w (”um-{2 W {3 WK ’ L7,?“ CMOJE: gagglj‘i 3‘55 \S \‘ AUG 2 3' 2003‘ ABSTRACT AN ANALYSIS OF CONSUMER MARKET SEGMENTATION IN RESPONSE TO AN INSTITUTIONAL INNOVATION IN THE FOOD INDUSTRY by David Lee Appel The history of retailing in the United States has been a dynamic one as retailing has continually adapted to keep pace with the times. The process of change is accomplished by the introduction and adoption of institu- tional innovations, such as the mail-order house and the supermarket. In spite of the importance of the institu- tional innovation, however, little is known about the actual success of consumer acceptance responsible for the success, or failure, of a new type of retail outlet. The objective of the study was to learn more about the process of adoption with respect to a selected insti- tution. To accomplish the task, the study investigated the segmentation of the consumer market resulting from the introduction of a one-stOp shopping center into a market PEBViously served by two conventional supermarkets. Although several other purchase decision areas were studied, the mwhlthrust of the research was on the purchase of food. David Lee Appel A research instrument was designed to provide a measurement of consumers on three key dimensions of shop- ping behavior: (1) Socio-Economic Characteristics; (2) Purchase Motivation; and (3) Purchase Behavior and Patron- age Loyalty. The purchase motivation variables were clas- sified as convenience, economicanui,promotional variables. The variables were analyzed according to the major source of supply for food chosen by the family unit, i.e., either the one-stop shopping center.or the conventional super- market. In addition, the research studied the extent to which behavior patterns carried over to other types of shopping, and analyzed earlier and later adopters of the one-stop shopping center to identify any changes in the responsive segment of the market. The field research involved the administration of the research instrument to 159 family units in a selected area of Lansing, Michigan, which was broadly representative of different social classes, income levels, age groups, and housing types. Each of the housing units in the re- search area was located within a five minute driving time of the one-stop shopping center and several conventional supermarkets. The data was analyzed using both bivariate and multivariate techniques. Both techniques indicated that the one-stOp shopping center served a distinct, and readily identifiable, segment of the consumer market. David Lee Appel The bivariate analysis indicated that the segment of the market responsive to the one—stop shopping center was composed primarily of younger families with children under ten. The purchase motivation and purchase behavior of the responsive segment was not found to be different from non-responsive segments. The one-stop shopping cen- ter customers did exhibit a higher degree of related pur- chase behavior, however. In addition, the one-stop shop- ping center shoppers were found to be heavier users of mail-order shopping than conventional supermarket shoppers. Bivariate analysis of the data with respect to the time of adoption failed to show a significant differ- ence between earlier and later adopters of the institu- tional innovation. There was some evidence that the earlier adopters were from lower social classes, had lower incomes, and had lower levels of formal education, but the data was inconclusive. The multivariate analysis resulted in distinct patterns emerging for the one-stop shopping center cus- tomers and the conventional supermarket customers. Com- bining fourteen research variables into convenience, ec0r nomic and promotional variables indicated that the one- stop shOpping center customers were more interested in the convenience and economic aspects of shopping, while con- ventional supermarket customers were more interested in the promotional aspects. AN ANALYSIS OF CONSUMER MARKET SEGMENTATION IN RESPONSE TO AN INSTITUTIONAL INNOVATION IN THE FOOD INDUSTRY By David Lee Appel A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF BUSINESS ADMINISTRATION DePartment of Marketing and Transportation Administration 1968 ,-. - - 37.47%"? COpyright by DAVID LEE APPEL 1968 I \ \ ._hl. - I-w ACKNOWLEDGMENTS The completion of the dissertation presents an Opportunity to reflect on the results of several years of effort, and express sincere appreciation for the guidance and support of the many persons instrumental in the com- pletion of the doctoral program generally, and the disser- tation effort specifically. The research reported in the dissertation was made possible through the financial support of The Sperry and Hutchinson Company. The generous research grant made available to the author is part of a continuing effort by The Sperry and Hutchinson Company to promote research of interest to the academic-and business communities alike. The author sincerely appreciates the support given by The Sperry and Hutchinson Company and the food industry gen- erally over the last few years of the author's education. In particular, the author wishes to express his‘ gratitude for the contributions of the following persons: Dr. Bernard J. La Londe, Professor of Marketing and_Transportation, Michigan State University, as Chairman of the Committee which guided the research, has contributed substantially to the final