in a partnership, indicate a misfit between the partners which will negatively afl‘ect relationship development and performance of the collaborative venture. 38 Geringer (1991) suggests that complementarity is essential for the efi‘ectiveness of an international joint venture. The main motive behind collaborative ventures is the «pectation to obtain benefits that the partners can't obtain themselves. Hence, complementarity is a critical factor in assessing partner fit (Sengupta 1993). Jain (1987) points out that two of the factors leading to success are the complementarity of the needs and strengths of the partners. Similarly, Contractor and Lorange (1988) points out that partner fit increases when the partners have complementary strengths and compatible strategies. By bringing together resources that are complementary to each other, firms can enhance the competitiveness of an alliance (Harrigan 1985). Porter and Fuller (1986) further argue that complementary contributions of the partners will enhance collaborative venture stability. The alliance provides a governance strategy through which each firm can «change valuable resources with each other. Moreover, Seabright, Levinthal and Fichman (1992)have found support for the hypothesis that "change in resource fit provides an impetus for dissolution " (p.152). Similarly, domain consensus is an important factor in development of interorganizational relationships (Van de Ven and Feny 1980). The domain of the collaborative venture will consist of the specific goals it wishes to pursue and the functions it undertakes to implement them (Levine and White 1961). Consensus regarding the domain of the collaborative venture is essential to shape the «pectations of the partners. Domain consensus is essential for an exchange agreement to be reached and implemented (Levine and White 1961). Moreover, Frazier, Spekrnan and O'Neal (1988) point out that the partners must have realistic «pectations for the «change relationship to be successfirl. 2.6 so.- par la: 39 2.6.4 Value of Resource Getting access to resources that it does not have appears to be a major motive for a firm to enter into a partnership or collaboration with other firms. The value ofthe resource to be obtained through the partnership is determined by the need for and scarcity of that resource (Emerson 1981). On the other hand, Seabright, Levinthal and Fichman (1992) suggest that value of a resource might decrease if resource requirements change. Thefirminneedofaresourcecanobtainitfromanotherfirrnpossessingitthroughthe «change relationship that can formed in a collaborative venture (Hamel 1991). In their review of empirical studies on joint ventures, Bearnish and Banks (1987) note that in successful joint ventures, both partners significantly value each other's contributions. In fact, the success of a collaboration very much depends on the unique contributions of the partners (Hamel, D02 and Prahalad 1989). Furthermore, when the value of the resource to be obtained through the collaborative «change is high, the party in need of that resource will tend to be more committed to the venture. If the resources to be «changed through the collaboration are valuable for both partners, both will be more committed to the partnership. In other words, mutual commitment of the collaboration partners will increase when they perceive the value of the resource(s) they will be obtaining through the partnership to be high. 2.6.5 Commitment Commitment of the firms in a collaborative venture has been noted as a critical factor for venture success. In their model of development of buyer-seller relationships, Dwyer, Schurr and Oh (1989) suggest that commitment is the most advanced phase of 40 buyer-seller interdependence. Anderson and Weitz (1992) suggest that "commitment to a relationship entails a desire to develop a stable relationship, a willingness to make short- term sacrifices to maintain the relationship, and a confidence in the stability of the relationship“ (p.19). Moorman, Zaltrnan and Deshpande (1992) further suggest that commitment reflects a positive valuation of a relationship. Commitment helps to reduce opportunism (Williamson 1975) that would increase the cost associated with the partnership (Lewis 1990). Subieta (1991) has found that commitment impacts joint venture efl'ectiveness positively. The efl‘ect of commitment on performance of collaborative ventures have been suggested in many conceptual and empirical studies reported in the literature (e.g. Bearnish and Banks 1987; Jain 1987; Badaracco 1991; Sheth and Parvatiyar 1992; Ohmae 1989). Moreover, Jain (1987) suggests that mutual commitment in international strategic alliances will extend the duration of the alliance. Furthermore, Ohmae (1989) notes that for good partnerships to develop, effort and commitment are required fi'om both partners. 2.6.6 Trust The importance of trust in interpersonal relations that involve reciprocal «change have long been recognized (Corazzini 1977; Aguilar 1984; Larzelere and Huston 1980). The role and importance of trust in cooperative relationships have also been clearly recognized in the marketing literature (Ring and Van de Ven 1992; Sullivan, et.al. 1981; Moorman, Zaltrnan and Deshpande 1992; Dwyer, Schurr and Oh 1987; Frazier, Spekrnan and O'Neal 1988; Dant and Schul 1992; Anderson and Narus 1990; Buckley and Casson 41 1988). In fact, Sheth and Parvatiyar (1992) view trust as one of the main constructs in alliance formation Moorman, Zaltrnan and Deshpande (1992) define trust as "a willingness to rely on an «change partner in whom one has confidence” (p.315). They argue that this definition encompasses the two approaches taken in the literature, which are viewing trust as a belief or «pectancy about an «change partner’s trustworthiness (Rotter 1967; Blau 1964; Anderson and Weitz 1992) or viewing it as a behavioural intention or behaviour reflecting reliance on a partner (Coleman 1990; Deutsch 1962; land 1972). Moorman, Zaltrnan and Deshpande (1992) firrther note that trust has been treated to have two difi‘erent roles in relationships. Some researchers have viewed it as an aspect of relationship quality (Crosby, Evans and Cowles 1990) while others have viewed it as a determinant of relation quality (e. g. Anderson and Narus 1990). Ring and Van de Ven (1992) point out that partners in a collaborative venture need to be concerned about the trustworthiness of each other since they will need to work cooperatively for the venture to succeed. They argue that as the parties trust each other more, they may rely more on each others actions. Trust is an essential factor for a partnership to work. Lewis (1990) states that ”since you can‘t monitor every aspect of an alliance, you want to rely on each other to do things in a way that considers your mutual interests"(p.247). Furthermore, Bearnish and Banks (1987) note that with a foundation of trust, the partners would be more willing to be tolerant and persevering so that the joint venture can survive through difficult times. The importance of trust in alliances or cooperative ventures have been consistently pointed out in the literature (Bleeke and Ernst 1991; Lorange 1989; Spekrnan 1988; Bowersox 42 1990;Ly1es 1987; Wallace 1993; Buckley and Casson 1988; Ohmae 1989; Sullivan et. a1. 1981). Various relations of the construct of trust with other key factors in alliance performance have also been investigated in the literature. D02 (1988) suggests that as nustwonluneuofeachpumamaeasesmumdcoWwfllgraduaflyincrease. the positive efl‘ect of trust on commitment is also suggested by Dwyer, Schurr and Oh (1987). In fact, trust has been found to have a direct positive effect on commitment to a relationship (Moonnan, Zaltrnan and Deshpande 1992). In their study of manufacturer- distributor working partnerships, Anderson and Narus (1990) have found support for the view that communications is an antecedent for trust. They have also found a significant path fiom trust to satisfaction. In their conceptualization of strategic alliances, Spekrnan and Sawhney (1990) also note the positive efl‘ect of trust on alliance performance. Frazier, Spekrnan and O'Neal (1988) also argue that trust between the parties to a JIT «change relationship is one of the factors leading to success. Badaracco (1991) also sees trust as a necessary factor in what he calls "knowledgedriven' alliances. This effect has been empirically supported by Wallace's (1993) study of American and Japanese joint ventures. Moreover, Subieta (1991) has found empirical support for the hypothesis that trust leads to efi‘ective formation of international cooperative arrangements and satisfaction with the arrangement. In his study of international project selling, Hadjikhani (1993) refers to Hedaa's (1991) work who has found that increased trust results in increased interdependencies. This is in line with Dwyer, Schurr and Oh's (1987) model of buyer-seller relationship development who also posit a positive relationship between trust and interdependence. 43 In their theory of cooperation, Buckley and Casson (1988) suggest that mutual nustisgeneratedthroughmumalfomeamcebythepannerswhichincreasesthe emciency of cooperation It is important that trust needs to be mutual, i.e. it must flow in two directions. Moorman, Zaltrnan and Deshpande (1992) note that unless trust is bilateral, it is likely to disappear. In fact, when mutual trust degenerates, the collaborative venture may fail (Lorange 1989). 2.6.7 Interdependence Schermerhorn (1975) has pointed out that organizational interdependency is the lowest common denominator for the notion of interorganizational cooperation. Parvatiyar (1993) has argued that interdependence is the main construct to focus on in studies on alliances. Moreover, in their conceptualization of strategic alliances, Spekrnan and Sawhney (1990), identify interdependence as one of the core dimensions of a strategic alliance. Kanter (1988) has also identified interdependence as one of the six ”P's of successfirl partnerships. Contractor and Lorange (1988), hypothesize that the level of interorganizational dependence will be difl'erent across difl'erent types of cooperative arrangements being highest for equity joint ventures. Moreover, higher switching costs will reflect higher levels of interdependence (Anderson and Narus 1991). Holding a similar view, Astley and Fombrun (1983) have suggested a classification of organizational collectives using the form of interdependence as one of the two dimensions. Interdependence arises due to mutual dependencies that exist among alliance partners. Given that there are mutual dependencies, there is also mutual interest in 44 c00perating (Anderson and Narus 1991). Since performance of the collaborative venture depends on the mutual contributions by the partners, their interdependence provides an incentive to have a productive «change relationship (Emerson 1981). On the other hand, increaseindependencehasbeenpointedoutasoneofthecostsassociatedwithentering an alliances (Spekrnan and Sawhney 1990). The functional aspects of interdependence have been noted in the literature which is the view adopted in our proposed model. For instance, Lewis (1990) states that ”for both firms to gain, the mutual dependence created by a strategic alliance should increase each firm‘s independence ..... alliances can support the growth of separate competitive strengths and create net growth opportunities" (p.50). Lorange (1989) firrther argues that especially in less formal, temporary cooperative ventures, partners must be willing to become interdependent in order to achieve a minimum degree of stability. Firms enter into collaborative ventures because they want to have access to the resources that their partner(s) can bring in. In other words, each partner needs the resources of the other. Due to these reciprocal needs, partners will be less likely to resort to opportunism and stab the other in the back. Since power is derived fiom dependence, interdependence of partners will lead to a balance of power in the relationship. It is important to note that this argument is valid for interdependence which implies mutual dependencies. If there are differences in the relative dependencies of the partners, the power balance will be lost since the less dependent party will have more power (Cook 1977, Emerson 1962). Mutual partner nwds, reflecting interdependence, have been found to have a positive afl‘ect on joint venture performance (Beamish 1987). This is reflected in 45 Emerson's (1981) notion of productive dependence. Contractor and Lorange (1988) have noted that the viability of a cooperative venture will increase as interdependence among partners increases. In the relational «change framework suggested by Dwyer, Schurr and Oh (1987), interdependence is viewed as a driver of commitment. Similarly, Hallen, Johanson and Seyed-MOhammed (1991) have provided empirical evidence that dependence increases the extent of adaptation which they argue is an indicator of commitment. Moreover, Van de Ven and Walker (1984) have found that resource dependence has a great efl‘ect on stimulating interorganizational communications. 2.6.8 Communication Two-way communication is an important factor for a healthy relationship to develop. It plays an important role in realizing mutual benefits in cooperative relationships by allowing «change of necessary information and reducing misunderstanding (Dwyer, Schurr and Oh 1987; Frazier, Spekrnan and O'Neal 1988; Anderson and Narus 1990). Kanter (1988) argues that one of the six "I”s characteristic of successfirl strategic partnerships is being ”Informed" about the plans and direction of the other partners. Crosby, Evans and Cowles (1990) note that mutual disclosure is a factor enhancing relationship quality. Heide and John (1992) have found that norm of information «change has a significant efl‘ect in the relationships between OEM manufacturers and their component suppliers. Two-way communications will demonstrate the willingness of each party to share information and «change views with their partners. Such an approach is very likely to be valued positively by the partners which will increase their tnrst in the other party and their 46 commitment to the relationship. In fact, open communication among partners is one of the factors leading to success of alliances and development of good relations (Badaracco 1991; Lewis 1990). It has also been suggested that such open and honest communication will result in increased commitment of the partners (Spekrnan 1988) which has been empirically shown by Anderson and Weitz (1992). Open communication will help to improve collaborative venture performance by allowing «change of relevant information that might impact the operations related to the venture. It is important for the collaborative venture partners to realize that they are in the same boat. Ifthe boat sinks, both will lose. Art Hitsman, president of Boeing Computer Services, has stated that "any alliance must have a clear purpose and salient mutual benefits. The guiding principle here is that you win only if the joint project succeeds" (Peters and Peters 1992). Hence, it is critical to share any information to keep the boat sailing. Lyles (1987) notes that poor judgments are one of the causes for mistakes in joint ventures. Open communication may help to make better judgments. Two-way communication will also help to reduce misjudgrnent of expectations of the partners (Frazier, Spekrnan and O'Neal 1988). 2.6.9 Balanced Power The notion of power has been central in «change relationships (Emerson 1962; Cook 1977; Gaski and Nevin 1985). Jain (1987) has suggested that shared power is one of the characteristics of successfirl strategic alliances. Frazier, Spekrnan and O'Neal (1988) have further argued that balance of power is necessary for the viability of HT «change 47 relationships. Furthermore, in their study of co-marketing alliances, Bucklin and Sengupta (1993) have found that balanced power enhances perceived efl‘ectiveness of alliance. Any imbalance of power will create an environment prone to opportunism. The more powerful party may «ploit the less powerful one which will result in unbalanced contributions made and/or benefits obtained. Since balanced contributions and mutual benefits are essential in an «change relationship, imbalance of power will negatively afi‘ect the collaborative venture relationship and its outcome (Jain 1987). 2.6.10 Performance The multidimensional nature of collaborative venture performance has been emphasized in the literature (Salk 1993). Geringer (1991) suggests to use several difi‘erent performance measures in studying international joint ventures. Geringer and Hebert (1989) state that "no consensus on the appropriate definition of international joint venture performance has yet emerged” (p.245). Some of the objective measures have been financial indicators (e.g. Tomlinson 1970), survival (e.g. Killing 1983), duration (e.g. Kogut 1988b), and instability in ownership structure (e. g. Gomes-Casseres 1987). On the other hand, there might have been various strategic motives and objectives in entering a collaborative venture whose achievement is not necessarily reflected in objective measures (Geringer and Hebert 1989). Hence, perceptual measures may capture how the collaborative venture has performed better than objective measures. Perceptual measures can provide information on whether the collaborative venture has reached its objectives or not. 48 Perceived efi‘ectiveness has been widely used as the measure for collaborative venture performance (Bucklin and Sengupta 1993). Van de Ven (1976) views it as the extenttowhichthepartnersperceivethateachpartyhascanied outitscommitrnentsand that the relationship has been worthwhile, equitable, productive and satisfying. On the other hand, since the collaborative venture can be viewed as an «change relationship, it can be considered to have been efl‘ective only if mutual benefits have been obtained (Emerson 1981). According to Lorange (1989), success of a collaborative venture can be measured fi'om each partner's perspective ”since what is successfirl for one partner is not necessarily successful for another“ (p.217). Since international strategic alliance provides the opportunity for interpartner learning, the extent of learning that has taken place appears to be another indicator of performance (Hamel 1991). The dimensions of performance considered in the proposed theoretical model are perceived efl‘ectiveness, perceived emciency, durability/stability, client satisfaction, and managerial assessment of success. These include both subjective, objective as well as collective, and individualistic dimensions of performance. 2.7 RESEARCH HYPOTHESES A number of research hypotheses are derived in the proposed model of collaborative venture performance. The model associated overall collaborative venture performance and its five dimensions and relationship constructs. The underlying premise behind the model is that a collaborative venture represents a form of interorganizational interaction involving an exchange relationship. The specific research hypotheses are listed below. 