work. Dr. La Londe's ideas, iii comments and suggestions provided both motivation and direction as the research progressed from proposal to completion. An invaluable resource, he has contributed greatly to the author's professional and personal develop- ment, both before and during the research effort, and his generosity in time and effort is sincerely appreciated. Dr. Donald J. Bowersox, Associate Professor of .Marketing and Transportation, Michigan State University, for hiscontributions as a member of the dissertation com- mittee, and especially for his guidance in the original formulation of the problem and selection of the research area. Dr. Thomas A. Staudt, Professor and Chairman of the Department of Marketing and Transportation, Michigan State University, for his contributions as a member of the dissertation committee, as well as his support and encour- agement throughout the author's doctoral program. The late Dr. Edward A. Brand, Professor of Market- ing at Michigan State University for many years. Dr. Brand's friendship, guidance and support during the author's early-years at Michigan State University strongly influenced the author's choice of a professional career. Finally, to Judith Anne for her contributions both large and small during the last year which have helped to make the culmination of the doctoral degree a reality. iv TABLE OF CONTENTS ACKNOWLEDGMENT O O O 0 O I O O O O O O O O 0 O 0 LIST OF TABLES O O O 0 O O O O O O 0 O O O O 0 0 LIST OF FIGURES . O O 0 O I o 9 O O O O O O O O 0 LIST OF APPENDICES O O O O C O I O C O O O O 0 0 CHAPTER I. II. III. PROBLEM DELINEATION. . . . . . . . . . . Nature of the Problem. . . . Background of the Problem. Sc0pe of the Problem . . . Statement of the Problem . Hypotheses . . . . . . . . Methodology. . . . . . . . Potential Contributions of the Limitations of the Study . . . Organization . . . . . . . . . 00w000000 (D 00m0‘00000 (D 0093000000 H SHOPPING BEHAVIOR AND INNOVATION . . . . The Concept of Market Segmentation . . General Merchandise Shopping Behavior. The General Nature of Shopping . . . The Central City vs. the Shopping Center . . . . . . . . . . . . . . Department Store vs. Discount House. Food Shopping Behavior . . . . . . . Progressive Grocer' s "Annual Report" "The Supermarket Industry Speaks". Burgoyne Index Study . . . . . . . Other Relevant Research. . . . . . Innovation and the Adoption Process. Summary. . . . . . . . . . . . . . . RESEARCH DESIGN. . . . . . . . . . . . . Research Design Framework. . . . . . . Identification of Variables. . . . . Independent Variables. . . . . . . . Page iii viii xiv XV CHAPTER Page Dependent Variable . . . . . . . . . . 71 Related Variables and Additional Analysis . .L. . . . . . . .~. . . . . 73 Questionnaire Objective. . .~. . . . . . 74 Sample Selection . . . . . . . . . . . . . 75 Sample Source. . . . . . . . . . . . . . 75 Selection of Research Area . . . . . . . 76 Selection of Specific Households . . . . 77 Interviewer Selection and Household Contact Procedures . . . . . . . . . . . 81 Interviewer Selection. . . . . . . . . . 81 Contacting Household Units . . . . . . . 82 Administrative Procedures. . . . . . . . 83 Data Collection. . . . . . . . . . . . . . 85 Analysis of the Data . . . . . . . . . . . 86 Data Preparation . . . . . . . . . . . . 86 Computer Programs. . . . . . . . . . . . 87 Definition of Terms. . . . . . . . . . . . 89 IV. PRESENTATION OF FINDINGS . . . . . . . . . . 94 Socio-Economic Variables . . . . . . . . . 96 Family Income. .7. .9. . . . . ... . . . 97 Age of the Household Head. . . . . . . 97 Occupation of the Household Head . . . . 98 Family Size. . . . . . . . . . . . . . . 99 Level of Formal Education. . . . . . . . 100 Family Life Cycle. . . . . . . . . . . . 101 Social Class . . . . . . . .y. . . . . . 101 Summary. . . . . . . . . . . . . . . . . 102 Effectiveness of Selected Elements in an Institution's Marketing Mix. . . . . . . 103 Price. . . . . . . . . . . . . . . . . . 104 Quality. . . . . . . . . . . . . . . . . 106 Trading Stamps and Promotional Games‘. . 109 Coupons and Price Specials . . . . . . . 112 Private Label Merchandise. . . . . . . . 114 Summary.'. . . . . . . . . .-. . . . . . 115 Purchase Behavior and Patronage Loyalty. . 116 Number of Stores Shopped . . . . . . . . 117 Concentration of Purchases . . . . . . . 117 Average Size of Customer Order . . . . . 120 Number of Shopping Trips . . . . . . . . 120 Distribution of Purchases by Day of Week 0 0'0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 121 Summary. . . . . . . . . . . . . . . . . 122 Related Purchase Behavior. . . . . . . . . 123 Convenience Goods. . . . . . . . . . . . 123 Shopping Goods . . . . . . . . . . . . . 124 vi CHAPTER Page Specialty Goods . . . . . . . . . . . . . 125 Catalog Shopping. . . . . . . . . . . . . 126 Summary . . . . . . . . . . . . . . . . . 129 Characteristics of Adopter Family Units . . 130 Socio~Economic Characteristics. . . . . . 131 Effectiveness of Selected Elements in an Institution's Marketing Mix . . . . . . 133 Purchase Behavior and Patronage Loyalty . 136 Related Purchase Behavior . . . . . . . . 137 Other Significant Findings. . . . . . . . . 138 Summary of Other Significant Findings . . 155 V. SUMMARY AND CONCLUSIONS . . . . . . . . . . . 157 General Summary of the Study. . . . . . . . 157 Evaluation of the Hypotheses. . . . . . . . 157 Socio-Economic Characteristics. . . . . . 160 Effectiveness of Selected Elements in an Institutional Marketing Mix . . . . . . 162 Purchase Behavior and Patronage Loyalty . 165 Related Purchase Behavior . . . . . . . . 166 Characteristics of Adopter Family Units . 169 Multivariate Analyses and the Guiding Hypotheses. . . . . . . . . . . . . . . . 172 Major Conclusions . . . . . . . . . . . . . 176 The One-Stop ShOpping Center as an Insti- tution's Innovation . . . . . . . . . . 176 The Customer Mix of the One-StOp Shop- ping Center . . . . . . . . . . . . . . 178 The Adoption of the One-Stop Shopping Center. . . . . . . . . . . . . .‘. . . 182 Implications of the Research for Retail Management. . . . . . . . . . . . . . . . 183 Market Segmentation . . . . . . . . . . . 183 Growth. . . . . . . . . . . . . . . . . . 185 Competitive Strategy. . . . . . . . . . . 188 Implications for Consumer Behavior ResearChO O O O O O O I O O O O O O O O O 191 Implications for the Adoption Process . . . 192 Suggested Areas for Further Research. . . . 194 APPENDICES. O O 0 O I O O O O O o O O O O O O O O O O O 198 BIBLIOGMPHY O O O O O O O O O I O O O O O O O O O O 0 27s vii LIST OF TABLES Table Page 2-1 Food Chain Margins, Expenses and Net Pro- fits for Selected Years . . . . . . . . . . 43 2-2 Five Year Trend in Sales and Prices of Merchandise Distributed Through the supermarket O O O O I O O O p O I 0 O O O 9 O 4 5 2—3 Grocery Stores Using Trading Stamps as Reported by Progressive Grocer Magazine . . 46 2-4 Trading Stamp Usage Among Supermarket Insti- tute Members for Selected Years . . . . . . 47 2-5 Supermarket Institute Members Engaged in Food Discounting Through Discount Houses and/or Discount Supermarkets. . . . . . . . 48 2-6 Number of Stores ShOpped to Purchase Food . . 49 2-7 Number of Shopping Trips Per Week to Pur- chase Food. . . . . . . . . . . . .0. . . . 50 2-8 Determining Factors in Supermarket Selection Mentioned First by Consumers. . . . . . . . 52 2-9 Trading Stamp Saving Behavior Reported for Consumers by Burgoyne Study . . . . . . . . 53 2-10 Effect of Trading Stamps on Prices as Per- ceived by Consumers . . . . . . . . . . . . 54 2-11 Consumer Preference for Trasing Stamps vs. Lower Prices. . . . . . . . . . . . . . . . 55 3-1 Research Variables. . . . . . . . . . . . . . 72 4-1 Summary Table of the Size of Family Units Shopping in Each Type of Store. . . . . . . 100 4-2 Average Percent of Shoppers Correctly Pricing Food Products . . . . . . . . . . . . . . . 106 viii ‘1.— _1 73%: Table Page 4-3 How One-StOp Shopping Center Customers Rated the Quality of Groceries, Meat and Produce for the One-StOp Shopping Center and Con- ventional Supermarket Customers Rated the Quality of Groceries, Meat and Produce in the Conventional Supermarkets . . . . . . . 108 4-4 Percentage of Each Type of Shopper Redeeming Manufacturer "Cents-Off" Coupons. . . . . . 113 4-5 Number of Stores Shopped by Each Type of Shopper I O O O O O O O O O O O I O O O O 0 ll 8 4-6 Percentage of Each Group of ShOppers Con- centrating at Least Seventy-Five Percent of all ShOpping in One Store. . . . . . . . 119 4-7 Purchase of Merchandise by Mail for Family Units Shopping in Each Type of Store. . . . 127 4-8 Purchase of Merchandise by Mail for Adopters of the One-Stop Shopping Center . . . . . . 137 4-9 Percentage of Women Who Drive Family Car. . . 140 4-10 Percentage of Women Who Have Cars Available During the Day. . . . . . . . . . . . . . . 141 4-11 Who Accompanies Housewife on Food Shopping Trip. 0 O O O O O O O O O O O O O O O O O O 142 4-12 Manufacturer "Cents-Off" Coupon Usage Patterns 0 O O I O O I O O O I O O O I O O O 143 4-13 Percentage of WOmen Adopting the One-Stop Shopping Center Having Car Available During Day 0 O O O O O O I O O O O O 0 O O O O O O 144 4-14 Number of Cars Available per Family for Adopters Family Units . . . . . . . . . . . 145 4-15 Simple Correlation of Research Variables With First Preference Store. . . . . . . . . . . 153 5-1 Summary of Findings for Individual Research Variables Using Bivariate Analysis. . . . . 173 ix Table A-1 A-lO A-ll A-12 A-13 Page Income of Family Units Shopping in Each Type of Store . . . . . . . . . . 200 Age of the Household Head for Family Units ShOpping in Each Type of Store . . . 201 Occupation of the Household Head for Family Units Shopping in Each Type of Store . . . 202 Size of Family Units Shopping in Each Type of Store . . . . . . . . . . 203 Level of Formal Education for Family Units Shopping in Each Type of Store . . . 204 Stage in the Family Life Cycle for Family Units Shopping in Each Type of Store . . . 205 Social Class of Family Units Shopping in EaCh Type OfStOI'e 0 0 0 0 0 0 0 0 0 0 '. 206 Price Awareness of Family Units Shopping . in Each Type of Store for Selected Items . 207 Quality Image of Groceries, Meat and Produce in the One-Stop ShOpping Center by Family Units Shopping in Each Type of Store . . . . . . . . . . . . . . . . . 212 Quality Image of Groceries, Meat and Produce in Conventional Supermarket No. 1.by Family Units Shopping in Each Type of Store . . . . . . . . . . . . 214 Quality Image of Groceries, Meat and Produce in Conventional Supermarket No. 2 by Family Units Shopping in Each Type of Store . . . . . . . . . . . . 216 Amount of Selected Trading Stamps Saved by Family Units Shopping in Each Type of Store . . . . . . . . . . . . . . 