49 W H1 hrcreaseinutesnucnndfitbetweencoflabomfivevennueparmwwiflincrease theoverallfitbetweenthern. W H2 Increaseinthestrategicfitbetween collaborative venture partnerswillincreasethe overallfitbetweenthem. W H3 Whenbothpartnersplaceahighvalueontheresourcetheyobtainthroughthe collaborative venture, mutual commitment of the partners to the collaborative venture will increase. mart H4a The higher the partner fit in a collaborative venture, the higher will be the perceived efl‘ectiveness of the collaborative venture. H4b The higher the partner fit in a collaborative venture, the higher will be the perceived eficiency of the collaborative venture. H4c The higher the partner fit in a collaborative venture, the higher will be the stability of the collaborative venture. H4d The higher the partner fit in a collaborative venture, the higher will be the satisfaction of the client with the performance of the collaborative venture. H4e The higher the partner fit in a collaborative venture, the higher will be the managerial assessment of the success of the collaborative venture. H4f The higher the partner fit in a collaborative venture, the higher will be the overall performance of the collaborative venture. firm-mm H5a H51) H5d H5f In e H6a H6b H6c H6d Thehigltaflrenmtualcomnuunerninacoflabomfivevennuethehigherwiflbe the perceived effectiveness of the collaborative venture. Thehigherthermrtualcommitmentinacollaborativeventure, thehigherwillbe the perceived eficiency of the collaborative venture. The higher the mutual commitment in a collaborative venture, the higher will be the stability of the collaborative venture. Thehigherthemutual commitrnentinacollaborativeventure,thehigherwillbe the satisfaction of the client with the performance of the collaborative venture. The higher the mutual commitment in a collaborative venture, the higher will be the managerial assessment of the success of the collaborative venture. The higher the mutual commitment in a collaborative venture, the higher will be the overall performance of the collaborative venture. n The higher the interdependence of the partners in a collaborative venture, the higher will be the perceived efl‘ectiveness of the collaborative venture. The higher the interdependence of the partners in a collaborative venture, the higher will be the perceived efficiency of the collaborative venture. The higher the interdependence of the partners in a collaborative venture, the higher will be the stability of the collaborative venture. The higher the interdependence of the partners in a collaborative venture, the higher will be the satisfaction of the client with the performance of the collaborative venture. H6c H6f H8 H9a H9b H9c H9d H9c 51 The higher the interdependence of the partners in a collaborative venture, the higher will be the managerial assessment of the success of the collaborative venture. The higher the interdependence ofthe partners in a collaborative venture, the higher will be the overall performance of the collaborative venture. The higher the interdependence of the partners in a collaborative venture, the higher will be the balance of power in the collaborative venture. The higher the interdependence of the partners in a collaborative venture, the higher will be the mutual commitment ofthe partners to the collaborative venture. The higher the mutual trust among the partners in a collaborative venture, the higher will be the perceived effectiveness of the collaborative venture. The higher the mutual trust among the partners in a collaborative venture, the higher will be the perceived eficiency of the collaborative venture. The higher the mutual trust among the partners in a collaborative venture, the higher will be the stability of the collaborative venture. The higher the mutual trust among the partners in a collaborative venture, the higher will be the satisfaction of the client with the performance of the collaborative venture. The higher the mutual trust among the partners in a collaborative venture, the higher will be the managerial assessment of the success of the collaborative venture. H9f H10 52 The higher the mutual trust among the partners in a collaborative venture, the higher will be the overall performance of the collaborative venture. The higher the mutual trust among the partners in a collaborative venture, the higher will be the mutual commitment of the partners to the collaborative venture. W H1 la H1 lb H1 1c H1 1d Hlle H1 If The higher the level of two-way communications among the partners in a collaborative venture, the higher will be the perceived efl‘ectiveness of the collaborative venture. The higher the level of two-way communications among the partners in a collaborative venture, the higher will be the perceived eficiency of the collaborative venture. The higher the level of two-way communications among the partners in a collaborative venture, the higher will be the stability of the collaborative venture. The higher the level of two-way communications among the partners in a collaborative venture, the higher will be the satisfaction of the client with the performance of the collaborative venture. The higher the level of two-way communications among the partners in a collaborative venture, the higher will be the managerial assessment of the success of the collaborative venture. The higher the level of two-way communications among the partners in a collaborative venture, the higher will be the overall performance of the collaborative venture. 53 H12 The higher the level of two-way communications among the partners in a collaborativeventure, thehigherwillbethemutual commitment ofthe partnersto the collaborative venture. H13 The higher the level of two-way communications among the partners in a collaborative venture, the higher will be the mutual trust among them. W H14a The higher the balance of power among the partners in a collaborative venture, the higher will be the perceived efl‘ectiveness of the collaborative venture. H14b The higher the balance of power among the partners in a collaborative venture, the higher will be the perceived efliciency of the collaborative venture. H14c The higher the balance of power among the partners in a collaborative venture, the higher will be the stability of the collaborative venture. H14d The higher the balance of power among the partners in a collaborative venture, the higher will be the satisfaction of the client with the performance of the collaborative venture. H14c The higher the balance of power among the partners in a collaborative venture, the higher will be the managerial assessment of the success of the collaborative venture. . H14f The higher the balance of power among the partners in a collaborative venture, the higher will be the overall performance of the collaborative venture. CHAPTER THREE asseancnnrrsrcn TInsuIdyiswnduaedfoflowhrganuflfi-plmereswchdedgnTInphasesinflle Mmi(l)mm0fmmdmwflwmwmnm(2)mb depflrhnaviemwnduaedwhhmvesfiomflwwnsmwfionmmsuxmd(3)unphiml tesfingofflnhypmesproposedmfliecoflaborafiwvmmpafomm.Nad,fltese phasesintheresearcharedescribed. 3.1 PHASE 1: ANALYSIS OF SECONDARY DATA Influsphaseofflnreseardramacroperspecfivehasbemtakarwithathomugh MynsofsecmfluydaaTlesedaammkmfiomErrgimefingNmsRecadfihflbwhich isaweeklypublicationThistradejoumalspecializesintheconstructionindustryandisa wmprdmivepubhcafimpmvidingmgmumfonnafiononflwmdtmmddnfirmmdw indusuy.EachyearENRconduasvadousmweysoffinmmflwwnschfionhrduszmd publishestheirresults.Oftheseammalsurveys,twohavebeen selected asbeingrelevantfor thepurposeofthissnrdy.Thesearethetop225irrtemationalcontractorssurveyandthetop 400UScontractorssuryey. ‘I'hefonnatofthepublisheddataforthesetwosurveysaresimilar.Foreachfinnthatis hrdudedmflnhgnsmnkmflNyear’smeyfistingnamestatemcomuy,mtdbiflmgsof newconfiaasawardedbflfingsofmwhnmfionalconuactapacmtageofmtalnew confiactsineachmnsfiucfionmrkamdnsmnkmdwpmviousyem’smeyfisfingan givenMoreover,forthetop225irrtanafionalconfiactorsthetotalawardsbythelisted 54 55 cowaaoraflwdisufiarfionofnewwmraasaaossdnmajorcomuucfimregiommflw woddmdflnshuesofconnaaomfiomdifl‘auunafiomfifiesinflwseregiomandflwmnba ofcontractorsfi’omdifl‘erentnationalitiesthatlnveentered thatyear’slistingaregivenOnthe ahahMthetmdbmmgsofdmnesficmrdhnanafionalmwwnuaasmgivmmflwmp 400UScmmaaomfisfinghishnponuummteflmteadryear’smeyrendtsreflectfln newcontractsinfonnationforthepreviousyear. Thesenrweyshavebearconduaedsincel978alflnughflrefonnatofflnreponed renrlts have improved over the years. However, the period of 1982-1993 is selected for analysisduewconsinawyofdatamporfinglnoflrawommedmdesaibedabowm availablefor1982throughl993. EachyearENRsendsoutaquestionnairetothecontractors mdflrosewhorespondwflwquesfiommimmpplymemfonmfionreponedeNmeeys. ENRdsomnlmsomemmespondingconflaaomaccordMgmovaseasconmawuds reported International Construction Week (ICM ENR’s weekly newsletter (Strassmann and Wells 1988). In this study, these data have been tabulated for the period 1982-1993 and midyzedflumghgraphsgaerued.Agraplficdmalysisisvayhdpfiflmfimdlyseemme trends and deviations in the international construction activities. ThesesecondarydataobtainedfiommumalsrweyrendtspubfishedbyEMiare supplemented by information retrieved fiom various other issues of ENR and other industry and government publications. Moreover, the insights obtained from the in-depth interviews conductedinfliesecondphaseofthestudyalsosupplememflregraphical analysisThe interpretationsofthegraphsanddrevanousuendsordeviafionshavebeendonehrcorporafing the information obtained from these supplementary sources. 56 OnfluofluhmditishnponmutonotevanoushnutafionsofflreENRmeydata Theseuedisarssedhrthenendnptamrdaflieheadmgofmeaanemanpmblans. Thereahsofflfisphaseofflwshrdywfllhdpusmdaflandflwsfiucmreofflwglobd constrmfimhdusuy.Wewfllbeabkmseeuuidsmflnhrduszaswdlastheovaan picture. 3.2 PHASE 2: IN-DEPTH INTERVIEWS Displuseofflwnudthhrdespasonalin-depthhnerviewswhhmdumarpats fiomhrdusfiyassodafiomandmfivesfiomflwconsfiucfionmdusuy.Amtaloftwdw (12)interviewswereconductedinthisphase. Afiasdwmrhngflwappohmnausufiflrflwhnafiewmflmtmgmalcomaom havebemvisitedpasonaflyfllnfomatofflrehna‘viewshasbemsam-struaumd andthe mtaviewshavebemgtndedbyanhnaviewguideflrathasbemprepamdmadvame. Following the interview, the interviewees have also been asked to comment on the relationshipsbetweenthe constructs in the model. Specifically, each has indicated the direction oftherelationshipsbetweentheconstructsthathavebeenlaidouttothernattheendofthe interview.Eachinterviewhaslastedaboutanhour. Such face-to-face interviews have provided valuable information and insights about the constructionindustryfiomthemtivesintheindustry. 3.3 PHASE 3: EMPIRICAL TESTING Thelastphaseofthestudyinvolvescollectingtheprimarydatatotesttheproposed hypotheses. Sincemeanrresofflrekeyconsuuctsarepacepmalinnamm,fltedatafortesfing 57 flrenroddprhnmflyconnfiomanuflmeyofkeymmfltesdectedsampleof wanaaom.1hekeyhrfonnmutedufique(8ddlal974)hasbemusedwcofleaflndata Campbell's (1955) criteria of being knowledgeable about the phenomenon under study and bdngableandudflmgwchaewimflnreseardrahasmnsfimmdflwmajoranaiafor infonnarusdecfionnfisphaseofflresmdywasahnedtogeneraterenfltsflrat willhelpusto answerourresearchquestionsandtestourhypotheses. 3.4 MEASUREMENT Building on previous empirical studies and scales developed, especially those by Anderson and Weitz (1992), Bucklin and Sengupta (1993), Crosby, Evans and Cowles (1990), Heide and John (1988, 1992), Kaufinann and Stern (1988), Larzelere and Hudson (1980), Moorman, Zaltrnan and Deshpande (1992), Ruekert and Walker (1987), Subieta (1991), Sullivan, etal. (1981), and Van de Ven and Ferry (1980), measures have been developed for each of the constructs of interest (See Table 3.1). Asnotedaboveaquesfionmhehasbeurusedasflremweyinsuumaninflresmdy. Initially, adetafledhsfingofscaleitansweregena’atedwhichwereflrenreducedtoproduce thefirstdraflofthequestionnaire. 'I'hisquestionnairewasthensenttotheintervieweesthat werecontactedinthesecondphaseofthestudyandaskedtocommartonit.The questionnaire was also reviewed by academicians highly experienced in questionnaire development. Based on the feedback received both fiorn the industry «ecutives/«perts and fluscadarfidmathewwyWhasbemmvisedmdfinafizequuesfiomnin contained the following sections for different types of data: 58 :3: as... e 98... ASE; 68200.2 8%: £38 a. as... .520 Ea: 8.36.858 0.80 302 8...: en". a. 8> 3 00> .68: .....> 8 55 .53: 3.03 e :39... .88: E38 d 230 .336 .58: 590.3 a. Sign ganged 8.0.2.8 as 8.2.. 2.. 5... 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Infonnafionabmnflwpafonmofflwcoflabomfivevm F. Infonmfionabmndlevadunaspectsoftherdafionslfipbetweenflnpms G. Open-aldedsectionforaddifiomlconmaus 111epohuallphasizedh1quufiommiredevdopmauhavcbemsimpfidty,b\n wmprdmvmslnmmpmfusonflmmmynfomardnas. 3.5 DATA COLLECTION IhemailhIgfistsforflxetomeSoormwOfimdflntopZZSituermfional wmaomfiaswasobtaimdfiomENRJhuemofistshawbemwnbhwdmgmteafist oftopcomctorswlfichhaswnsfiuneddwwnpleformestudy.mslistindudwaflofdle majorcontractorsintheworldaswellasthcmajoroontractorsintheUS.munitofamlysis hasbemindividualprojects involvingaoollabomtivevmture. Themspondamhavebealspedficaflymaedmreponononlyoneooflabomfive vwmflldrfinnhasbemhwohedinwhhhflnhsttmymwhhulustomfordgn pumalfmmflunommhvmmfiuflndsaipfiomdmeyhavebemaskedmreponon fliemostrecentomlfihowevendacy havcnothadanyforeignparmembminsteadhadom donuficpflmhwflwomvmdwyhawbemaskedwmononadm collaborative venture. 62 Amailhgpackagewasthenpreparedmdsaflorfltoaserfiororewfiveineach Wormflcnmple.Tlnpadmgehwhidedamleua,flwquesfiomaimandasdfi Musedreunnmvdopelbmrequeaeddnaddresseemfomuddwquesfiomaimfl neoessuy)wanarewfivewlnhadbemmdmrgeofawnsuucfionpmjeadmhadmoheda colhborafivevamnewithafordgnpmfinnwifldnfliehsttmyeamedeVm 1976). FordnwmwommdnUS,postagepaidmsimsreplyawdopeshavebemused. The respondaflshavealsobewpmnfisedmerewfivesnmnmyofflleremhsobtamedasm hmttivetoparticipateinthestudy. Five weeks after the initial mailing, a second mailing was done to those who had not responded to the first mailing. The mailing package was similar to the initial package, but a difl'erent cover letter was used. CHAPTER FOUR THE GLOBAL CONSTRUCTION INDUSTRY 4.1 INTRODUCTION Despite its importance and high profile, the global construction industry appears to be understudied by researchers. Strassmann and Wells (1988) point out that this neglect may be due to the large number of difi‘erent project types, numerous client types, the highly diversified market, and the various nationalities of the contractors. An additional point is also noted by the interviewed construction industry executives that, construction industry is very much closed and sharing of information is very limited in the US. Construction is one of the largest global industries. World construction exports was about $156 billion in 1993 (ENR, August 29 1994). The global construction market, on the other hand, is estimated to be about $3 trillion a year (U S Department of Commerce, International Trade Administration 1993). Moreover, the industry is unique in several aspects and demands a careful analysis. The uniqueness of the industry is due to a number of its characteristics. First of all, each “product” in this industry, which is a particular type of constructed structure and/or its maintenance and operation, is difi'erent. There are different designs and specifications used and different requirements met for each project. Secondly, the point of production changes for each product. In other words, there is no central site where production takes place and from where products are distributed. Eccles (1981) states that “the construction equivalent of the manufacturing plant is the project [italics 63 64 original], which is built on-site for a specific owner" (p.344). This is due to the third unique characteristic ofthis industry which is the fact that each product is fixed to the particular location it is built at. So, production takes place at the site where the product willbelocated.Thismeansthatproductioncantakeplaceanywhereandeverywherein the world. Finally, the factors of production used in the construction process are highly mobile. The construction process is carried out at the production site which is highly variable as noted above. Hence, many of the resources such as equipment, vehicles, materials and labor need to be mobile to be able to move from one site to another for different projects (Strassmann and Wells 1988). Linder (1994) notes that “... at the end of the twentieth century, rmrltinational construction firms still ship their own equipment from project to project around the world while importing workers from great distances”(p.4). Even when some objects such as bridges are prefabricated at home and exported to the location of the project, on-site processes involving excavation, assembly, and erection are still necessary (Linder 1994). Fonfara (1990) notes that the standardization potential of complex construction projects is limited due to the individualized preferences of the project owners, dissimilarities of the project locations and the advancement of technology. Moreover, many construction firms specialize in certain project types. For instance, among American contractors, Fluor specializes in energy-related work and petrochemicals, Ebasco in power generation, T.Y. Lin in structural engineering of prestressed concrete, Guy F. Atkinson in heavy construction, MW. Kellogg in petrochemicals, Brown and Root in offshore oil projects, and Louis Berger International in planning, design and construction management (US Congress, Office of Technology 65 Assessment 1987). Hence, not all firms compete on all types of projects. For each project type, thosewiththespecializedexpertiseinthatareacompeteforconu'acts. Competition has also dramatically increased in this industry. Contractors fiorn developing nations arnd newly industrialized countries (NICs) have emerged as legitimate competition (US Congess, Ofice of Technology Assessment 1987). Contractors from these areas have developed the capability to handle many types of projects on their own. USfirmswhowere once donninantininternationalmarketsnowfinditincreasingly dificult to compete with traditional competitors fiom Europe and Japan as well as with firms from these developing nations and NICs (Yates, Mukherjee and Njos 1991). Referring to these new competitors, a construction industry executive who participated in this study stated the following: “with their low overhead cost structures, these firms are dificult to compete with, especially on low bid business.” Contractors fi'om South Korea, Turkey, Brazil, Yugoslavia, Taiwan and India were pointed out by him as the most active countries outside the Triad. Another executive participating in this study made the following comment: “Fifieen or twenty years ago, when few developing nations had other than the most rudimentary domestic construction capabilities, US expertise was needed and, in many cases, welcomed. If a developing country needed a highway or a darn, it generally had to bring in a foreign company to design and build it. More recently, however, as the domestic construction industries in a number of countries have developed to the point that they can handle an increasingly sophisticated range of project types, these countries are seeking to protect their domestic companies by excluding or restricting foreign competition.” Commenting on the US construction industry, Richard L. Tucker, director of the Construction Industry Institute (haeafier referred to as CII), stated the following in his opening remarks of the 1992 C11 Annual Report: 66 “Inourconnpanieaweseesignificantg’owthininternationalmarketsand globalization. No one can deny that our engineering and construction industry is now truly an industry operating in a global market” (p.3). Today, American contractors face tough competition, mainly fiom European and Japanese contractors who often have more financial leverage (US Department of Commerce, International Trade Administration 1993). The efi‘ect of financing on competitiveness will be discussed below in more detail. The basic point to note is that in construction what is sold is actually not the structure itself; but rather the construction service. Hence, when a construction project in a given country is carried out by foreign contractors, the construction services are imported by the country where the project takes place. This is why such international construction activities are referred to as international construction exports. These are also referred to as “Irntemational Contracting” which Strassmann and Wells (1988) define as “fimns fiom one country building under contract in another. 4.2 TRENDS IN WORLD CONSTRUCTION EXPORTS 4.2.1 Overview: 1982-1993 In this section, an overview of the trends in world construction exports through 1982-1993 will be presented. First, some measurement problems related to the data used for this analysis of world construction exports will be discussed. Secondly, the trends in total international contract awards will be presented. These will be followed by overviews of distribution of construction exports by regional markets, by project markets, and by nationality of contractors respectively. 67 4.2.1.1 Measurement Problems The only periodically collected data on world construction exports appear to be those collected by the Engineering News Record (ENR), a McGraw-Hill construction weekly, which is a trade jourrnal of the construction industry,. The industry experts, including executives, acaderrnicians and public authorities, tend to ag'ee that these data are the only and best standard secondary data available on the activities in the global construction industry despite several deficierncies that demand caution in using them. Since 1978, each year EM? has been publislning figures for the international contracts awarded to the top international contractors. The contract awards are given for the top 200 contractors in 1978 and 1979, for the top 250 for 1980-1990, and for the top 225 since 1991. The data for each year have all been presented in similar formats (ENR, July 21 1983, July 19 1984, July 18 1985, July 18 1986, July 16 1987, July 7 1988, July 13 1989, July 5 1990, July 22 1991, August 24 1992, August 23 1993, August 29 1994). Hence, these data have been used in the following analysis of the trends in world construction exports for the period 1982-1993. As noted above, however, these data have some caveats leading to some measurement problems that need to be pointed out. First of all, the published information is supplied to ENR by the contractors themselves in response to a questionnaire (Strassmann and Wells 1988). Hence, the objectivity of the data may be questioned. Some firms may understate their business in some years, while others may have reason to overstate theirs (US Congess, Ofice of Technology Assessment 1987). Moreover, the nonresponding contractors are obviously not included. 