218 Number and Value of Gifts Received Through Trading Stamp Redemption by Family Units ShOpping in Each Type of Store (12 Month Period) . . . . . . . . . . . . 220 Table Page A-l4 Awareness of Promotional Contests and Games by Family Units Shopping in Each Type Of Store 0 O O . O O O O I O O O O O O O O O 221 A-15 Redemption of Manufacturer "Cents-Off" Coupons by Family Units Shopping in Each Type of Store (One Month Period) . . 222 A-16 Value of Manufacturer "Cents-Off" Coupons Redeemed by Family Units ShOpping in Each Type of Store (One Month Period) . . 222 A-l7 Number of Advertised Specials Priced Correctly by Family Units Shopping in Each Type of Store . . . . . . . . . . 223 A-18 Number of Private Labels Recognized by Family Units ShOpping in Each Type Of Store 0 I O O O O O O O O 0 O O O 0 O O 224 A-19 Awareness of Two Private Label Brands in First Preference Store by Family Units Shopping in Each Type of Store . . . . . . 225 A-20 Number of Stores Shopped for Food by Family Units ShOpping in Each Type of Store 0 O O O O O O O I O O O O O O O O I 225 A-21 Concentration of Purchases for Selected Produce Categories by Family Units Shopping in Each Type of Store . . . . . . 226 A-22 Average Food Bill per Shopping Trip for Family Units Shopping in Each Type OfStore O O O O O O O O O O O I O O O O O 227 A-23 Number of Trips to Purchase Food by Family Units Shopping Each Type of Store . . . . 227 Ar24 Purchases by Day of Week for Family Units Shopping in Each Type of Store . ... . . . 228 Ar25 Where Family Units Shopping in Each Type of Store Stated They Would Purchase Selected Convenience Goods . . . . . . . . 229 Ar26 Where Family Units Shopping in Each Type of Store Stated They Would Purchase Selected Shopping Goods . . . . . . . . . . 231 xi Table Page A-27 Where Family Units ShOpping in Each Type of Store Stated They Would Purchase Selected Specialty Goods . . . . . . . . . 233 A-28 Mail-Order Catalogs in Homes of Family ‘ Units Shopping in Each Type of Store . . . 235 A-29 Value of General Merchandise Ordered by Mail for Family Units Shopping in Each J Type of Store (3 Month Period) . . . . . . 236 A-30 Value of Special Merchandise Ordered by Mail for Family Units Shopping in Each Type of Store . . . . . . . . . . 236 A-3l Income of Family Units AdOpting the One-Stop Shopping Center . . . . . . . . . 237 A932 Education of the Male for Family Units Adopting the One-Stop Shopping Center . . 238 A-33 Stage in the Family Life Cycle for Family Units Adopting the One-Stop Shopping Center 0 O O O O O O O 0 O O O O O O I O O 239 A-34 Social Class of Family Units Adopting the One-Stop Shopping Center . . . . . . . . . 240 A-35 Number of Gifts from Trading Stamp Redemption for Family Units Adopting the One-Stop Shopping Center (12 Month Period) . . . . . . . . . . . . 241 A—36 Redemption of Manufacturer "Cents-Off" Coupons for Family Units Adopting the One-Stop Shopping Center (12 Month Period) . . . . . . . . . . . . 241 A237 Awareness of Two Private Labels Featured in the one—StOp Shopping Center by Family Units Adapting the One-StOp Shopping center 0 I O O O O O O O O O O O O I O O O 242 Ar38 Concentration of Purchases in Selected Product Categories for Family Units Adopting the One-Stop Shopping Center . . 243 xii — HI Table Page A-39 Number of Trips to Purchase Food for Family Units AdOpting the One-Stop Shopping center 0 O O O O O O O O O O O O O O O O I 2 44 A-40 Mail-Order Catalogs in Homes of Family Units Adopting the One-Stop Shopping center 0 0 0 0 0 0 0 0 0 '0 0 0 0 0 0 0 0 0 245 C-1 Summary of Field Interviewing. . . . . . . . 272 C-2 Number of Calls to Complete the Interi viewing. . . . . . . . . . . . . . . . . . 272 C-3 Refusal to Take Part in Research . . . . . . 273 C-4 Family Units Not-At-Home . . . . . . . . . . 273 C-5 "Other" Reasons for Not Taking Part in Research . . . . . . . . . . . .y. . . . . 274 C-6 Summary Table of Non-Respondents . . . ... . 274 xiii LIST OF FIGURES Figure 3-1 Location of Research Area and Retail Stores 3-2 Flow Chart of Interview Contact Process 4-1 Position of Group Centroids in Discriminant Function Space Using Fourteen Variables . xiv Page 0 O 78 . . 84 . . 151 LIST OF APPENDICES Appendix Page A. Detailed Research Findings Pertaining Specifically to Chapter IV . . . . . . . . 199 B. Letter of Introduction, Interviewer Instructions, Research Questionnaire and Family Recall Charts . . . . . . . . . 246 C. Summary Data on Responding-and Non Responding Family Units . . . . . . . . 270 XV CHAPTER I PROBLEM DELINEATION The primary objective of the research is to invesé tigate consumer market segmentation by use of socio-eco- nomic characteristics, purchase motivation, and purchase behavior to determine the responsiveness of consumers to institutional innovations in the field of food retailing. Nature of the Problem Background of the Problem The history of retailing in the United States is a history of competition and change. As the social envi- ronment has changed, retailing has continually adapted in an effort to serve changing consumer needs. With the deé velopment of mass—production and mass-markets across the nation, retailing entered the era of mass-distribution to link mass-markets with a mass-production capability. The changing structure of distribution in the United States has been studied by numerous scholars. Schumpeterl writes that certain new institutions operate in such a manner that their influence in retailing is felt far beyond their actual number. The type of in- stitution that he refers to is an "institutional innova- tion" that completely disrupts the status quo in the exist- ing retail system and forces change. The institutional innovation creates what Schumpeter calls the "competition that matters" because the new type of institution enters the market place with new methods of selling and new cost- sales relationships. As he points out, "In the case of retail trade, the competition that matters arises not from additional shops of the same type, but from the department store, the chain store, the mail-order house and the supermarket . . ."2 Tallman and Bloomstrom discuss this same process of creative destruction in an article on retail innovations.3 According to Tallman and Bloomstrom, "Retail innovations of importance . . . have been the development from 1870 to 1890 of the early forms of the now 'traditional' department 1Joseph Schumpeter, Capitalism, Socialism and De- mocrac , Second Edition (New York: Harper and Brothers,* I947). 21bid0 I. F0 850 3Gerald Tallman and Bruce Bloomstrom, "Retail In- novations Challenge Manufacturers" in Ronald Gist (editor), Mane ement Pers ectives in Retailin (New York: John Wiley an Sons, InCo, ( pp0 " 0 store, of general merchandise mail-order selling (1890- 1910), of the variety and food chain stores (1910-1930), and the food supermarket after 1930. Each of these major «retail innovations, when first developed, offered customers lower prices than were generally available through prev- iously existing channels. Each, with time has traded up the quality of its service, and with this its operating expenses and margin."4 Both references discuss a more or less definitive cycle in American retailing which McNair has labeled the "Wheel of Retailing."5 According to McNair, the wheel revolves, sometimes quite fast and at other times extremely slow, but always moving. The cycle begins with a bold, new concept, or innovation, for a new type of distributive institution. The new institution starts out as a low- status, low-margin, low-price Operation. As it matures, however, the process of "trading-up" continually occurs, resulting in higher margins and prices. Finally, a mature institution emerges with high margins and prices. At this stage in the cycle, another institutional innovation ap- pears and the wheel turns. 41bid., p. 68. 5M. D. McNair, "Significant Trends and DevelOpments in the Postwar Period, " in A. B. Smith (editor), Competi- tive Distribution in a Free, High Level Economy andIIts Implications for the Un1vers1ty_(P1ttsBurgh: University 0 P1ttsburgh Press,l958), pp. 1-25 at pp. 17-18. Also see Stanley C. Hollander, "The Wheel of Retailing," Journal of Marketing, July, 1960, pp. 37-42. Numerous examples of institutional innovations and the wheel of retailing theory exist in American retailing. The department store, the mail-order house, the chain store, and the supermarket all started out as low—margin,low-price institutional innovations replacing higher cost methods of retailing. Each has traded up, resulting in higher margins and prices. Each is now vulnerable to new institutional ; innovations which may arise. The fact that this process of creative destruction occurs is well known, but the dynamic process of change ‘ itself has not been closely studied. In hindsight, it can be seen that the department store, the mail-order house, the chain store, and the supermarket did gain consumer acCeptance, causing them to grow and prosper. Other in- stitutional innovations, lacking this consumer acceptance, have failed to achieve a place in American retailing. fiope of the Problem The institutional innovation is generally disting- llishable from conventional institutions. 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Him manda 73 Of the research, the following broad definitions were developed:3 Conventional Supermarket.--A large integrated food store Offering groceries, meat, dairy, produce and frozen food, Operating primarily on a self-service basis, and having an annual sales volume of at least one million dollars. One-Stop Shopping Center.--A lowered-margin inte- grated shopping center Offering both a wide line of general merchandise and a complete supermarket under the same roof and Operating with a lower gross margin , than conventional general merchandise and food outlets. 1 1 Related Variables and Additional Analysis In addition to the independent and the dependent Variables, a number of related variables were also studied in the research. The related variables examined identified She extent of carry over in consumer purchase behavior. Specifically, the research identified the extent to which consumer food purchasing behavior carried over into four other purchase decision areas. The areas Selected for the research were (1) convenience goods purchase decisions, 3The definitions used here are a conglomerate of definitions from several sources and have been constructed especially for the research. 