68 Secondly, the total construction award figures presented in EM? for the top interrnational contractors are seriously inflated (Strassmann and Wells 1988). This is due to the efl‘ect of significant amount of “double counting”. Strassmann and Wells (1988) note that : “...irncluded in the totals are prime contracts, a firm’s share in joint ventures, subcontracts, design-construct contracts, and the erected value of construction management/programme management (CM/PM) contracts. Hence, there is clearly a substantial amount of ‘double counting’ as much of the work reported may in factbesubcontracted, allofitinthecaseof CM/PM. Also, designarndconstruct contracts include the value of installed equipment” (p. 7). There is also the likelihood of double counting between prime and subcontractors or parents and subsidiaries since awards are reported by each entity participating in a project (Price Waterhouse 1985). Hence, in this chapter, the analysis ofthe ENR data on contract award figures is based on the general trends exhibited by the data Despite the inflated nature of the reported figrres, the basic trends do not change. What the inflated figures do afi‘ect are the steepness of the ascent or descernt of the curves, but not the direction. Moreover, all of the figures have been converted into constant dollars (1982=100) to standardize the data against the efi‘ect of rising prices (Gordon 1990). Hence, the data used to generate the graphs presented in the following pages are not the absolute figures reported in ENR for each year, but the standardized figures in 1982 dollars. Another issue regarding the measurement of contract awards is the lag between contract awards and expenditures. Strassmann and Wells (1988) state that this lag is generally two years which has also been confirmed by industry experts during the personal interviews conducted. A project may be carried out over several years before it is completed (Price Waterhouse 1985). The figures reported in ENR are for new 69 international contracts awarded to the firms arnd not for completed projects. Moreover, the awards do not represernt the net revenues fi'om construction service exports (Price Waterhouse 1985). Thedificultyofobtainingdatsontheworld construction exportsalso needstobe recognized. In this regard, the efl‘orts of ENR in supplying the industry with standard data in comparable format from year to year has to be appreciated. The data presented are still useful, once their deficiencies are recognized, and especially, if they are used to depict basic trernds, but not absohrte figures. 4.2.1.2 Total World Construction Exports An overview of the trend in total international contract awards through 1982-1993 is given in Figrre 4.1. The most apparent trernd is the decline of total awards through 1982 and 1987 and the upswing after 1987. A peak can be observed in 1991 followed by a relative decline in 1992, and then, a relative increase in 1993. Two relative plateaus can also be observed between 1984 and 1985, and between 1989 and 1990. There have been various reasons for the dramatic decline of international contract awards between 1982 and 1987. First of all, the sharp fall of world oil prices in 1983 has resulted in a substantial decrease in‘oil revenues leading to the substantial shrinkage of the Middle Eastern market for construction exports. The econonnic recession experienced worldwide has also contributed to the decline in the demand for new construction. The following headlines that had appeared in the various issues of ENR exemplify these trends in that period (The headlines refer to the situation in world construction eXports in the previous year): 70 3:55.. 55.58 ._ mgr «war 32. cam— anow 32 has 82. mag 33 nag. mm: b J u u d a a co S NOITIIB 74 mhm¥¢<2 .._>< #055200 “.0 m0396 .225. «ca—m: 388322. .6261. 888m 3.535% .25 Eczema cozatoamcati 5:22.01- w¢ n02 NSF 33 33 83 3 Momra 78 ”Ev—~25 howfiomn. z. mom—<22 hoghzoo “.0 m0396 .033. EaE 9.589552- .Qsonl $82.“. 3.533% 9553 .82:wa coawtoamcflhl Eaggonl m¢ 82 ~an 33 $2 79 distribution of world construction exports among difl'erent project markets, particularly from 1990 to 1993. The fluctuations in the award amounts have also paralleled those that have occurred in percentage shares of difl‘erent project markets. 4.2.1.5 Distribution of Construction Exports by Nationality of Contractors Figures 4.6 through 4.11 present the trends in world construction export activities of the top contractors with respect to their nationalities. The distribution of contract awards among the six main groups of contractors in terms of their nationalities (except that European contractors are represented as a whole) is presented in Figure 4.6 for award amounts and Figure 4.7 for percentage shares. Top contractors fi'om Europe and the United States have been clearly dominating the world market for construction exports followed by Japanese contractors throughout the period form 1982 to 1993. The Japanese, however, appear to be increasing their share which rose 63% in 1993 compared to the previous year (ENR, August 29 1994). The Korean contractors have been very active from 1982 to 1986, with their shares diminishing thereafter. The Turkish contractors have also been relatively active in the beginning of the 19803, but, they have also lost their shares. However, they have been better ofl‘ than the Koreans and hold to about 1% of the world market by the end of 1993. The major reason behind the relatively high performance of the Korean and Turkish contractors in the early part of the 1980s and their decline thereafier is the market situation in the Middle East. Contractors from either of these countries had been very active in the Middle East. Hence, with the decline of this market through 1987, they lost their major markets and were not able to compete effectively in the other markets with contractors fi'om the Triad countries. 8O wm_h_._m mam—<22 5.055.200 "mhKOmxm ZOFODKhszO 0.202. 3. 2:2“. 72:0. 5825. :8:th 30:32.3 =3..ch c3350. 5885(I— mg near no: 32 82. mag 3a.. scar 82 -r- mum P 3a.. 8:3 33!, .g ”mugs 82 «m2. a: 3 Nomlfi 81 wm_._._._0 wo¢<>>< 5.055.200 ..50 m0 camp coup coup comp coop come coop camp comp naowuc> .mzm ”nomaow ocow comp camp our 82 mmF.._0 mNN nah m1... 2. m¢0h00 ma¢<>>< m._.0 82 82 Gear 83 82 82 camp camp 83 comp 82. Door S NOITIIB 84 000030 2.15.5: mmF_.—<20_5.<2 >0 mam—<22 5.0405200 “—0 00455200000 "05.0053 20.5.0305.0200 04003 Sc. 2:2“. 72.5. 3.89;- 533 5:53 5.583 8:2“.- =a__si_ 3333.335 05 mag. N35. 30—. 002. one. one hour 83 mag 32. n02. N02. .1...... \ . .l. i... if ll. .!xlt....i’.|.a.vllllrr r... 1 16:. ill! 3 .. . . .. . . . . . , . . :.. .... K. ... . z, . .. l... I 3 ON 80.. av om 85 meZ<20F<2 >0 can .505. 025. 2. 0005055200 2500030 ..50 000552 "05.0053 20.5.0amh0200 0.50055 5 3. 2.6.... 12.5- 5.89;- 53- 5.55 5.539 5:2“.- ..a..si_ 33.5.3858 0¢<0> no: No: 32 camp 08. one so: on: moor 32 near No2. ...-... rrrr ....... ON 9. 8.. 03. o: SUGlOVUlNOO :10 UBBWON 86 Figure 4.8 presents the number of contractors by nationality (again viewing European contractors as a whole for the sake of simplicity) in the top 250 between 1982 and 1990, and top 225 fi'om 1991 to 1993. As illustrated in Figure 4.8, while the number of American contractors has increased after 1989, the number of European contractors has decreased. On the other hand, the number of Japanese and Turkish contractors have been relatively steady throughout the period Ban 1982 to 1993. Figures 4.9 and 4.10 present the distribution of total contracts awarded to European contractors by their nationalities and their percentage shares respectively. As seen in both figures, Italian, French, German, and British contractors have been the driving force behind the success of the European contractors as a whole. By the end of 1993, British contractors have been the recipient of most of the contracts awarded to European contractors followed by French, Italian and German contractors. On the other hand, as Figure 4.11 illustrates, Britain is the third country in the ranking of European countries in terms of the number of contractors each had among the top international contractors. Italy has the largest number of contractors followed by Germany. Hence, it is noteworthy to point out that Britain has performed better than either Italy and Germany with less contractors. A further note is that Italy has always had the largest number of contractors in the top 225 compared to the other European countries since 1984. However, there has also been a decrease in the number of Italian contractors that enter the top 225 list since 1988. 4.2.2 Geographical Markets for Construction Exports In this section, the trends in each of the six main regional markets for construction exports will be reviewed one by one. For each regional market, first an overview of the 87 market through 1982 -l993 will be given Following that, the trends in the activities ofthe contractors fiom difi‘erent countries will be briefly reviewed. The countries or nationalities covered are those whose contractors have significant activities in the given market. For the sake of simplicity, contractors from difi‘erent European countries are all grouped together and referred to as European contractors. 4.2.2.1 Middle East Figure 4.12 presents the trend in the Middle East construction exports fiom 1982 to 1993 and the trend in the share of the Middle East in the world market. Middle East was the largest regional market in construction exports in 1982 as mentioned before. This market represented nearly 42% of the world total at that time. The amount of new contract awards, however decreased each year thereafter until 1987. Although new contracts gradually began to increase after 1987, the decline of Middle East’s share continued until 1989, bottoming out at 15.8% of the world total. In fact, during 1988- 1990, Middle East dropped to being number four in terms of size among the six main regional markets in the world. Since 1989, Middle East has increased its world market share a little bit. On the other hand, although it is the third largest regional market in 1993, its share is again in a decreasing trend as Figure 4.12 illustrates. As Figure 4.13 illustrates, the amount of new contracts awarded to the top contractors in the Middle East from the five main nationality groups that have been active there has declined fi'om 1982 to 1993 as this market shrunk significantly. On the other hand, as presented in Figure 4.14, the shares of the contractors fi'om different nationalities have exhibited a difi‘erent pattern. 255550 65.0.5 295:5sz 55 38.: «E. 2:9”. F53 2.25 5 3+ ewe _2£I_ xi. 3! .Enmogom was; «8.. NSF Saw 82. an: coop 52 003. mag 32 near No2. O ‘ m o w o w m P ON ON on mm on cw mm an 3 mv on S NOITIIS 89 >.—._Am amp—05.5.00 "why—OLE zogoamhmzoo hmm ._<._.O._. n—O m0 82 «o2 ..an 82 83 83 52 82 32 3a.. 32 «new _. ..... x. . a u a .r + c . .X ................ . . . 2 ._ ON on x... .\ / \,l/ is o \ I/Qlllinll. 3 .\ J\ - on . co 2. 91 Americandeumpeanconuactorshaveincreasedtheirsharesinashfinldng market at the expense of Turkish and Korean contractors. By 1990, Turkish and Korean contractors have practically been out of the Middle Eastern market. American and European contractors appear to have been particularly successful in retaining most of the new contracts awarded. The Japanese contractors have succeeded in exhibiting a relatively stable trend of activities, with small ups and downs. 4.2.2.2 Asia The trends in the amount of new contracts awarded in Asia through 1982-1993 and the percentage of the Asian market in world total are shown in Figure 4.15. From 1982 to 1987, the Asian construction exports have shrunk which is in parallel to the shrinkage of the world construction exports in the same period. On the other hand, despite the decline in the dollar amount of new contracts awarded, the share of the Asian market in world total has increased in the same period. This points to Asia doing much better than the other regional construction markets even in those years of recession in the world market. After 1987, the Asian construction exports have begun to increase drastically, benefiting fi'om the growth of the world market as a whole. On the other hand, its share has been relatively stable indicating that the other regional markets have also grown at a similar rate. What is particularly noteworthy is, however, what has happened since 1991. In the two years following 1991, the Asian market has exploded increasing both the amount of new contracts awarded and its share in the world market. By the end of 1993, Asia accounted for over 33% of the new contracts awarded worldwide. Hence, Asia was the 92 3m_>¢m>0 $5.0me ZOFODKszOO Sm< 2.4252“. n o c _. at... 3 3.1.: see .88.! 333.38%8 m¢ m m m m a u a m m n m m . o S NOITIIE 93 largest regional market for construction exports in 1993, being the engine for the growth of the world market for construction exports. Figures 4.16 and 4.17 present the trends in the activities of the top contractors in the Asian regional market. American contractors have been the dominant players between 1982 and 1985, dropping to number three between 1986-1988, going up to number two between 1989 and 1990, and finally regaining and keeping their leadership since 1991. The European contractors have exhibited the exactly opposite trend. In other words, they have been weak until 1985, strong between 1985 and 1989, and weak thereafter in terms of percentage share. The amount of new contracts awarded to both American and European contractors have increased since 1991. However, the percentage share of European contractors has decreased in the same period. In other words, European contractors appear to have performed much less successfully than their American counterparts in the Asian market. The Japanese contractors, however, seem to be on the move, increasing both the amount of new contracts awarded to them and their percentage share in the Asian market. Finally, although the Korean contractors had about 10% of the new contract awards in 1982, they do not seem to have any significant level of activities in the Asian market for construction exports by the end of 1993. 4.2.2.3 Africa Overall, the Afiican market for construction exports exhibits a declining trend between 1982 and 1993 as Figure 4.18 illustrates. It has had many ups and downs during that period. On the whole, the market has shrunk until 1987, grown between 1987 and 1991, and has been shrinking since 1991. The share of Afiica in the world market for 94 muE._ nag. N02. 33 82 an: 82. ~03 82. mag 33 nae. Nae. a ...q J... x a. ...... x ...... x ...... .x ...... ... ...... M. ...... a.» . . o . . .m u off/s 3 NOI'I'IIB 95 mmF_40 ._<._.Oh no m00 $55.3. 22.595.”ch <03: 2.. 9...»:— __32. 3.25 ... 3+ 93 3.: 22m» 82 «2: 32 82 82 82 Be 82 32 32 82 N2: 3 NOITIIB 97 construction exports has followed roughly the same trend exhibited by the amount of new contracts awardedinthatmarket. Inotherwords, itssharehasincreasedwhenthe market hasgrown,anddecreasedwhenishassluunk.Asnotedabove, however,theAfi'ican market has been steadily shrinking. European contractors have by far been dominating the Afi'ican market for construction exports as illustrated by Figures 4.19 and 4.20 holding as high as 80% of the market in 1987. American contractors have been following their European counterparts and have even outperformed them in 1991. Apart fi'om these, however, Turkish and Korean contractors also appear to have been major players in the African market, particularly until 1987. However, since the African market has been shrinking in recent years, the amount of new contracts awarded to contractors has been decreasing for all of them. Hence, the challenge for contractors in this market is to be able to hold on to their market shares. 4.2.2.4 Europe Europe has been steadily growing as a regional market for construction exports since 1984 with the exception of a slight decline in 1993 as illustrated by Figure 4.21. Overall, its share in the world market has also increased from 1984 to 1993. Europe’s share has declined only in 1988, 1991 and 1993. Among these exceptional years, 1988 and 1991 are interesting to note since the European market has expanded in those years in terms of the amount of new contracts awarded. Obviously, some or all of the other regional markets had grown at a faster rate than Europe did in those years. On the whole, however, Europe appears to be one of the leading regional markets in the world for construction exports. 98 EQZO—hdi VG why—Cg ZOEDEmZOU (0% a: 8:3.— canxlol 53...... . .x . . unocuaaalil 5885+ 52.25.10.1— niaciéfiumog mg mgr «gr Poor gov Omar 03—. hour saw near v02. «our «Dav . . , - r—q # b p O \O 1 N x... . \\ 4 \ o . v o 3 NOITIIB .9. NP mmF30 ._<._.O._. ".0 m00 "why—Omxm 20Foamhm200 mmomau —.N.* 0.59...— 3 28m! . E "flux—38 T305. 803531.! 903 335.3 nun—auag—égg-flaéguxiig "HS: 03> 03w Nae gap 82. an: 82 hour 82. moor 32 6 NOITIIE 101 As Figures 4.22 and 4.23 show, American and European contractors have, by far, been the dominant players in the European market for construction exports. Together, they have accounted for over 90% of the new contracts awarded in this regional market. The third major group of players come from Japan who follow the leaders form a wide distance. Finally, the Turkish contractors have had some activities in Europe since 1988, taking their activities to the same level as those of the Japanese contractors. One interesting note is that American contractors have been awarded less new projects and have also lost market share in 1993 compared to the previous year. At the same time, European contractors have been on the move who have increased both the amount of new contracts awarded to them and their market share. 4.2.2.5 North America The North American market for construction exports has exhibited a fluctuating trend from 1984 to 1993 as shown in Figure 4.24. While the world market was shrinking until 1987, this regional market was growing. This is also reflected in the fact that its share of the world construction exports has steadily increased from 1984 to 1988. This growth period was, however, followed by a decline period afier 1989 which went on until 1992. Similarly, North America’s share of the world market decreased in the same period. From 1992 to 1993, the market grew again accounting for over 10% of the world market in 1993. The North American market for construction exports is comprised of the US and Canadian markets. Figures 4.25 and 4.26 exhibit what was happening in these two markets from 1988 to 1993. Both of these markets grew from 1988 to 1989, but, shrunk from 1989 to 1992. When Figures 4.24 through 4.26 are compared, however, it becomes 102 >._._...m why—Omxm zOfioam—bmzoo mmomam «Ni 8:2". I! as! .zzm ...—058 Esta. . .x . . 98:82:14.1 5883+ 5322+ as asaeéfiaagamsaé £33.33uzu £8: «E 08—. was. 30—. 83 an: 83 has 82 mag. 32 \ o 3 NOI'I'IIB .2 1N? *— 103 mmF_._m ._<._.O._. “.0 m00 "mHZOmxm ZOFOD¢hszO (OEmE< thy—Oz cud 2:2". 3.! 25...! .E "weapon :88. 23>: fie 8+ :68 335— §_3§_£§§<§z§&sfl_§§a€uzm as: 05> no: Nae 33. 83 one. one hour 82 near 32 9 NOITIIB 105 zfiSmm>o mEoem 20.53:.sz $55 amtz: an... 2.6.». I... 33> . E "mg—DO» 237Na3 no.“ 83.38 mb 05 new 03255 8: 53 MZM uP—bz :33 23; 3 3+ 53 .28.. ”E was Nap 32 coop anon one. 9 NOI‘HIE 106 2551m>0 95—0me 20 F0 :mhmzoo FSm why—2x“ ZOFODKFmZOO (OEmE< 3.5.02 5N6. 0.52“. as... as! .xE ”menace _ 82.2.2... . .8 . . 5883+ 5638+ 5055+. ea. 1.. 82 8.. 3:... Sara... 532 .58. 33...... .8 3... EB "who: ”5 nag was. 30.. camp moor 80.. 509. 8a.. moo? 32 or... ..... X.......v ..lhhnltlulu “Hit r /\lilit\\iilol aulro.roooXIsoo.ot.H1”l” * tltrlll.Av N . Irritttit. cc 3 NOI'I'IIB row 109 mmF...m ..(hO... ....O m0 03.. N02 32. 03.. an? 32 so: one mum? 3a.. 110 >...:0 ..(ho... ...—O m0 82 82 82 _ ell-11111111111--11t111.---11e 1111-1 0 -- 2 lllfl’ ON 4. on 1 8 .... - cm 8 \/ 1% .... a 8 112 mm....._m why—0mm ZOFODMPmZOO 89 «as 33 83 an? an: 9 law 3 NOITIIS 113 mmEJ0 ..