74 (2) shOpping goods purchase decisions, (3) specialty goods purchase decisions and (4) mail-order shopping. Finally, the entire range of independent variables studied was reanalyzed for those consuming units selecting the one-stOp shOpping center as their primary source Of supply for food. The independent variables were studied in relation to the time at which the individual consuming units adopted the one-stop shopping center as a primary source of supply. The purpose of this additional area of the research was to see if any of the independent variables could readily identify the earlier adOpters of the insti- tutional innovation, and learn how the adopters Of the institution have changed over time. Qpestionnaire Objective The questionnaire develOped for the research, and contained in Appendix B, was designed to investigate the extent to which market segmentation has occurred due to the introduction of an institutional innovation into a specific geographic area. The questionnaire contained four specific sections which investigated the areas of (1) food purchase behavior, (2) purchase motivation, (3) related purchase behavior, and (4) socio-economic characteristics. The questions were all formulated to stress recent purchase decisions and purchase behavior since it was believed that recent and actual behavior was the best measure that could be used in light of existing time and money considerations. ~44 .‘ Ob. On. I .se' 4;. :‘n I (I) 75 The questionnaire was also structured to develop additional information on the consuming units reSponsible for the acceptance of the one-stop shopping center. Through analysis of the data, the market segments responsible for the original acceptance of the new institution and its con- tinued growth can be analyzed in detail to identify any shift in responsive market segments that has occurred over the last eighteen months. Sample Selection Sample Source Prior to selecting a sample and testing the hypo- thesis, a relevant population for the research had to be defined. After preliminary investigations of a number of cities in the midwest, the community of Lansing, Michigan and environs, a metropolitan area of about 200,000 total population, was selected for the research. A two step selection process was used in the re- search. In the first step, the specific geographic area tO be used in the research was selected. In the second step, a sample Of housing units was systematically drawn from the research areas to arrive at the actual sample of respondents to be interviewed in the research. Each step in the sample selection process is covered in detail below. 76 Selection of Research Area The research was concentrated in a geographic area located at the western edge Of the Lansing, Michigan Stand- ard MetrOpOlitan Statistical Area.4 The area was selected due to the two decision criteria previously set up. First, extremely diverse conditions existed within the area.‘ Vis- ual Observation confirmed the fact that extreme variability in housing types, social class, life cycle and income could all be found in the research area. Secondly, all housing units within the research area were located within approximately a five minute driv- ing time to both the one-stop shopping center and several conventional supermarkets. The concentrated aspect of the research area controlled the variable of distance, since it has been shown to be such a critical variable in select- ing a source of supply for food.5 The specific area in which the research was con- ducted is the area bounded on the north by the Grand River, on the east by the Lansing city limits, on the south by 4For further information see: U.S. Bureau of the Census, U.S. Census Of PO ulation and Housin : 1960, Census Tracts, Final Report PHC (IS-73 (U.S. Government PrintIng Office, Washington, D. C., 1962). 5For other variables affecting trading areas and drawing power see: Bernard J. La Londe, Differentials in Supermarket Drawin Power (E. Lansing, Michigan:. Bureau of Business and Economic Research, College of Business and Public Service, Michigan State University, 1962). 77 West St. Joseph Street, and on the west by Creyts Road. The research area was approximately three miles long and two miles wide. The research area and location of the retail institutions are shown in Figure 3-1. Selection of Specific Households The selection of the actual housing units to be interviewed in the research was accomplished by a two-phase process. The first phase required an enumeration of housing units. The second phase then randomly selected the actual housing units to be included in the sample and interviewed for the research. Each phase is covered below. The first phase in selecting specific housing units to be interviewed in the research required a complete enu- meration of all housing units in the research area. Two different techniques were required to complete the enumera- tion. Approximately fifty percent of the research area is enumerated in the 1967 edition Of R. L. Polk's City Direc- tory-Lansipg, Michigan.6 Using the Citprirectory, an enumeration of all housing units located in the research area was generated according to street addresses. 'Since the first half of the research area has very little, if any, new housing starts there was no serious updating problem. 