(hO... ".0 m0¢m>o "mEOaxm 20:85sz0 55.5 2E: and 2.5.". __a.:. :33 3 ..TT ewe aski— 3%.Sfi a¢ moor Noow poop oaOv wear scar boar ouow moor vamp "no; moor N 9 OF N. SNOHVB 116 >......<20=<2 «3.85.500 >0 «5.0.5 20.53.5200 m t_<._.O._. n—O mG no: N62. 32 82. on: no: know 32 mag 33 82. N02. P p p h h P h b n b n d d d d u q q - q 1% o 118 4.3 CONCEVTRAHON 0F HIE WORLD WT FOR CONSTRUCHON WORTS & WAITONALEAHON OF ME TOP CONTRACTORS Inthisseetion, abriefanalysisofthe distribution ofthenewcontract billings ofthe top contractors in construction exports will be presented. First, the concentration in the market and the level of international activities of the top contractors will be reviewed. Secondly, the international activities of the contractors from different nationalities will be compared. As the data in Table 4.1 show, the top 5 contractors accounted for 14.6% of the total contract billings in the world ill 1993. Similarly, top 10 accounted for 24.2%, top 50 6l.O°/o, top 80 75.2%, and top 100 81.3% of the world total. In other words, the top 50 Contractors held nearly two-thirds of the world construction export market in 1993. What is more interesting, however, is that the top 5 contractors, which constitute 2% of the top 225 contractors, had 29% of all international billings in the world in 1993. Moreover, top 10 had 41.8% of all international construction billings in the world. Similar-1y, top so accounted for 81.1%, top so 91%, and top 100 94.4% ofall international billing?» Those contractors ranked 101st to 225th accounted for only 5.6% of all international billings in world construction contracts. As noted above, 2% of the 225 contractors (the top 5) hold 29%, and 55.6% of the 225 contractors (the last 125) hold 5.6% of the market. This clearly indicates the ”Reina-anon in the market and the outstanding dominance of those few contractors who are at the very top of the list of top 225 contractors in the world. In other words, the market for world construction exports is largely held by 50 top contractors who hold over 80% of the market. Hence, overall, the world market for 119 .x. o: x 98. 82.2. .\. 98. 8.2% am no... .\. Sm .\. v.3 cameo... .\. m... 22.23 8. ooh .x. non .x. is 58...... .x. N? 3.23 8 no... .\. ode .\. .... 33.3. .x. o. .o 82.5% on ..oe .\. a...“ .x. ...... 82.3 x SN :2 .o: o. no... .x. 08 .\. 9% 2.8.3 .3 3.. van... m 8.. lilacs... .sca 9......— G 82.5. was... a 52...... 3.2....— ._=.c....Es£ 15353... ..c .x. .95...— .ace..oEsc. 3c... 2. .x. .95.... 3c... .25. «.8. 7.. 0.203 0:... 2. 3953.500 .8... .... .2: 120 constructionexportsappearstobehighlyconcentrated. Ontheotherhand,theremaining 20%» of the market appears to be very fi'agmented. Particularly, beyond the top 100, the remaining 5.6% of the world market is divided among the last 125 contractors in the top 225 list for world construction exports. In fact, Seaden (1992) observes that cOnstruction industry is highly fragmented worldwide, but that large, integrated companies, are becoming more and more important. The last column in Table 4.1 shows the ratio of the international billings of the contractors to their total billings. This ratio, which is an indication of the importance of international activities for the contractors, can be viewed as a proxy for the level of intel'nationalization of the contractors. Overall, 31.6% of the total billings of the top 225 cOlltt‘actors come liom international billings. On the other hand, when the contractors at the higher ranks and lower ranks are grouped and compared, different levels of internationalization are observed. The data reveal that almost 63% of the total billings of the top 5 contractors come fmm international activities. This ratio decreases as we go down the list of the top 225 cont“aetors. For instance, the ratio of international billings to total billings for the top 10 contractors goes down to 54.4%. For the top 50, the ratio is 40%, for the top 80 36.7%, and for the top 100 35.3%. In other words, the level of internationalization of the contra'ittors decreases as we move down the ranks. 0n the other hand, the internationalization ratio for the tap 100 is still more than the ratio when all of the top 225 contractors are considered which was 31.6% as noted above- Hence, it becomes apparent that the amount of international work done by the 121 contractors who are towards the bottom of the list is more or less negligible compared to the total market. Table 4.2 presents the data for comparison of the internationalization levels of contractors form difl‘erent nationalities. It must again be noted that the contractors from difi‘erent European countries are grouped together for the sake of simplicity only. When total contract awards are compared, Japanese contractors are number one followed by the American and European contractors in second and third place respectively. On the other hand, this ranking changes completely when international contract awards are compared. This time, European contractors are number one, followed by American contractors, with Japanese contractors falling down to third place. The internationalization levels of contractors from difl’erent nationalities are again compared using the ratio of their international contract awards to their total awards. In this analysis, the Turkish contractors are found to be the most international. 68.8% of the total contracts awarded to Turkish contractors are on international contracts. This is a clear indication of the disposition and commitment of the Turkish contractors to foreign markets for doing business. Kaynak and Dalgic (1992) have also noted that Turkish construction firms have gone through a clear internationalization process and have been particularly successful in the Middle Eastern and North African markets. The European contractors follow the Turkish firms who have an international contract awards to total contract awards ratio of 46.3%. American contractors have a ratio of 41.85 placing them in third place in terms of internationalization. However, when only the top ten American contractors are considered, this ratio goes up to 51.8%. This ten point increase clearly shows the discrepancy in the internationalization levels of 122 ...8. m: .o .x. on. . :8. m0 .o .x. so. @8880 e. ...: o: . an 82.8. m: o. 8: .\. ...... 28.... $8.“... c885 .\. 3o 82... mm... .N 52.3 .323— .\. Q8 2...... 28.: .88 .\. on. :o. .8 88.8. 8883 8 nos 2.8.8 888. 82.28 a 8.2.8 a 8.....0 a........ 3.592.... 18.35.... a......e 18.2.53... 8...... .58. 3.18.8... ae— Z— mH—H~Am mflOHUéFZOU 59—. HIP EC ZO—Pfi—AdiO—hfifi—QHZ— N6 03:. 123 American contractors. The top ten, who account for 85.3% of the total international contracts awarded to American contractors in 1993, appear to be highly international. Hence, a few big contractors dominate the export-oriented group of American contractors (US Congress, Ofice of Technology Assessment 1987). The Koreans do about a quarter of their work in foreign markets. Interestingly enough, Japanese contractors are found to be the least internationalized. Only 12.5 % of thetotalcontractsawardedtothemareoninternational contracts. Thisisrnainlydueto the fact that they have a very well-protected domestic market that precludes foreign contractors from entry (Schelesinger 1993). 4.4 HVDUSTRY STRATEGY Development of a business strategy in international construction involves a number of decisions. Contractors need to decide “when to enter which country, what to export there, in association with whom, under what contract form, at what price, and with whose finance” (Strassmann and Wells 1988, p.227). Market entry decisions are not too much difi‘erent from those facing firms in difi‘erent industries who are involved in international business. Among the factors considered are attractiveness of the market, resource availability and cost, political and economic stability, etc. The contractors from the Triad countries have been active in all markets across the world though in varying degrees. 0n the other hand, contractors fiom developing nations or NICs have targeted specific regions in particular. For instance, Koreans have been very active in the Middle East which also became their handicap when this market shrunk drastically through 1982-1987. Similarly, the Turkish contractors have 124 beenveryactiveinthehvfiddleEastandNorthAfiicaand havebeenhurtwiththe decline of these markets (Kaynak and Dalgic 1992). Another major decision facing international contractors is on selection of associates or partner to work with. According to Strassmann and Wells (1988), “To initiate, organize, and execute work abroad, a construction firm will often associate itself with others in a joint venture or consortium” (p.227). Given that such an association is necessary, selection of the “right” partner to collaborate with becomes a critical decision. In this regard, forming long-term alliances appear to be very beneficial, particularly in markets where continuity of work is anticipated. The issue of collaborations among contractors will be discussed in detail later in this chapter. Another concept or approach that has gained a lot of popularity and attracted interest in the US construction industry is that of “partnering” between owners and contractors (Rudy 1992). This view focuses on the relationship between all parties involved in a construction project including the owners. Partnering approach emphasizes “making long-term commitments with mutual goals for all parties involved to achieve mutual success” (Partnering Task Force, 1991). In a C11 (Constnrction Industry Institute) study, Halpin, et al (1993) note that owners look for long-term relationships with contractors where nrutual expectancies are met. A relationship based on trust and the selection of team personnel are identified as the top management concerns in the partnering approach (Partnering Task Force 1989). Minimizing uncertainty and maximizing the amount of work and income are the objectives of the contractors. Hence, they seek large projects with safe turnover. The most preferred contract type is a design-build package and the least preferred is open 125 competitive bidding A design-build package is very attractive because higher profits can be obtained (Strassmann and Wells 1988). Seven key factors were identified in a C11 study which were most likely to influence competition in the construction industry. These were (1) flexibility in operations and the ability to adjust to changing client needs rapidly, (2) diversification and expansion of markets, (3) recognizing the importance and need for establishing people relationships, (4) formations of strategic alliances, (5) innovation and the capacity to adapt new techniques, (6) quality in products and services ofi‘ered, and (7) maintaining a strong financial disposition (Yates, Mukherjee and Njos. 1991). 4.4.1 Financing Financing of projects is one of the major issues in the construction industry (US Congress, Ofice of Technology Assessment 1987). In international construction, financing becomes even more critical and project proposals that include low-cost financing get preferential treatment (Pheng 1992). Request for financing is also usually part of the bid process for foreign construction. Several instances of this are reported in the article “Bankers Construction” (ENR. Jan 27 1983). Provision of low-cost finance is one of the main criteria used by foreign governments in awarding contracts. Project proposals that include competitive financing as part of the bid package are the ones that succeed (US Department of Commerce, International Trade Administration 1993). Similarly, financial stability of the contractors is one of the decision criteria in contractor prequalification (Russell and Skibniewski 1988; Russell, Hancher and Skibniewski 1992). One of the executives who participated in this study has made the following comment on the issue of financing: 126 “Financing has always been important. But it has taken on a new dimension in the past few years. In today’s cash-poor markets, many projects simply cannot be built unless the contractor arranges project financing. New financing methods are being used, some of them involving countertrade or various forms of privatization. The build-operatetransfer (BOT) method is being utilized on a mrmber of large projects. The successfirl bidder must finance the project, design and build it, operateitforaspecifiedperiodoftimetoearnbacktheinvestrnentandthen transfer ownership to a public authority”. For instance, Eastern Europe presents a lot of opportunities for new projects, but lack of financing in that area poses a serious problem. A recent development is the formation of the European Bank for Reconstruction and Development (EBRD). One of the primary objectives of EBRD is to support infiastructure development in the region. Although the Bank does not finance the total cost of a project, it works to stimulate investment from other public and private sources (Intematr‘onal Construction Newsletter, 18:4). In other words, in cash-poor countries where there is potential for many projects, outside financing may be necessary to create a market (US Congress, Ofice of Technology Assessment 1987). For instance, in the project to build a terminal at Prague Ruznye International Airport in the Czech Republic, the Czech government could not raise capital to finance the project and invited bids for a BOT contract. The government formed a joint venture with the consortium that got the contract (ENR, August 8 1994). Strassmann and Wells (1988) note that the market for international constnrction has switched from being a seller’s market to being a buyer’s market. They state that “...price becomes an increasingly important issue of contract - hence worldwide procurement of materials and low-cost but disciplined labor - and then finance” (p.241). At the 1993 International Construction Forum, Jack Randolph from the US Department of Commerce noted that financing was the key for being competitive in international 127 construction contracts. He went on to add that with the growing trend in the world towards privatization and use of the BOT method, project financing has become even more critical (International Construction Newsletter 1993, 18:2). For instance, in 1993 the Turkish government announced an $18 billion infi'astructure program which was intended to be financed through the BOT and build-own-operate (BOO) methods (International Construction Newsletter 1993, 28:3). Moreover, it is also reported that European contractors are looking for BOT contracts to expand their business (ENR, August 24 1992,). The importance of financing in construction is particularly critical because of the lag between production and sale which is much more than any other industrial sector. When a contract is awarded, the contractor starts preparing the construction site, ordering the materials and digging the foundations. Hence, expenses start to accumulate immediately, but the project will usually take a number of years to be completed. So, the contractors need working capital to cover this lag in construction. On the other hand, a project will provide its income over a number of years causing an income lag. Hence, project financing is required to cover this income lag (Strassmann and Wells 1988). The Japanese-led consortium that won the contract to build a bridge across the Bosphorous in Istanbul, Turkey provides a clear example of the efi'ect of financing (Ingrassia 1990, reprint). The winning group was led by Ishikawajima-Haima Heavy Industries Co. (I.H.I.) of Japan. They made a surprising bid overthrowing the consortium led by Cleveland Bridge and Engineering who was backed up by the Bechtel Group. As Ingrassia puts it, “As if its huge price advantage weren’t enough, the I.H.I. group’s finance package clinched the deal” (p.427). 128 The finance package included Japanese government loans and Italian credits with very attractive interest rates and payment terms. Entering collaborative ventures with foreign firms may be one way to have access to subsidized financing. Moreover, the contractor may need to be financially strong itself and take equity position in new projects. The protocol signed between Bechtel Power Corp. And the Turkish Electric Authority to build a $1 billion coal-fired powerplarnt provides an example of this. Bechtel and its partners will design, build and finance the project and also enter a lS-year joint venture with the Turkish Government. Some of Bechtel’s revenues will come fiom the sale of power (US Congess, Ofiice of Technology Assessment 1987). Hence, partnerships or alliances provide an alternative medium to use the financial leverage and government support of foreign firms. Yates, Mukherjee and Njos (1991) report that US firrrns are seriously considering such partnerslnips to complement their construction management expertise and win contracts. 4.4.2 Government Both the local governments in the country where the project is located and the home-country governments of the contractors effect strategies and competitiveness of the contractors. These efi‘ects are due to the requirements set by local governments and assistance provided by home-country governments of the contractors. Partrnering with a local contractor is a legal requirement set by many foreign governments which is a prequalification criterion that foreign contractors have to meet. Hence, foreign contractors have to select a local contractor to form a joint venture or 129 consortium to be able to enter the bidding. One of the executives who participated in this study nnade the following remark on this issue: “There are new regulations or established practices in a variety of countries which require substantial participation by local firms or efi‘ectively exclude US companies from many types of projects”. There are, ofcourse, many benefits to collaborating with a local contractor such as making use of its local contacts, knowledge of the market, etc.. However, when it is a legal requirement, this mode ofentry is the only way to have access to the market. In other words, there is no mode of entry decision to be made if that market is selected for entry. The remark noted above about exclusion of US companies implicitly points out the fact that some governments may employ regulations to protect their national markets. Japan provides a clear example of this phenomernon whose market has been virtually closed to foreign contractors (US Department of Commerce, International Trade Administration 1993). Outsiders are excluded and foreign companies get only less than 1% of Japan’s public works construction market (Schlesinger 1993). A foreign contractor has problems even in hiring subcontractors and suppliers in Japan since they are loyal to established companies in Japan. More than a year ago, however, Japan has approved a plan that would open the market for public works and tlnrough open and competitive government on central government contracts (ENR, Jan 24 1994). Moreover, many governments insist for the engineering and design work for a project to be done locally. Transfer of proprietary technology is also sought by many governments. Hence, contractors desiring to do work in such countries have to satisfy the 80vemment in those countries (US Congess, Ofice of Technology Assessment 1987). 130 Ontheotherhand,thehome—counfiygovanmansofthecontractorsalsohavea direct efi‘ect on the operations and strategies of their contractors through the assistance they provide. For instance, Japanese arnd European governmernts provide significant amount of subsidies and other types of financial assistance to their contractors when they enter foreign contract bids. In countries such as Japan, France, and Italy, government agencies provide both developmernt aid and export credits at below-market interest rates (US Congess, Ofice of Technology Assessment 1987). As noted above, financing is a critical deciding factor in many contract awards. Hence, contractors fi'om Japan or Europe have a significant advantage over their competitors fi'om other countries, particularly the US, and can ofi‘er very attractive tenders. One of the executives participating in this study stated: “We are seeing more use of government sponsored “mixed credit” financing whereby foreign aid finnds are combined with official export financing to effectively “buy-down” or reduce the efi‘ective interest rate on a project loan”. The Japanese and French governments are particularly very active in promoting their construction industries and providing different kinds of assistance to their contractors in foreign contract bids. The Japanese call the credit provided by the government “foreign aid”, and not a subsidy (Ingassia 1990, reprint). On this gound, they argue against the allegations raised against them for subsidizing their contractors. Strassmann (1989) notes that the French, Italian and Japanese governments are willing to transfer resources abroad which is the main reason for supporting their firms erntering in international contracts. The Korean government also appears to be very interventionist, following their contractors wherever they go (Strassmann and Wells 1988). Similarly, the Turkish government provides govemment-sponsored export promotion to their contractors. The 131 policies of many developing countries and NIC governmernts have also helped their construction industries to mature technologically (US Congess, Ofice of Technology Assessrnernt 1987). The following remark made by one of the executives who participated in this study clearly show how the US contractors feel about the activities of their govemnnernt: “Manyofourforeigncompetitorsreceivewbstanfialassistancefi'omtheir governments in pursuing overseas business. This assistance generally takes the form of low-cost export financing, government funding of feasibility studies and risk insurance, tax breaks, and a variety of other progams. The US construction industry receives some limited goverrnmernt assistance in these areas, but the industry has traditionally had a hard time convincing Congress of the importance of the export side of the US design and construction industry. The US governmernt has failed to appreciate the dificulties of doing business in foreign markets and has burdened the industry with regulations and restrictions making it more dificult for US companies to compete abroad. Among these regulations are the Foreign Corrupt Practices Act, Anti-Boycott Regulations and Onerous Tax Requirements”. In addition to providing loans or low-cost financing, home-country goverrnrnents of the contractors may also provide financial assistance in the form of tax incentives. For instance, “Italy and Japan do not tax income earned abroad and have further tax concessions on the domestic income of exporting companies” (Strassmann and Wells 1988, p.239). Again, US government is the most reluctant to reduce taxes or provide financial leverage to its contractors that enter foreign contract bids. One of the participants in this study made the following comment on this issue: “US tax treatment of American firms conducting business in overseas markets remains a continuing stumbling block to their competitiveness. Complex and restrictive rules goverrning the use of foreign tax credit provisions present an unnecessary burden on corporations and their employees. Additionally, despite the fact that the Foreign Earned Income Act (Section 911) provides a limited exemption from taxation for certain qualifying income earned overseas, the US is still the only industrialized country which taxes the foreign earned income of its citizens abroad. These taxes make US workers more expensive than their European counterparts to hire and maintain on overseas projects. Studies have consistently shown that Americans working abroad buy American and sell American products, creating US exports and US jobs”. 132 Home-country governmernts can also help their contractors in developmernt of new technology which will be discussed in tlne next section below. Asoneindusfiyexpeflnotes,»farasUSconfiactorsareconcerned,their governmernt has provided a lot of irnternational project opportunities in the past which were governmernt firnded. Among these were embassy construction, overseas military construction projects or AID projects. The trend, however, is that there are less and less opporturnities for overseas work from government agencies. Hence, the efi‘ects of both local and home-country governments on the competitiveness in the industry are apparent. There is a lot of concernns voiced about government subsidies, but many governmernts still provide them. Moreover, the financial leverage introduced through these subsidies can be the deciding factors in determining who wins the contract bid. Furthermore, it is also apparernt that when financing is the deciding factor in a contract award, US firms typically find themselves at a disadvantage against their foreign competitors. 4.4.3 Technology Level of technological development is another factor affecting competitiveness in the global construction industry. As within most industries, contractors that utilize new methods and tools, which are a result of the application of new technology, have a differential advantage in the industry. Development of new technology and methods, however, requires significant amount of investment in R&D. Governments can have a significant effect on the technological development of their construction industries by making the necessary investment, facilitating the coordination of research conducted in the industry, or encouraging the firms to collaborate and invest in R&D. 133 The American contractors have had the leading edge in construction technology for many years after the World War II. Today, however, the Japanese have takern over in many areas. While the US has traditionally been the exporter of technology, it has become a technology importer with Japan taking over the technology leadership. Actually, as Strassmann and Wells (1988) note, the Japanese imported all-American construction technology, learrnt fiom it, moved to European technology, and lastly began developing their own that now makes them the technology leader. Now, R&D is an integral part of large Japanese construction companies and The top 50 Japanese contractors are actively involved in R&D (Sidwell, Metzinger, and Tucker 1988). Large Japanese contractors annually commit as much as $100 nnillion each to applying robotics and other automation techniques to construction. On the other hand, the budget for R&D is very limited in the US. Few of the large American contractors have people working directly on new construction methods. The following example shows that R&D is seen more as an expense rather than investment: “During a visit to a Japanese research laboratory, a vice president of a major US construction firm has been reported as saying that, if he were in charge, he would fire all the R&D stafi' and save the company 825 million a year (cited in US Congess, Ofiice of Technology Assessment 1987, p.144, original citation at Final Report, Task 3, Technology in Architecture, Engineering, and Constnrction, op. cit., pp. 6-7). The US industry is also reluctant to use new construction techniques due to litigation concerns in case of failure (US Department of Commerce, International Trade Administration 1993). In a CH study, Sidwell, Metzinger and Tucker (1988) note that: “The US construction industry undertakes virtually no research. That which is done is being performed primarily by materials and equipment producers” (p.30). 134 Seadern (1992) has identified three systems in the world for gerneration and transfer of krnowledge in the construction irndustry which can be labeled the European, the North Americarn, andtheJapanese systems. IntheEuropeanmodel, thereisahiglnly structured, formal and centralized national system for research in construction. Specific national organizations gernerate researcln, while others transfer the results to the irndustry. The financing of the system comes fi'om both the national government and the industry. As Strassrrnann and Wells (1988) note, the European governmernts do not only help their contractors with financial assistance, but also provide technological support. In contrast to the system in efl‘ect in Europe, “there is little coordirnation or overall direction in the construction research efl‘ort in North America’ (Seaden 1992, p.51). Most construction research is conducted at the universities, and national research institutions play a relatively limited role. Moreover, transfer of research results to the industry is much less institutionalized than in Europe. The commonality in both the European and North American systems is that most construction research is firnded by the state and performed at universities and research institutes. In other words, private sector invests very little in construction research. There seems to be more awareness building in the US construction industry that more attention needs to be given to research and some consolidated efl‘ort. In this regard, some institutions have been formed such as the Construction Industry Institute (CII) whose mission is stated as: “...to improve the total quality and cost efi‘ectiveness of the construction industry through research and implementation for the purpose of providing a competitive advantage to US business in the global marketplace” (C11, 1992 Annual Report). 135 Moreover, one of the obligations of memberslnip to C11 is stated as “Willingness to slureunderappmpfiatesafeguud,mfonmfionufithresearchtwnsandufiththe membership in general”. The situation is completely difi‘erent in Japan where private sector is the engine behind construction research. Such research is conducted inside the large corporations, who make significant investments as noted earlier (Seadern 1992). Sidwell, Metzinger and Tucker (1988) have found that “Japanese builders view R&D as an essential investment for the future and have directly linked R&D to construction activity ...”(p.46). Therisldnessandhigh cost ofR&D investments also makeithard for individual companies to handle on their own. Hence, instances of inter-firm collaborations are also observed in the construction industry with the objective of joint R&D by sharing risks and cost. Although American firms have lost the technology battle on a number of grounds, they are still the unchallenged leader in construction management (CM), process plarnt design and computer aided design and drafting (CADD) (Sidwell, Metzinger and Tucker 1988). In fact, the edge that American firms have in computer-based technologies has helped them to hold a competitive place in the international market (US Congess, Ofice of Technology Assessment 1987). The Europeans and the Japanese lead in developing new site-oriented construction technology. The Japanese, for instance, are undoubtfully the leader in tunneling type of work (Strassmann and Wells 1988). 4.5 ALLIANCES HV HVTERNAHONAL CONSTRUCTION Examples of inter-firm collaborations have been steadily increasing in many industries and appear to be a global trend for doing business. As noted before, 136 international construction is an industry also characterized by such inter-firm collaborations that may take various fornns. For instance, the contractor-subcontractor relationship is an inherent part of the industry, and collaborative ventures betweern contractors are also typical. The concern of this study, however, is the latter type which refers to collaborations between contractors. J.T. Kavanagh (1990), chairman of the National Constructors Association (NCA) in 1990, had stated that strategic alliances with foreign contractors would be commonplace for NCA member companies. He had also noted that this would be true for both domestic and international projects. 4.5.1 Rationale for and Benefits of Alliances Interrnational contractors have a number of reasons or motives for forming alliances. Although some of these also apply to firms that form partnerships in their industries, some are specific to the construction industry. The Construction Industry Institute in the US (hereafier referred to as CII) has commissioned a number of studies on the construction industry. One of these studies has specifically focused on alliances in international construction (Badger, et al. 1993). A goup of researchers at Arizona State University, USA, has conducted this study which is one of the few that has investigated the issues surrounding such alliances in detail. Thirty personal interviews with senior level international construction executives were conducted during this study and the results presented in a detailed report (Badger, et al. 1993). According to this study, the reasons for forming alliances in international construction and the benefits gained can be gouped into seven business areas (Badger, ct 137 al. 1993): (1) FinanciaL (2) Marketing, (3) Operational, (4) Governmernt, (5) Management and Personnel, (6) Technical, and (7) Labor. In the financial area, international contractors forrrn alliances to access financing, slmeandlowadskanhmcepmfiubifity,havemrvivalmdfinmcidsecudty,meet bonding requirements, and lower overhead costs. Since construction projects are very costly, contractors may consider them to be very hard and risky to undertake on their own. Hence, financial motives for forming alliances are particularly strong and efi‘ective in this industry. Secondly, through alliances, contractors gain a number of benefits from the marketing point of view as well. Broadening the client base, entering or having access to new geogaphical markets, increasing competitive position, maintaining arnd increasing market share, getting firture project information and establishing a network, sharing long range plans, and being recognized as an international contractor are identified as the marketing related benefits. Operationally, the partners in an alliance can service core clients in different parts of the world, have project and administrative diversity, experience and knowledge, access supply lines, and increase their flexibility. From a technical perspective, alliances provide a suitable medium to the contractors for accessing new technology and low-cost design/build services, and can be a source of R&D. In the management and personnel area, alliances enable contractors to enhance company culture and locd expertise, increase and streamline management capabilities, level base the workload, and enhance employee relationships. Furthermore, in the labor area, the major motives for and benefits gained fi'om forming alliances are accessing local labor and increasing quality of work and 138 productivity. Finally, contractors form alliances because of some govenrnental factors, such as government requirennents, some political reasons, and bidding criteria as well. According to the results ofa study conducted by Price Waterhouse, 24% ofall US firms who exported construction services in 1982 and 1983 participated in joint ventures. The main reasons for participating in joint ventures were found to be the complex nature of the projects, the need to irncrease bonding capacity or enhance financing capabilities, and foreign govenment requirenents (Price Waterhouse 1985). For instance, Hofinan (1992) poirnts out that forming strategic partrneships with environmentaldesignfirmscanbeveyefl’ectiveasanentrystrategytothehazardous waste remediation market. He notes that the complenentary assets to be brought together through such partrneslnips will give a significant competitive edge in this growing market. Among all reasons and benefits noted above, the top four reasons for forming alliances in irnternational construction appear to be accessing technology, sharing risk, scarring financing, and entering new markets. The top four benefits, on the other hand, are enhancing competitive position, increasing market share, obtaining new work, and broadening client base (Badger, et al. 1993). Hence, technical and financial concerns appear to drive the formation of alliances in international construction; however, the major benefits gained seen to be marketing related. 4.5.2 Challenges in Alliances Firms face many challenges in their own independent operations; however, entering into an alliance brings additional and different challenges. The major challenge in entering an alliance is forming the “right” alliance. There are a lot of factors to be considered for the alliance to be successfirl and for the alliance partners to reach their 139 objectivesinenteingthealliance. InaCII study, some ofthesefactors were identified as duration arnd docnrmentation of the alliance, dificulties to be encountered, contributions of the partners, confidentiality, and assessment of rewards and risks (Badger, et al. 1993). Alliancesarenoteasyandmaytakeasignificarntarnountoftimetofonn. Hence, once formed, the expectation is for the alliance to last a long time. Contractually, an alliancemaybebasedoninformalageenents, suchasahandshakeorverbal commitment, or on complex legal contracts or both Due to the long tem nature and variety of contractual arrangenents, therewillbeanumberofdificultiesthatmustbeanticipated to be encountered. An alliance may be vey diflicult to maintain, manage and operate. Hence, great care and attention should be given to such possible dificulties before the alliance is formed. Furthermore, the identification of the contributions of each partner need to be clearly made. In the mutual relationship outlined by an alliance, all partners must contribute in some way for the alliance to be meaningful and successful. It should be realized that the alliance is formed in order to achieve objectives that the partners can not achieve by themselves. Confidentiality in the alliance is anothe serious challenge. The disclosure of critical information to the alliance partners need to be carefully evaluated. Disclosure of some proprietary information may be inevitable during the operation of an alliance. Thus, confidentiality of such information needs to be ensured so that it does not pose any serious problems in a relationship based on trust. Finally, assessment of rewards and risks is of critical importance. This may be true of all business decisions. However, in forming alliances, a firm is entering into a long-term relationship with another firm and making commitments at the same time which may be very hard and/or costly to break. Hence, 14o alternfiveneedmbewefirflyconsideedendthedsksasweatedwiththealfiance weighed against the potential benefits. Another major challenge, maybe the most critical one, which is related to the factors noted above as well as otlne's is selection of the partne(s). This is a critical challenge since evaluation of a potential partner needs to be done both on measurable or obse'vable and unobservable characteristics. The conduct and success of the relationship willbemostlybased onqualitativefactorssuchastrust,honesty, motivatiorn, ethics, and commitment. Since, once an alliance is formed, the partnes will have to live together for along time, the “fit” between them and clear undestanding of the expectancies of each fi'om the othe are very important. 4.5.3 European, Asian and American Philosophies Towards Alliances European, Asian and American contractors constitute the three major goup of contractors active in irntemational construction. There are, however, difl‘erences in their approaches to forming alliances (Badger, et al 1993). European contractors maintain the same key personnel in the alliances they form. In other words, key personnel from European contractors who are involved in the alliance are not replaced in a couple of years. Europeans emphasize establishment of trust between the partners in an alliance. Establishment of trust is a long process where trust is deve10ped tlnrough interactions between the partners. Hence, continuity of key personnel helps to develop and strengthen the level of trust between the partners. Moreover, open criticism or candor is not well accepted by Europeans. European contractors also tend to give their site manages a lot of autonomy, responsibility and authority to operate. Furthermore, they are very willing to change the way they do business when necessary. 