6R. L. Polk, Polk's Lansing (Ingham County, Mich.) City Directory (Detroit, Michigan: R. L. Polk and Company, 9 7 . N Hmnfioz poxumsuomom Hmcofiuom>coo .m H HOQEOZ umxumeuomsm Hmooeucm>ooo .N Hoodoo mcwmmosm moumumqo .H mmmoaw AHdBmm 924 4mm¢ mUm¢flmmm m0 ZOHBGUOA HIM HMDUHW bk 79 After checking numerous sources, it was apparent that no such list existed for the other half Of the research area. In addition, this half of the research area had quite a few new houses which were either under construction, or had recently been occupied. Consequently, a more detailed method of enumeration had to be used. A recent street map‘ of the entire area was obtained and each street was system- atically enumerated according to street address by visual Observation. The procedure resulted in an exact enumeration of all occupied housing units in the area. By combining the street address listings arrived at by each technique, a complete enumeration of all housing units within the research area was achieved. The master list contained three thousand five hundred and seventy-two street addresses. The second phase was to select the actual housing units to be interviewed in the research from this master List of housing units. The desired sample was to be com- posed Of two hundred housing units. This sample was then randomly drawn from the master list of all housing units in the area through the process Of sequential sampling. The final sample was systematically drawn through the use of a "skip interval" and randomly chosen starting point. The skip interval is a number, arrived at by divid- ing the number Of housing units in the research area by the number of housing units to be interviewed. The random 80 starting point is a number between one and the designated skip interval and is selected from a table of random num- bers. The methodology guaranteed the random selection and geographic dispersion of the sample from the research area. For example, if there were thirty six hundred hous- ing units in the relevant pOpulation and a sample of two hundred was desired, the skip interval would be eighteen. The skip interval means that every eighteenth house would be systematically selected. The starting point for select- ing the sample would be determined by randomly selecting a number between one and eighteen. Starting with the selected number, every eighteenth housing unit wOuld be selected for inclusion in the sample. In the actual selection procedure the designated skip interval turned out to be seventeen. The result was two hundred and ten housing units being selected for inclu- sion in the sample. Ten housing units were then randomly dropped from the selected sample, resulting in a final sample Of two hundred housing units. The two hundred street addresses were then designated as the actual sample to be used in the research. The housing units selected by the skip interval procedure and dropped were designated as al- ternates. None of the alternates were used. Prior to interviewing the selected sample, the survey instrument was pre—tested to insure that the ques- tions were properly worded to Obtain the desired information. .- I J 000' sun I “s' I .3“ Hi5: II+. «...: ‘v J b.’ ‘ Fag 6‘» ‘BA‘ ‘ugp new ‘I‘A ~..§J 7?: 6“e ‘1 i “Gin. 81 The data gathered during the pretest was not included in any Of the statistical analysis or findings. The sole pur- pose Of the pretest was to check the effectiveness of the measuring instrument. In light of the information gained during the pretest two questions were changed slightly. Interviewer Seleption and Household Contact Procedures Interviewer Selection All interviews completed for the research were taken by a staff of interviewers recruited, selected, and trained specifically for the research. Interviewers were recruited through a research interviewing service in the Lansing area. After selecting eight interviewers to be used in the study a group training session was held. The purpose of the training session was to acquaint the inter- viewers with the general purpose Of the research and famil- iarize them with the survey instrument to be used. Training included discussion of the prOper way to run an interview, how to ask and record questions, and how to probe for needed information. After the interviewers had been thoroughly briefed on each question contained in the survey instrument, the technique of "role playing" was used to similate the actual interview situation. R Ivo- pa. “vi Ag;- 48'»- ‘ 4%. V \I A I ~‘l ‘\‘ . t. i- b 82 ContactingHousehold Units The research pOpulation on which the study was based contained three thousand five hundred and seventy-two housing units. From the population a sample Of two hundred hOusehOlds and ten alternates were randomly selected for the study. The Objective of the interviewing was to con- tact as high a percentage of the actual sample as possible and use the alternates only if less than seventy-five per- cent of the actual sample cooperated in the research. The study results are based on responses from one hundred and fifty nine (159) housing units, or seventy-nine and a half percent (79.5%) Of the original sample. All housing units were contacted by the interviewers a minimum of five times before they were considered non- respondents. Five attempts resulted in one hundred and sixty-one (161) completed interviews. Two (2) of these completed interviews were later drOpped from the analysis due to a number of 'nonsense' answers the respondents had given. Of the thirty-nine (39) interviews that were not completed, twenty-three (23) were contacted but refused to be interviewed without giving a specific reason for the refusal. Nine (9) other housing units were designated as non-respondents when the interviewers had failed to contact anyone at the home after four "call-backs." One (1) housing unit turned out not to be actual family unit. Two (2) ..