141 European contractors are also vey willing to form relationslnips and collaborate with other contractors. For instance, as Jashapara (1992) notes, joint venture is the most fiuitful mode of entry to penetrate the French market. Most European contractors tend to besmaHmddneyenhanceflnerleveageandmekepowethroughcoflabomfingwith each other. Collaborative ventures involving three or more partners are also not exceptional among European contractors. For instance, the mega project of the building of the Channel Tunnel involved a trans-European consortium comprised of five British and five French construction comparnies (ENR, May 2 1994). Legal documentation and litigation issues are not too much of a concern for European contractors. They “rely more on human relationships and less on complex legal documentation” (Badger, et al 1993, p.4-6). Alliance relationships are based on mutual trust and long-term commitment of the partners. The philosophy of the Asian contractors towards alliances exhibits some similarities to the European philosophy, but also has some unique aspects. The difl‘erences between the Asian and Western cultures are reflected in how Asian contractors view alliances. For Asian contractors, an alliance should be based on mutual trust and respect (Sidwell, Metzinger and Tucker 1988). The alliance is seen as a long-term commitment and treated as such. Asian contractors select their partners using criteria based on personal relationships more than anything else. They also value hierarchy, formality and patience in their interactions. This is also evidenced in their approach to negotiations which is comprehensive and long paced. Badger, et a1 (1993) also note that Asian contractors have a strong cooperative goup orientation and dislike direct confrontation. The time spent and the expenses 142 involved in developing an alliance are not seen as being unnecessary or as waste of mourcaMmMubehgabwhtdyneceurymesmbfislungasoundandlongtem relationship. Alliances have been an integral part of all areas of business in Asia. Keiretsu in Japan and chaebol in Korea are the outstanding examples illustrating how alliances have been integrated into the Asian business culture. Not surprisingly, the Asian contractors are vey willing to form alliances and collaborate with other contractors. In addition to intenational alliances, Asian contractors are also vey willing to form domestic alliances either on a long term or project-by-project basis. Similar to the Europeans, but more so, Asian contractors consider establishment of mutual trust more important than a contractual agreement. Minimum amount of documentation is used in defining the alliance terms. Badger, et al (1993) have obseved that “Asian alliance contracts are typically only a one page letter of understanding which primarily defines mutually agreed upon joint goals for the alliance” (p.4-13). On the other hand, as the results of the Badger, et al (1993) study point out, the American philosophy towards alliances sharply contrasts with those of the Europeans and Asians. The formal and individualistic business style of the American contractors is very different fiom the European and Asian styles. American contractors prefer to rely on formal and detailed contractual ageements which are vey well spelled out covering all possible contingencies. They are very disturbed if an alliance lacks such a formal framework and is mostly based on mutual trust and commitment. This is a result of the high level of litigation concerns and the directness prevalent in the American style of business. Open criticism and direct confi'ontation are very well accepted and exercised by 143 the Ameicans. Moreover, Ameican contractors tend not to be patient and want to get right into business in their interactions during and after negotiations. Moreover, forming alliances is not necessarily the preferred mode of doing business for the American contractors. They would rather go alone or acquire or merge with the potential partnes. Hence, American contractors tend to form alliances more out ofnecessity rather than delrberately seeking then. The turnover ofAmeican expatriates at construction sites also tends to be rather high which disrupts the continuity of key personnel. This hampers the development of trust and understanding which requires continuity of interaction between the partnes’ personnel involved in the alliance. Moreover, the autonomy and authority given to the oveseas manages of American contractors tend to be vey limited. American contractors appear to be delimited by some industry paradigns in their approaches to alliances. Badge, et al (1993) have identified nine such paradigns in their study on alliances in intenational construction which are listed below: 1. Lack of trust 2. Resistance to slnaring irnforrnation 3. Competitive spirit 4. Adversial relationship(s) 5. Lack of long-tem commitment 6. A “US methods are always right “ attitude 7. Lack of delegation of authority 8. Direct style of communication 9. US dependency on excessive legal documentation (p.5-6). 144 Eachoneofthesenineparadignsisdetrimental foranallianceinits own right. In fact, each one describes exactly the opposite of the kind of paradign that should be prevalent in alliance formation and mairntenance. Most, if not alL of these paradigns are contrary to the kind ofindustry paradigns prevalent in Europe or Asia For instance, at the Construction Industry Presidents Forunn, Henry Michel identified parochialisrn of the US contractors as one of the barries to ovecome in the construction industry (Ihe American Institute of Constructors Newsletter 1993, 23 :3) Hence, breaking or changing these paradigns is crucial for American contractors to be more active and efl‘ective in the world of alliances. On the othe hand, it should also berecognizedthattlnisisnoeasytasktlnatcanbeaccomplishedinashorttime. Itis particularly hard in an industry that has been well entrenched domestically such as the construction industry in the US which operates irn a big domestic market. Old traditions may be hard to break or change. Thus, oveconning any resistance that is higlnly likely to be encounteed is the big challenge facing American contractors. The first step in this direction should be a clear recognition and appreciation of the global trend towards collaborations and formation of alliances in international construction. The potential benefits of such collaborations need to be clearly understood. In their study on Japanese-style partnerships, Dyer and Ouchi (1993) have concluded that US companies nwd to efi'ectively utilize partnerships and learn from the Japanese approach. Similarly, a clear undestanding of the factors efl‘ective in the formation and maintenance of alliances is needed. In this regard, one of the main conclusions of the Badge, et al (1993) study was the following: “One necessary prerequisite crucial to prospering in the firture irnternational construction “arena” will be a company’s awareness of the implications and ramifications in fornning alliances with foreign entities” (p.5-l3). 14S Badge, et al (1993) also state tlnat: “'l‘lneneedforcooperationandmutualtrustofthealliance partnes seemstobethe underlying “Intenational Implication” behind fornning alliances. In othe words, what we have observed as being practiced oveseas for many years, especially in Europe and the Pacific Rinn areas, is a spirit of coopeation and team-work between competitive construction firms and with their govenments. ...... if a US company is going to launch an efl‘ort to penetrate the irnternational construction domain, they would be well-advised to research also the criteria and conditions necessary to form an alliance” (p.5-l4). 4.5.4 The Future The future in intenational constnrction is clearly going to be even more competitive than it is today. Moreove, alliances among construction firms are going to be even more important in the international construction market. In othe words, forming well-structured alliances and maintaining them will be the key to renain competitive and sustain and increase market slnare. This is already evidenced by the increasing numbe of international alliances, consortia or othe forms of collaboration formed in entering irntemational construction contract bids. For instance, nine consortia bided on the project to finance, design, build and own a $4.1 billion rail link between the Channel Tunnel and London in the United Kingdom (ENR, May 9, 1994). The $1.5 billion motorway construction project in Turkey was carried out by the joint venture formed between the Bechtel Corp. of the US and Enka of Turkey (ENR, July 6 1992). Ebasco Services Inc. of the US has formed a jointly owned engineering company with a Chinese government agency to handle powe projects in China (151nm, June 21 1993). Another irntenational joint venture carried out the $1 billion hydroelectric project in Venezuela (ENR, January 3 1994). The Bechtel Corp. of the US and IPL of Canada signed an ageement to combine their efl‘orts in intenational markets 146 (ENR, June 28 1994). Such examples of collaborations are absolutely numerous and clearly show tlne definite trend toward formation of partrnerships to compete in irntenational markets. A related trend in the industry is the teannlike approach to projects. Owners and contractors age that teams bring more value. For example, five of the seven biddes for the expansion of the Chicago O’Hare Intenational Airport wee teams. The future of the construction industry lies in collaborative ventures. Such partnerships will cut down individual company profits, but will allow for the ability to gow and provide jobs at the same time. Moreove, ongoing alliances in particular regions are also vey likely to increase. For instance, a construction industry expert noted that some US contractors made ageements with some Finnish contractors to pursue work in Eastern Europe and Russia In this relationship, the Finnish bring in their experience and krnowledge of doing business in the ex-Soviet Union and Eastern Bloc countries, while the Americans bring in financial capabilities which the Finnish lack. Firms also form partrneships with others not only for a specific bid or project, but also for strategic or long-term objectives. For instance, the Takenaka Corporation which is a construction firm has partnered with The Architects Collaborative (TAC) which is an architectural firm to be able to ente new markets worldwide (ENR, Jan 5 1989). Similarly, Dresse Industries Inc. (a US firm) has formed a joint venture with Komatsu Ltd. of Japan with the objective of increasing sales and expansion in North and South America (Krizan 1987). Moreove, as a result of the emergence of large scale 147 construction projects, design firms have been partrnering with contractors to ente world markets (Reina arnd Hanan 1990). ThelongtemcompetitivenessofAmeicanfirmswilldependonhowthey respond to changing conditions in both domestic and foreign markets. Competition which is already tough will get toughe in projects whee unskilled labor is the main component. Contractors fiom many countries, irncluding NICs and developing nations, can now employ technologically based strategies tlnrough transfer of technology. Moreove, the US appears to be the lage in innovation while the European and Japanese contractors lead the way. Furthermore, government intervention in competition for international projects will continue. This may be either through providing aid to their domestic firms or through following policies aimed at protecting their home markets (US Congess, Ofice of Technology Assessment 1987). In short, it is an ea of new competition and the market conditions have changed. Staying alive and competitive requires recognizing these changes and adapting to them. As far as the US construction industry is concened, as Yates, Mukherjee and Njos (1991) state: “A complete revamping of the US outlook to the international construction industry and the infusion of innovative methods to win contracts is urgently needed” (p.60). CHAPTERFIVE SURVEY RESPONSES AND PROFILES 5.1 Survey Responses As noted in Chapte 3, the contractors included in the top 225 international contractors and the tap 400 (US) contractors listings published by ENR in 1993 constituted the survey sample in this study. Since some US contractors are included in both lists, when double counting was taken into account, the actual numbe of contractors included in the sample was 561. The total of surveys returned back was 120 resulting in an oveall response rate of 21.4%. Some characteristics of the survey response rates presented in Table 5.1 will be reviewed next. Before describing survey response rates, howeve, it is important to note the distinction between a returned survey and a usable survey. The forme simply refers to the fact that thee has been some kind of mutual correspondence with the respondent. Except the cases whee the respondent has notified the researche of not being inteested in participating in the study or where the respondents wee not located at their addresses, a survey has been returned by the respondents. Usable surveys, on the other hand, refe to those which have been fully completed by the respondents. The distinction between a usable and a not usable survey comes fiom the respondent‘s response to the last question in Section B of the questionnaire. The question asked the respondent whether his/he firm has "ever been involved in a collaborative venture with a foreign OR domestic partne". If the answe was "No”, the respondent was asked to stop and return the survey. If the 148 149 Table 5.1 Survey Response Rates US Contractors Non-US Contract. TOTAL I No Interest 4 1.0% 2 1.3% 6 1.1%] No Address 2 0.5% 3 2.0% 5 0.9%. No CV 36 8.8% 4 2.6% 40 7.1% Domestic CV 19 5 24 Intenational CV 15 30 45 Total CV Participation 34 8.3% 35 22.9% 69 12.3°/ CV Participation] Returned 44.7% 79.5% 57.5% TOTAL (received) 76 18.6% 44 28.8% 120 21.49’ Total sent out 403 100% 153 100% 561 100%] NOINTEREST: Thecontractorisnotinterestedinparticipatinginthestudy NOADDRESS: Thesurveyisreturnedwithoutbeingdeliveredduetoaddresschange NO CV: Thecontractorhas notbeen involvedinanycollaborative venture, domesticor international DOMESTICCV: Thecontractorhasreportedonacollaborativeventuretheyhavehad with another domestic contractor INTERNATIONAL CV: The contractor has reported on a collaborative venture they have had with a foreign contractors TOTALCV Thetotalnumberofsurveysretumedthatreportoneitheradomesticoran PARTICIPATION : international collaborative venture. These provide the data for hypotheses testing CV PARTICIPATION! The total number of surveys returned that report on a collaborative venture/The RETURNED : total # of surveys returrned TOTAL : The total number of surveys returrned 150 answer was ”Yes”, however, the respondent went on to complete the questionnaire in regards to a CV they had taken part in. The usable surveys are those whee the response to the above cited question was "Yes”. In that case, the respondents provided the requested information which constituted the primary data for the study. The bottom line is that the actual response rate to the questionnaire in terns of starting to complete it following the irnstructions, and returrning it when done was 21.4%. Howeve, of the total numbe of 120 surveys returned, only 69 wee usable in the sense described above which constituted 12.3% of the total sample. M93933; Of the 408 surveys sent out to US contractors only 76 wee returned resulting in a response rate of 18.6% for US contractors. The interesting point was that half of the responding firms indicated that they never had any collaborative ventures with eithe foreign or domestic firms. Hence, only 34 of the total of 76 surveys wee usable. In other words, almost half of the responding US contractors wee never involved in CVs. This resulted in a usable/retumed ratio of 44.7%. Moreover, of the 34 that were involved, more than half partnered with domestic contractors rathe than foreign contractors. h, Ngn-US Contractor}: Of the 153 surveys sent out to non-US contractors 44 wee returned resulting in a response rate of 28.8% for non-US contractors. The inteesting point hee is that the picture is completely opposite to what we saw with the US contractor response rates. First, the oveall response rate was much large in the case of non-US contractors. Second, only four contractors out of the 44 that responded reported that they neve were involved in any CV. On the othe hand, the numbe of 151 usable surveys wee 35 which resulted in a usable/retumed ratio of 79.5%. This ratio is almost twice that of US contractors. Third, of the 35 contractors that wee involved in a CV, only 14.3% lmd partneed with a domestic contractor and 85.7% had foreign partners. Hence, the response rates indicated that US contractors wee involved less in CVs and when they did they tended to have domestic partners more than foreign partners. On the other hand, the non-US contractors wee very much involved in CVs and tended to partne with foreign contractors. g, ngestig vs. Intgrnatigngl Q2; The split between domestic and interrnational CVs was not equal among the 69 CVs that were reported on by the respondents. There wee 24 domestic CVs and 45 international CVs in the data sample. In othe words, domestic CVs accounted for 34.8% and international CVs accounted for 65.2% of the CVs included in the analyses. 5. 2 Rapondent Profiles In this section, the profiles of the survey respondents are given. These are the contractors who have responded to the survey and reported on a collaborative venture they had participated in. As presented in Section 5.1, a total of 69 contractors were included in the study. Their profiles are presented next in Tables 5.2 through 5.10. Rank 2f Respgndgntg in ENR Listing; Table 5.2 presents the rank of the respondents in the top 400 and top 225 contractors listings of ENR. 34 of the respondents were among the top 400 US 152 Table 5.2 Number of Respondents in the ENR Rankings Top 400 US Contractors T011425 International Contractors Rank 11 % n % 1-50 5 14.7 9 22.5 5 1- 100 6 17.6 9 22.5 101-150 4 11.7 10 25.0 151-200 3 8.8 8 20.0 201-250 5 14.7 4 10.0 251-300 3 8.8 not relevant - 300 + 8 23.5 not relevant - Total 34 100.0 40 100.0 Mean 186.03 113.45 Std. Dev. 119.26 66.28 Median 195 1 15 Minimum 11 10 Maximum 372 225 Table 5.3 Total Billings of Respondents (in million USS) Range 11 % 0-100 17 25.0 101-1,000 32 47.1 1,001-10,000 15 22.1 10,000 + 4 5.8 Total 68 100.0 Mean 1,574.37 Std. Dev. 3,306.26 Median 208.65 Minimum 10 Maximum 15,4772 153 Table 5.4 Total International Billings of Respondents (in million US) Range 11 % 0 26 38.2 1-100 17 25.0 101-500 13 19.1 SCI-1,000 7 10.3 1,000 + 5 7.4 Total 68 100.0 Mean 244.28 Std. Dev. 493.21 Median 9.7 Minimum 0 Maximum 2,731 Table 5.5 Years in Business Range 11 % 0-25 12 17 .6 26-50 18 26.5 51-75 18 26.5 76-100 8 1 1.8 100 + 12 17.6 Total 68 100.0 Mean 66.24 Std. Dev. 51.48 Median 54.50 Minimum 8 Maximum 360 154 Table 5.6 Years of Involvement in International Contracts , Range 11 % 0 13 20.0 1-25 28 43.1 26-50 18 27.7 50 + 6 9.2 Total 65 100.0 Mean 23.4 Std. Dev. 22.53 Median 22 Minimum 0 Maximum 100 Table 5.7 Current Involvement in International Contracts 11 % 155 Table 5.8 Country of Origin of Respondents of n Bahrain 1 Brazil 2 Canada 1 Denmark 1 1 1 5 7 Korea 1 ' 1 l 1 Slovenia 1 ° 1 Taiwan 2 T 2 United 4 USA 35 Y 1 Total Table 5.9 Region of Origin of Respondents n % 35 50.7 16 23.2 12 17.4 6 8.7 69 100.0 Table 5.10 Whether Respondent is a US or Non-US Contractor n % US 35 50.7 Non-US 34 49.3 Total 69 100.0 156 contractors in 1993. About one third of these wee among the first 100 and about one third was among the last 100 contractors in that ranking. The highest rank among the respondents was 11th place and the lowest was 372nd place in the list. The median rank was 195 which is practically also the middle poirnt in the list. In othe words, the respondents represented all levels in the ranking of top 400 US contractors. Moreove, 40 of the respondents wee among the top 225 intenational contractors listing ofENR in 1993. The highest rank among the respondents was the 10th place and the lowest was 225th place. The median rank for this group was 115 which is also more or less the nnidpoirnt in the total list. Moreove, each ranking range of 50 corresponds to 22.2% of the total of 225. The numbe of respondents falling into each ranking range of 50 presented in Table 5.2 constitutes a comparable pecentage value. In othe words, the respondents are representative of all levels of ranking of the top 225 international contractors. Furthernore, it is important to point out that the total numbe of respondents in the two lists is 74 instead of 69 due to the fact that five US contractors were included in both lists. Tgtg Billings and Total International Billings The distribution of the total billings of the respondents is presented in Table 5.3. It is important to note that these reflect 1992 billings. A quarter of the respondents (25%) wee small contractors in terms of their total billings which were below 100 million USS. Similarly, more than a quarte (27.9%) were large contractors with total billings exceeding 1,000 million USS. Among these five of them were particularly large contractors with total billings exceeding 10,000 million USS. The average total billings of the respondents 157 was 1,574.37 million USS with the median set at 208.65 million USS. The minimum amount of total billings was 10 nnillion USS and maximum was 15,4772 million USS Table 5.4 presents the distribution of total international billings of the respondent contractors again for 1992. Nearly 40% of the respondents had no international billings and 25% had international billings of less than 100 million USS. About 20% had modeately high irnternational billings with the rest reporting intenational billings of ove 500 million USS. Ornly five contractors (7.4%) had a total of international billings irn excess of 1,000 million USS. The average international billings was 244.28 nnillion USS with the median set at 9.7 million USS. The minimum was set at zeo by those that had no interrnational billings and the maximum amount was 2,731 million USS. Y i i As presented in Table 5.5, on the aveage, the respondents wee in business for about 66 years. The youngest contractor was eight years old and the oldest one had been around for more than three centuries. An equal pecentage of the respondents constituted the youngest goup (less than or equal to 25 years old) and the oldest goup (more than a century old). There were 12 contractors in each goup. Y fInv m n in In rn ti n l ntracts urren Internation l W In temns of the years of involvement in international contracts, the respondents wee relatively less experienced with an average involvement of about 23 years. The data are presented in Table 5.6. One fifth of the respondents had had no international involvement at all, whereas, close to one tenth was pretty experienced having been involved in international contracts for more than 50 years. The majority (43.1%), 158 howeve, had been involved in intenational contracts for not more than 25 years. The most expeienced contractor among the respondents had one century's worth of experience in international contracts. As it can be seen in Table 5.7, close to 70% of the respondents also indicated that they wee currently involved in an international contract. 1' ri i ' N n s f R n 11 Tables 5.8 through 5.10 present the profile of the respondents in terns of their origin. Thee wee a total of 19 difl‘eent countries of origin of the respondents. A little ove 50% of these wee US contractors. The next largest group represented was the Japanese contractors which constituted 10.1% of the respondents. The European contractors constituted 23.2% and the Asian contractors constituted 17.4% of the respondents. The remaining 8.7% of the respondents wee from other regions of the world such as the Middle East, Latin America and Canada. Overall, nearly half of the respondents wee non-US contractors. 5.3 Partner Profiles Only nine of the partners of the contractors out of the total of 69 belonged to the sarnple used in the study. Hence, we were able to extract the ranks and billings information only for these nine cases. Two belonged to the top 400 US contractors list and wee ranked 35th and 142nd. The other seven belonged to the list of top 225 international contractors. These were ranked 1st, 28th, 31st, 38th, 59th, 70th and 94th in that list. 159 The total billings for these nine partne contractors ranged fi'om 158.1 to 23,6568 million USS. The intenational billings of these contractors ranged fi'om zeo to 15,172.6 million USS. Othe characteristics of the partrners described below and are presented in Tables 5.11 through 5.16. ri ’ ' f P Table 5.11 tlnrough 5.13 present the profiles of the partrners in the collaborative ventures included in the study in terms of their origin. The partne contractors represented 21 difl‘erent countries. More than one third of the partners wee fi'om the US. The othe countries that also represented relatively larger goups of partrne contractors were Gemany (8.8%), Italy (5.9%), arnd Japan (5.9%). Close to one third of the partners wee European contractors and Asian contractors as partnes constituted 17.6% of the respondents. The remaining 16.2% represented countries fi'om the Middle East, Latin America, Afiica, etc. Overall, close to two thirds of the partners in the collaborative ventures studied were non-US contractors. # 9f Employgs 2f Par_tner More than half of the partners were large contractors that had more than 1,000 employees. Furthermore, seven of these had more than 10,000 employees. On the other hand, 8.8% wee small with less than 100 employees and close to one fifih wee moderately large that had more than 100 but less than 500 employees. The data for the distribution of the partners in terms of the number of employees they had are presented in Table 5.14. 160 Table 5.11 Country of Origin of Partners of Australia Canada France Holland Indonesia Korea Mexico Russia Saudi Arabia S T n 3 l 1 2 6 3 2 4 4 l 3 l l 1 2 2 1 3 2 Table 5.12 Region of Origin 01' Partners In 24 21 12 ll 68 161 Table 5.13 Whether Partner is a US or Non-US Contractor n % US 24 35.3 Non-US. 44 64.7 Total 68 100.0 Table 5.14 it of Employees of Partner Contractors Range 11 % Less than 100 5 8.8 100-499 1 1 19.3 500-999 10 17.5 1,000-9,999 24 42.1 10,000 or more 7 12.3 Total 57 100.0 Table 5.15 Whether There Has Been Any Prior Transactions With The Partner 11 % Yes 30 44.8 No 36 53.7 Don‘t know 1 1.5 Total 67 100.0 Table 5.16 Likelihood of Doing Business Again Mean' Std. Dev. n Likelihood of your firm doing business with this firm again 4.076 1.127 66 Likelihood of this firm doing business with your firm again 4.169 1.054 65 " 1-5 scale, 1 = Very unlikely, 5 = Very likely 162 i h n As the data presented irn Table 5.15 indicate, more than half of the respondents had had some business transactions with their collaborative venture partrne prior to the collaborative venture. On the othe hand, for nearly 45% of the respondents, the collaborative venture was the first time they had business transactions with the partne contractor. Likglihmd 2f Dging Busing; Aggig The respondents wee also asked to rate their likelihood of doing business with their partne again as well as the likelihood of their partrne doing business with them in their opinion. As presented in Table 5.16, the mean values of the responses to these two questions were pretty high (more than 4.0). Hence, both firms appeared to be inteested in doing business with each othe again if the opportunity arises in the finture. 5. 4 Profiles of the Collaborative Ventures In this section, profiles of the collaborative ventures included in the study will be described and the various characteristics of the CVs will be presented in Tables 5.17 through 5.32. # 9f Firms in thg Q! As it can be seen in Table 5.17, a geat majority (72.1%) of the CVs analyzed included two contractors as partners. On the othe hand, a considerable portion of the CVs (16.2%) wee three partner collaborations. There wee also some CVs whee four or more firms partneed together. Thee wee even one 7-firm and one 10-firm partnership among the CVs studied. 163 Table 5.17 ll of Firms in the Collaborative Venture # of Firms n % 72.1 16.2 4.4 4.4 1.5 1.5 100.0 Table 5.18 Whether the CV is On-going or Not 11 % 24 36.9 41 63.1 65 100.0 Table 5.19 Project Timing (for completed projects only) n % Ahead of schedule 7 17.1 On schedule 22 53.7 1-6 months delay 5 12.2 7-12 months delay 2 4.9 1-2 years delay 1 2.4 More than 2 years delay 4 9.8 Total ‘ 41 100.0 Table 5.20 Whether Project Within Budget or Not (for completed projects only) In % Within 13 30.2 Over 30 69.8 Total 43 * 100.0 "' In addition to the 41 completed projects, two of the ongoing projects wee also found to be already over budget 164 Table 5.21 Project Location Australia Bahrain Canada China India Indonesia J Lesotho Mexico Morocco Saudi Arabia Taiwan Tanzania Thailand T Turkmenistan United Arab Emirates United U.S.A. Y Zambia Afiica Armenia, Georgia, .. K 1 l 'stan n l 3 l 1 l 2 1 l l 2 2 1 l 2 3 l 1 1 l 3 2 1 l l 1 l 2 2 pus—spurs— TOTAL 165 Table 5.22 Project Region lesion .. % North America 24 35.3 Europe 6 8.8 Asia 19 27.9 Middle East 7 10.3 Afiica 9 13.2 Latin America 3 4.4 Total 68 100.0 Table 5.23 Partner-Project Location Combination 11 Domestic in home 21 Domestic in ' 4 F ' in home 11 F ' in his 16 F ° in a third 16 68 Table 5.24 Project Owner '/e Local 56.5 Private ' 34.8 Government & ' 4.3 Othe 4.3 Total 100.0 Table 5.25 Whether Local Government Influenced the Relationship in the CV 11 % Yes 10 14.5 No 56 81.2 Don't krnow 3 4.3 Total 69 100.0 166 Table 5.26 Nature of Project 11 % Industrial/Petroleum 8 1 1.8 Manufacturingplant 4 5.9 Transportation 20 29.4 Powe 9 l3 .2 General Building 19 27.9 Sewerage/waste control 3 4.4 Wate 2 2.9 Othe 3 4.4 Total 68 100.0 Table 5.27 Type of General Building (only for general building projects) n % Oflice/ 9 56.3 Residential 1 6.3 ' 2 12.5 Prison 1 6.3 School 1 6.3 S 1 6.3 1 6.3 Total 16 100.0 Table 5.28 Form of Collaboration n % Joint venture 52 77.6 Consortium 11 16.4 Cooperative contract 3 4.5 Joint biddig 1 1.5 Total 68 100.0 167 Table 5.29 Type 01' Collaborative Venture n % 29 46.0 34 54.0 63 100.0 Table 5.30 Type of Work Done in the Project Construction and Maintenance T Construction ' of work Total Table 5.31 Type of Contract Bid 11 bid 38 bid 25 5 68 Table 5.32 Whether There Was Any Team Building Program 11 % Yes 10 14.9 No 57 85.1 Total 67 100.0 168 'n P ° r N More than one third of the 65 CVs for which the data wee available wee ongoing projects at the time of the study. The majority, howeve, wee completed projects. The data wee not available for four of the CVs included in the study. Table 5.18 presents the results. W Project timing information could be assessed for the completed projects and Table 5.19 presents the results. 7 out of the 41 projects (17.1%) wee completed ahead of schedule and 22 projects (53.7%) wee completed on schedule. The delayed projects wee delayed 1 month to more than two years. 1-6 months delayed projects constituted 12.2% of the completed projects. On the othe hand, almost 10% of the projects wee delayed more than two years. Projggt Within Budget 9r Not Budgetary performance of the CVs wee assessed for the 41 completed projects as well as two of the ongoing projects. The ongoing projects had already exceeded their budgets at the time of the study. Oveall, more than two thirds of the 43 projects for which the data could be obtained wee over their budgets. Pro' t Location R ion Tables 5.21 and 5.22 present the data about the location of the projects included in the study. The projects took place in 3 5 different countries plus an unidentifiable Afiican country. Most of the projects (33.3%) took place in the US. The othe countries whee relatively more projects took place at wee Australia (4.3%), Mexico (4.4%), and Saudi 169 Arabia (4.4%). More than one third of the projects (35.3%) took place in North America. The next largest project region was Asia with 27.9% of the projects. Latin America, on the othe hand, had the least amount of projects (4.4%) . 'n P . . n The combination of the country of origins of the partne firms and the project location was also assessed for the CVs included in the study. The results are presented in Table 5.23. In most of the projects (30.9%), the respondents had partrnered with anothe domestic contractor for a project in their home country. Partnering with a foreign contractor for a project eithe in his country or in a third country also appeared to be very common. The least common combination was partrnering with a domestic contractor for a project in a foreign country which constituted 5.9% of the projects. W Table 5.24 presents the data for the project owners. More than half of the projects wee owned by the local governments. Private enterprises wee the project ownes in 34.8% of the projects. Egg! Govgrnmgnt Influencg The respondents indicated that in the geat majority (81.2%) of the projects the local government did not influence their relationship with their partnes in any way. Such local govenment influence was present in about 15% of the projects. W The nature of the projects included in the study wee varied as the data presented in Table 5.26 indicate. Transportation and geneal building projects constituted the largest 170 groups in terns of project markets with the forme constituting 29.4% and the latte 27 .9% of the projects included in the study. These project markets wee followed by powe (13.2%) and industrial/petroleum (11.8%) project markets. The smallest project market among the projects studied was wate with only two projects that constituted 2.9% of the total. WEB Table 5.27 presents the distribution of the types of buildings built in the general building market. The type of building could be identified for 16 of the 19 geneal building projects. Among these 16 projects, ofice/garage building was the most common (56.3%) followed by hospital construction (12.5%). F ll 1 11 As the data presented in Table 5.28 indicate, joint venture was the most common forrn collaboration in the ventures studied. 77.6% of the CVs involved joint ventures. The next most common fornn of collaboration was formation of consortia which accounted for 16.4% of the CVs studied. W From a financial stand point, the CVs studied were more or less equally distributed among equity and non-equity CVs. Non-equity CVs were slightly more than equity CVs and accounted for 54% of the CVs. Table 5.29 presents the results. T12; 21' Wgrk Dgng in thg Projegt The type of work done in the projects were also varied as indicated by the results presented in Table 5.30. Projects that involved construction only accounted for the 171 majority of the projects (43.5%). The next most common types of work were design-build projects (17.4%) and turnkey projects (13.0%). On the othe hand, 14.5% of the projects involved multiple types of work. The least common types of work were operating and maintenance (1.4%) and design-build-operate (1.4%) which wee identified in only one project each 1' In B’ Table 5.31 presents the distn‘bution of the CVs in terms of the type of contract bid used. Open competitive bid was the most common type of contract bidding procedure followed which was the case in 55.9% of the CVs studied. Negotiated bids took place in 36.8 % of the cases. W In the geat majority (85.1) of the CVs studied, thee was no formal team building program to facilitate the relationship between the partners. Such programs wee identified in only 10 of the cases. CHAPTER SIX UNIVARIATE & MULTIVARIATE ANALYSIS Univariate and multivariate methods of analyses wee used to analyze the data and test the hypotheses. The results of these analyses are presented below. Moreove, Figure 2.1 which illustrates the proposed and tested theoretical model is presented hee again as Figure 6.1 for easy refeence. 6.1 UNIVARIAIE ANALYSIS AND RELIABHJTY OF THE CONSTRUCT MEASURES In this study, the proposed model for collaborative venture (CV) performance included fifteen constructs of interest. As stated in Chapte 3, the data for the model were collected through a survey instrument. Fifly eight items of the questionnaire wee designed to measure these constructs and test the proposed hypotheses. Based on the initial results of the reliability analyses of the construct measures, four items wee deleted and the total numbe of items used to measure the fifteen constructs was reduced to fifty four. The results of the univariate analyses of these measures and the reliability of the construct measures are reported next. The statistics reported are the statistical means, standard deviations and fiequencies of the fifty four items used to measure the constructs in the model. In Tables 6.1 through 6.15 these statistics are presented. Moreove, the computed Cronbach's alpha values used as the measure of reliability for each construct are reported at the end of each table. 172 173 mugcmmmm mMDFZm> EEO mar—400 Asoobm ... ( mUZgOmdmm gage u k .388. ..n use... ..e 9...»... 826m Been—em Em ‘7 558.5500 85.x ... 31> 2"— 0.9.9.6 ..m .ofibm .... Z.— .3225 174 Table 6.1 Effectiveness Measures ITEM Mean. Std. Dev. 11 The collaboration provided a very effective medium of learning for both firms 3.70 1.047 69 Both firms carried out their responsrbilities and commitments in this relationship 4.20 0.867 69 The collaboration met its objectives for both firms 4.19 0.902 68 T'heowner‘sobjectives(intermsd‘specifications, schedule, quality) were met 4.49 0.680 68 Cronbach's alpha - 0.672 ‘ 1-5 scale, 1 = Strongly disagree, 5 = Strongly agree Table 6.2 Efficiency Measures ITEM Mean” Std. Dev. 11 In geneal, resources were used very efliciently in this relationship 3.93 0.896 69 Oveall, the project was efiiciently carried out 4.10 0.866 68 Cronbach's alpha = 0.750 " 1-5 scale, 1 = Strongly Disagee, 5 = Strongly agee Table 6.3 Stability Measures ITEM Mean‘ Std. Dev. 11 Oveall, the working relationship in this partnership was stable 4.12 0.802 68 This partnership lasted as long as it was intended 4.49 0.859 67 Cronbach's alpha = 0.663 " 1-5 scale, 1 = Strongly disagree, 5 = Strongly agree 175 Table 6.4 Client Satisfaction Measures ITEM Mun‘ Std. D”. II At the completion of the project, the credibility of the project partrners was confirmed or enhanced in 4.29 0.776 62 the eyes of the owne The owne was not satisfied with the outcome of the project (R) 4.57 0.531 61 The owne was proud of the project at its completion 4.63 0.554 59 The owne peceived the partneship as one united team. 3.98 0.967 62 Cronbach's alpha - 0.780 "' 1-5 scale, 1 = Strongly disagee, 5 = Strongly agee R: Revese scale Table 6.5 Success Measures ITEM Mean. Std. DCV. ll Our strategic objectives going into the venture wee achieved 4.34 0.940 68 The venture was profitable for our firm 4.23 1.107 66 We reget getting into this venture (R) 4.53 0.969 68 Collaborating with this partne in this project was a wise business decision 4.35 0.877 68 Cronbach's alpha - 0.837 "' 1-5 scale, 1 = Strongly disagree, 5 = Strongly agee R: Revese scale 176 Table 6.6 Overall Performance Measures ITEM Mean” Std. Dev. 11 The collaboration provided a very efl‘ective medium of learrning for both firms 3.70 1.047 69 Both firms carried out their responsibilities and comrrnitrnents in this relationship 4.20 0.867 69 The collaboration met its objectives for both firms 4.19 0.902 68 The owner’s objectives (in terms of specifications, schedule, quality) wee met 4.49 0.680 68 In general, resources wee used very efficiently in this relationslnip 3.93 0.896 69 Oveall, the project was efliciently carried out 4.10 0.866 68 Overall, the working relationship in this partneship was stable 4.12 0.802 68 This partneship lasted as longas it was intended 4.49 0.859 67 At the completion of the project, the credibility of the project partnes was confirmed or enhanced in 4.29 0.776 62 the eyes of the owne The owne was not satisfied with the outcome of the project (R) 4.57 0.531 61 The owner was proud of the project at its completion 4.63 0.554 59 ITEM Mean' Std. Dev. 11 The owne peceived the partnership as one united team 3 .98 0.967 62 Our strategic objectives going into the venture were achieved 4.34 0.940 68 The venture was profitable for our firm 4.23 1.107 66 We regret getting into this venture (R) 4.53 0.969 68 Collaborating with this partner in this project was a wise business decision 4.35 0.877 68 Cronbach's alpha = 0.913 " 1-5 scale, 1 = Strongly disagee, 5 = Strongly agee R: Revese scale 177 Table 6.7 Structural Fit Measures ITEM Mun‘ Std. D“. II The orgarnizational values and social norms prevalent in the two firms wee conguent 3.26 1.080 69 Technical capabilities of the two firms wee compatible with each othe 3 .75 1.049 69 The organizational procedures of the two firms wee compatible 3.33 0.995 69 Employees of both firms had similar professional or trade skills 3.48 1.009 69 Cronbach's alpha 8 0.755 ‘1-5 scale, 1 = Strongly disagee, 5 = Strongly agee Table 6.8 Strategic Fit Measures ITEM Mean. Std. D“. II Executives fiom both firms involved in this project had compatible philosophies/approaches to business 3.67 1.010 69 dealings Each partner enabled the othe to reach strategic objective(s) that it could not reach alone 3.91 1.134 69 The goals and objectives of both firms wee compatible with each othe 4.09 0.781 69 The resources brought into the venture by both partnes wee complementary 4.15 0.809 69 Cronbach's alpha = 0.627 "' 1-5 scale, 1 = Strongly disagee, 5 = Strongly agee 178 Table 6.9 Partner Fit Measures ITEM Mean‘ Std. Dev. 11 Both partners were vey suitable for each othe 4.12 0.832 69 Thee was a poor match between the two firms 4.37 0.976 68 The chernistry was right between the two firms 3.81 0.944 69 Cronbach's alpha - 0.744 "' 1-5 scale, 1 = Strongly disagee, 5 = Strongly agee Table 6.10 Commitment Measures ITEM Mean' Std. Dev. 11 Both firms made several adaptations in their processes and/or procedures to bette satisfy each 3.52 0.949 69 other‘s needs Both firms wee willing and/or actively seeking for a substitute to replace each other's place 4.65 0.783 69 Both firms wee willing to dedicate whatever people and resources it took to make this project a 4.15 0.809 69 success Both firms provided experienced and capable people to the project 4.16 0.868 69 Both firms wee committed to making this project a success 4.54 0.698 69 Cronbach's alpha - 0.716 "' 1-5 scale, 1 = Strongly disagee, 5 = Strongly agee 179 Table 6.11 Value of Resource Measures ITEM Mean‘ Std. Dev. n Both firms needed each other's resources to accomplish their goals and responsibilities 4.07 0.967 68 The resources contributed by both firms wee significant in getting the bid 4.12 1.015 68 Resources brought into the venture by each firm wee vey valuable for the othe 4.07 0.935 68 Cronbach's alpha =- 0.778 " 1-5 scale, 1 = Strongly disagee, 5 = Strongly agee Table 6.12 Interdependence Measures ITEM Mean‘ Std. Dev. n Ifthe relationship between the two firms was terminated, both firms would sufi‘e significantly 3.28 1.282 69 One of the two firms (or both) could easily replace the othe with anothe firm (R) 3.49 1.133 69 Eithe of the firms could easily leave the partnership at any time (R) 4.12 1.086 68 Both firms absolutely needed each othe for the project 3.37 1.280 68 Cronbach's alpha = 0.671 "' 1-5 scale, 1 = Strongly disagee, 5 = Strongly agee R: Revese scale 180 Table 6.13 Trust Measures ITEM Mean' Std. Dev. 11 Both firms wee pefectly honest and truthful with each othe 3.87 0.969 69 Both firms treated each othe fairly and justly 4.12 0.850 69 Relyingon each othe was risky for bothfirms(R) 4.06 1.110 69 Both firms found it necessary to be cautious in dealing with each othe (R) 3.78 1.083 69 Both firms had established reputations for trustworthiness 4.23 0.910 69 Cronbach's alpha 8 0.799 * 1-5 scale, 1 = Strongly disagee, 5 = Strongly agee R: Revese scale Table 6.14 Communication Measures ITEM Mean“ Std. D”. II Thee was frequent communication between the two firms (e.g. visits to each other's firms, 4.36 0.822 69 meetings, written and telephone communications) Exchange of information in this relationship took place fi’quently and informally 4.25 0.775 69 Overall, people fi'om both firms found it hard to communicate with each other (R) 4.09 1.040 69 Making contact with people fi'om the othe firm was hard for both firms (R) 4.32 0.781 68 Problems between the two firms tended to get worse before they discussed them (R) 4.22 0.895 68 Both firms kept each othe well informed about their operations 3.80 0.797 69 Cronbach's alpha =- 0.721 " 1-5 scale, 1 = Strongly disagee, 5 = Strongly agree R: Reverse scale 181 Table 6.15 Balanced Power Measures ITEM Mean' Std. Dev. 11 Decisions regarding the project wee made unanimously in joint meetings with managers fiom 4.03 0.977 68 both firms Both partnes had equal potential to irnfluence each othe 3.59 1.102 69 Powe in this relationship was equally distributed between the partners 3.33 1.245 69 Eithe you or your partne dominated the decisions regarding the project (R) 3.24 1.294 68 Cronbach's alpha = 0.860 *1-5 scale, 1 = Strongly disagree, 5 = Strongly agee R: Revese scale 6.1.1. Effectiveness For this construct, data are presented in Table 6.1. All of the items had pretty high mean values which indicated, on aveage, that the managers were in agreement about the efl‘ectiveness of the collaborative ventures (CVs) they reported on. Meeting the project owner‘s objectives had the highest mean value (4.49). On the othe hand, the CVs included in the study wee less effective in providing an efi‘ective medium of learrning for both partners in comparison to other aspects of effectiveness. Oveall, the results suggest that the CVs were efl‘ective in terms of their perfornnance. The four items resulted in an alpha value of 0.672 as the reliability measure. Hence, four items wee used to measure CV effectiveness. 182 6.1.2. Efficiency Two itensweeusedtomeasureCV efliciencyandbothhadhighmeanvaluesas presented in Table 6.2. Of these, overall eficiency of the project had a slightly lnighe mean value than that of eficient use of resources in the collaboration. Hence, overall, the manages reported that the CVs wee eficient in terms of their performance. The alpha value computed for eficiency was 0.750 which was measured by two items. 6.1.3. Stability As presented in Table 6.3, two items wee used to measure this construct both of which had high mean values. In particular, managers reported that their partneslnips lasted as long as they wee intended. The results also suggest that, oveall, the working relationships between the partners in the CVs studied wee stable. The alpha value computed for CV stability measured by two items was 0.663. 6.1.4. Client Satisfaction This construct had four items as its measures all of which had high mean values. Two of them wee particularly high (more than 4.5) indicating that the ownes wee (a) proud of the project upon its completion, and (b) satisfied with the outcome. Although the othe two items had relatively lower mean values, the manages also agreed that the project owner‘s peception of the credibility of the project partners was confirmed or enhanced and they peceived the partneship as one united team. The results are presented in Table 6.4. 183 Hence, oveall, the results suggest that the CVs pefonned well enough to satisfy the project ownes. The measures wee found to be reliable as indicated by the alpha value of 0.780. 6.1.5. Success Four itens wee used to measure managers' peceptions of CV success. All four itens had high mean values (more than 4.2). Managers strongly indicated that they did not regret getting irnto the CV (mean = 4.53). Moreove, the results suggest that the responding contractors achieved their strategic objectives they had for going into the venture and that the collaboration was a wise business decision. Oveall, the ventures had also been profitable for the responding contractors. All in all, as the data in Table 6.5 indicate, the managers perceived the CVs as being successful. The four items used to measure the success of the CV also resulted in a high alpha value of 0.837 as the reliability measure. 6.1.6. Overall Performance The sixteen items related to CV effectiveness, efficiency, stability, client satisfaction and success were also gouped together to constnrct an overall measure of CV performance. The data are presented again in Table 6.6 which represent the data presented in Tables 6.1 through 6.5. As it can be seen in Table 6.6, all of the items had high mean values with the smallest one being at 3.70. Howeve, the items with the five largest mean values indicate that the manages strongly agreed that (a) the owner was proud of the completed project 184 and satisfied with its outcome, (b) they did not reget getting irnto the venture, (c) the ownes' objectives wee met at the end of the project, and (d) the partrnership lasted as longasitwasirntended. It is also interestingto notetlnatbothoftheitensrelatedto CV eficiency wee among the ones with the least mean value among all sixteen items. The oveall performance measure had a very high reliability as indicated by its alpha value at 0.913. 6.1.7. Structural Fit For this construct, all four items had avenge values of more than 3 .0 as presented in Table 6.7. The compatibility of the technical capabilities of the partne firms had the highest mean value followed by similar skills of both firms' employees. The othe two items had smalle mean values that indicated moderate ageement among the manages for the conguency of the organizational values and social norms prevalent in the partner firms and compatibility of the organizational procedures. Hence, compatibilities of the capabilities of the partners tended to be more than their organizational compatibilities. The alpha value for the measure of the structural fit construct was 0.755. 6.1.8. Strategic Fit The construct for strategic fit was measured with four itens as presented in Table 6.8. The complementarity of the resources brought into the venture by both partnes had the highest mean value (4.15) followed by that of the compatibility of the partne finns' goals and objectives. The compatibility of the philosophies of the executives fiom both firms involved in the project had the least mean value (3.67). Although these four items 185 resulted in a relatively low alpha value of 0.627, this measure of reliability was deened to be acceptable for the purpose of this research. 6.1.9. Partner Fit Three items wee used to measure the partne fit construct that refers to the "fit” between the CV partners. As presented in Table 6.9, among these three items, the one indicatingthattheewasnotapoornnatchbetweenthe partneshadamuchhighemean value (4.37) than the othe two. Results also suggest that managers ageed upon the suitability of the CV partnes for each othe. The item with the least mean value (3.81) referred to the existence of the right chemistry between the partners. The oveall reliability measure of Cronbach’s alpha for the partne fit construct was 0.744. 6.1.10. Commitment The commitment construct was measured by five items whose data are presented in Table 6.10. The reverse coded item for the willingness and/or intent of both firms to seek for a substitute to replace the othe one had the highest mean (4.65) indicating that neithe party wanted or tried to replace the other one in the CV. The second highest mean value (4.54) was for the commitment of both partners to make the project a success. The least mean value was obtained for adaptations made by both firms to better satisfy each other's needs. The othe two items that dealt with the human and othe resources provided to the venture by both firms had relatively high mean values (about 4.0). The reliability measure of Cronbach’s alpha was found to be 0.716. 186 6.1.11. Value of Resource Three itens wee used to measure this construct whose data are presented in Table 6.11. These itens dealt with the partnes' need for each other's resources, the importance of these resources in winning the project bid and their value for each othe. All of these had lnigh mean values (about 4.0). Hence, the results suggest that managers ageed on the value of resources contributed to the venture by each partrne. The Cronbach’s alpha for this construct was computed to be 0.778. 6.1.12. Interdependence Intedependence was measured by four items as presented in Table 6.12. Among these, the revese coded item measuring the ease of leaving the partneship at any time for either partrne had the highest mean value (4. 12). The othe three items wee on the criticality of the relationship for both firms, substitutability of each partne and the need of each partrne for the othe. These had moderately high mean values (about 3 .3). Overall, the results suggest that intedependence of the CV partnes was not very high. The computed alpha value for this construct was 0.671. 6.1.13. Trust For this construct, data for the five items used are presented in Table 6.13. Among these, partnes' reputation for trustworthiness, fair and just treatment of each othe, and the revese coded item for riskiness of reliance on the othe partne had aveage values of 4.0 or more. How honest and truthful the partners had been with each othe and the revese coded item of necessity to be cautious in dealing with the partner had relatively 187 enaflemeanvalueebuttheydsoindicatedmmeageenentanwngthemumgesThe calculated alpha value for the trust construct was 0.799. 6.1.14. Communication Six itens wee used to measure this construct and their data are presented in Table 6.14. Frequency of commurnication and the revese coded item of ease of contacting people fiom the partne firm wee the two items with the highest means. Thee also appeared to be agreement among the managers about the fi'equency of exchange of information and the revese coded item related to the evolution of problems between the partners. The othe two items also had reasonably high mean values indicating furthe ageement among the managers regarding extent and ease of communication between the partners. The Cronbach’s alpha value computed for this construct was 0.721. 6.1.15. Balanced Power The balanced powe construct was measured by four items and their statistics are presented in Table 6.15. As it is evident from the table, unanimous decision making in the project in joint meetings with manages fiom both partners had the highest mean value (4.03). The results suggest that the managers moderately age on the othe three items which have smalle mean values. These relate to the partnes' potential to influence each othe, distribution of powe in the relationship, and one-sided domination in decision making. The Cronbach’s alpha for this construct was pretty high which was computed to be 0.860. 188 Table 6.16 presents a summary of the reliability measures of the fifteen constructs. The Cronbach’s alpha values for these constructs range fi'om 0.627 to 0.913. Oveall, the alpha values are consideed to be satisfactory for the purpose of this research (Nunnally 1967). One inteesting obse'vation is that the alpha value for the oveall CV performance measure is much highe than those of the five measures referring to difl‘erent dimensions of CV peformance. 6.2 PEARSON CORRELATION COEFFICIENTS Thee are six dependent constructs in the proposed model which are oveall peformance (PALL), effectiveness (PEFFE), efiiciency (PEFFI), stability (PSTAB), client satisfaction (PSATI), and success (PSUCC). The Pearson correlation coeficients between each of these and each of the six relationship constructs, namely partne fit (PARTFIT), commitment (COMMIT), intedependence (INTER), trust (TRUST), communication (COMMON), and balanced powe (BALPOW) are presented in Table 6.17. All of the predictor constructs except intedependence wee significantly correlated with all six dependent constructs. Intedependence was significantly correlated with only overall performance, efl‘ectiveness and stability. The correlations will be reviewed for each performance construct next. 1, meal] Pgrfprmangg; All of the relationslnip constructs except intedependence wee associated with oveall performance at 0.01 level of significance. Intedependence was sigrificantly correlated with overall performance at 0.05 level. Commitment appeared to be the most correlated with overall performance followed by partne fit and trust. Interdependence, on the othe hand, had the smallest correlation. 189 Table 6.16 Construct Measures and Their Reliabilities # OF CRONBACH'S CONSTRUCI‘S SCALE ITEMS ALPHA Oveall Peformance PALL 16 0.913 Efl‘ectiveness PEFFE 5 0.672 Eficiency PEFFI 2 0.750 Stability PSTAB 2 0.663 Client Satisfaction PSATI 4 0.780 Success PSUCC 4 0.837 Structural Fit STRUFIT 4 0.755 Strategic Fit STRAFIT 4 0.627 Partner Fit PARTFIT 3 0.744 Commitment COMMIT 5 0.716 Value of Resource VALRES 3 0.778 Irntedependence INTER 4 0.671 Trust TRUST 5 0.799 Communication COMMUN 6 0.721 Balanced Powe BALPOW 4 0.860 190 3... v .. ... Seam : ...... v .. ... saga :. ...saeeoaseeeeaeoesaéeeseaaeo . :39... £38.... .....8... :3... ......8... ......n... .321... note.— noose—am ..smmnd aasouvd ass—wed scab—m6 ..anmd a..8md AZDE—ZOUV sewage—.8599 :33... ......R... 55... 2:32. .52.... :38... £35.. ...—ah. «a... mum... :82. 2.... :SN... ......3... 857... ooeoeeoeonno.=_ :25... :88... :33... :18... :33... .5. .5... Ezzou. gee—5.85.5 ..envmd ...... seemd sssvmmd seamen .o .... ... mend aaaobwd E¢O mPZH—U—mhmcu 203353560 29933: 5.9 03:. . 191 MA]! of the relationship constructs except intedependence wee significantly associated with efl‘ectiveness at the 0.01 level. Intedependence was significantly correlated with efl‘ectiveness at the 0.05 level. Commitment had the highest correlation followed by balanced powe and partne fit. Irntedependence was the least correlated with efi‘ectiveness. 3, Effigiengy; With the exception of intedependence, all of the relationship constructs wee significantly correlated with eficiency at the 0.01 level. Irntedependence, on the other hand, had a pretty low level of correlation (r=0.177) and was not significantly correlated with eficiency. Among the othe five constructs, comnnitrnernt had the highest correlation followed by partne fit and trust. 4, Sta piling Intedependence was correlated with stability at 0.05 level of significance and the othe five constructs wee correlated at the 0.01 level of significance. Trust had the highest correlation followed by balanced powe and partne fit. Intedependence was the least correlated evidenced by its relatively low significance level. 5, Client Satisfaggion -, All of the relationship constructs except intedependence wee significantly correlated with client satisfaction at the 0.01 level. Correlation between intedependence and client satisfaction, on the other hand, was not significant. Among the constructs, commitment had the highest correlation followed by partne fit and trust. QM; All of the constructs except interdependence were significantly correlated with CV success at the 0.01 level. Intedependence, on the othe hand, was not significantly correlated with success. Partne fit had the highest correlation followed by 192 connnnitrnent and trust. Despite significant correlations, the correlation coeficients between the relationship constructs and success wee relatively low compared to those for the other five peformance constructs. In addition to the relationships proposed between the six relationship constructs in the model and the six perfornnance constructs, thee wee some othe proposed relationships in the whole model. These wee between (a) strategic and structural fit with partne fit, (b) value of resource, trust, communications and intedependence with commitment, (c) communication with trust, and (d) interdependence with balanced powe. The results of the Pearson correlation analyses for these relationships are described next. g, Pgrtng; Fit; Both structural fit and strategic fit wee found to be significantly correlated with partrne fit at the 0.01 level. The Pearson correlation coeflicients are presented in Table 6.18 below. Both structural and strategic fit had moderately high correlation coeficients which wee also very close to each othe. Table 6.18 Pearson Correlation Coefficients - Partner Fit Structural Fit Strategic Fit it! tit Partner Fit 0.544 0. 554 *” Significant at p < 0.01 h, ngmitment -, Value of resource, trust and communication wee significantly correlated with commitment at the 0.01 level. Intedependence, howeve, was significantly correlated with commitment at the 0.05 level. Among the four constructs, trust had the 193 highest correlation coeficient with comnnitrnent followed by communication. Irntedependence was the least correlated as evidenced by its lowe significance. The Pearson correlation coeficients between commitment and the mentioned constructs are presented in Table 6.19 below. Table 6.19 Pearson Correlation Coefficients - Commitment Value of Resource Trust Communications Intedependence Commitment 0.376’" 0.516’“ 0483”" 0.261" *" Significant at p < 0.01 " Significant at p < 0.05 my, Commurnication was found to be significantly correlated with trust at the 0.01 level. The correlation coeficient between these two constructs was modeately high. The Pearson correlation coefiicient is presented in Table 6.20 below. Table 6.20 Pearson Correlation Coefficients - Trust Communication Trust 0554"" "" Significant at p < 0.01 g, Bglgnggg Pgwgr', Intedependence was found to be significantly correlated with balanced powe at the 0.05 level. The correlation coefficient between these two constructs was not high despite its significance. The Pearson correlation coefficient between balanced powe and intedependence is presented in Table 6.21 below. 194 Table 6.21 Pearson Correlation Coefficients - Balanced Power Intedependence Balanced Power 0.286" " Significant at p < 0.05 6.3 MULTIPLE LHVEAR REGRES'SION In orde to finrthe investigate the relationship between the relationship constructs and the CV performance constructs, multiple linear regession analysis was used (Goldbege 1964, Kennedy 1985). First, the six peformance constructs wee individually regessed on the six relationslnip constructs that wee the model predictors. The dependent variables wee overall peformance (PALL), efl‘ectiveness (PEFFE), emciency (PEFFI), stability (PSTAB), client satisfaction (PSATI), and success (PSUCC). The linear regession equations tested were of the following form: Dependent varb. = Constant + BIPARTFIT + 132COMMIT + B31NTER+ B4 COMMUN + B, TRUST + B,BALPOW The results including the regession coemcients and the F-tests are presented in Table 6.22 and described below. Equation 1 - Overall Performance The overall performance construct was regessed on the six relationship constructs. The oveall linear model was significant at p<0.01 and explained 64% of the variance. All of the beta weights had a positive sign, howeve, not all were significant. 195 ... ... .. 388.»... 8... ... Essen... : ...... 3 8855.5 ... 55.65828... ae.fineoe§e§e8..oo . 88... ..8..... 88... ....8... 88... 88... ... .....ME 8... 8... 3.... 8... 8.2 2.8 ... 2m... 8.... an... 3...... Sn... .8... 9. 8.3.3.. 8.... 2m... 8m... 8m... 8m... .8... 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