- . “vi 1"“! Vi. 83 housing units failed to respond due to illness in the fam- ily. Three (3) other housing units refused to be inter- viewed since they had moved into the Lansing area within the last month and felt they had not yet developed any shopping patterns. Finally, one (1) of the housing units had recently been zoned differently and was at the time a commercial establishment. Figure 3-2 and Appendix C detail the breakdown of respondents and non—respondents. Figure 3-2 is a flow chart of the contact process as it occurred in the research. Appendix C analyzes the location of the non-respondents and the reason for not taking part in the research. Administrative Procedures All housing units asked to participate in the re— search were originally contacted at their home by the in- terviewers perSonally. Each interviewer carried a letter of introduction to show the respondent, should some question as to the authenticity of the study arise. The letter is contained in Appendix B. At the start of interviewingperiod, each inter- viewer was assigned fifteen to twenty housing units to be contacted. Each survey instrument contained the street address to be contacted, directions on how to find the spe- cific street address, and a control number for accounting purposes. After each attempted interview, the interviewer 84 oomswmm H ommOmmm m panamom e venomom NH venomom ma @803 um uoz m msom um uoz ma mmuoameoo N ooumamfiou Md OBOE um #02 wv ooumamsoo Hm 850: um uoz HOH omumamfiou me com mo meow omuoameou om poemuua sum haemuua sue adamuua cum uasmuua cam. pasmuua awe memoomm eoaezoo smH>mmezH mo amaze zoom Nlm WMDme '0‘. N». Na - v.4: 85 was required to enter the day, time, and results (i.e., completed, not-at-home, etc.) on the cover of the survey instrument. If, after two attempts, no contact had been made with the housing units, the interviewers were instructed to check the name on the mailbox, or check with a neighbor to. (Mytain it, and then call to set up a specific time for the :hrterview. In all cases four "call-backs" were attempted before a housing unit was designated asa non-respondent. In each case this included both a Saturday call and an evening call. The original packets of fifteen to twenty surveys assigned to each interviewer were based on a geographical distribution to minimize travel time whenever possible. On completion of their original assignments, five of the eight interviewers were "pulled out" Of the field. The three most productive interviewers were retained to com- Plete the field interviewing. Completion of all interviews took slightly less than two weeks. Data Collection The research data was obtained through comprehensive Parsonal interviews conducted with the housewife in each of the selected housing units. All interviews were conducted in the respondent's home. Each interview took between thirty five and forty five minutes to complete depending on ‘1. n. o'— ..l 9A bu '- ,. a“, , . n h“ ( [If C:- H 86 the amount Of information each respondent was able, and willing, to give. The actual field work took place between March 25, 1968, and April 6, 1968. 4 The interviewers turned in the completed interviews daily at two collection points. As each was returned to the researcher, the status of the survey (i.e., completed, etc.) was recorded on a master control sheet maintained for this purpose. In addition, ten percent of the responding housing units were called to assure that the interviews had actually been taken. Appendix B, in addition to containing the survey instrument used, contains the pre-coded charts used by the interviewers and the letter of introduction carried by each of the interviewers. Analysis of the Data Data Preparation Following the completion of all data collection, the responses were coded according to predetermined category breakdowns and placed on punch cards for computer analysis. The coding was randomly inspected for any coding error, and all punch cards varified for accuracy. In addition, a cOm— plete record of all codes used was developed for future reference and a duplicate deck of cards maintained to insure against any loss of the working deck. The analysis of the data gathered was primarily confined to the hypothesis generated in Chapter I. To test CA 93 A n. V." 'M 87 the reSpective hypotheses, two statistical programs were used. In each case it was necessary to secure frequency distributions on all data relevant to specific research hypotheses. Categories were developed according to stand— ard range breakdowns for socio-economic variables. Specific categories were then established for the remaining variables based on frequency distributions. Computer Programs The specific research hypotheses were teSted through calculation of statistical values determined using the Michigan State University ACT Computer Program.7 The pro- gram required tables for all hypotheses. The computer pro— gram then provided the following information for each table: 1) Observed frequencies: 2) Table row percentages down and across: 3) Percentage of total in each cell; 4) Theoretical frequencies: 5) Chi-square with degrees of freedom and contin- gency coefficients. The chi-square developed for each table was then compared to the chi-square distribution at the .05 level to determine the significance of specific research findings. 7Michigan State University, Computer Institute for Social Science Research, Analysis of Contingency Tables (Act II), Technical Report No. 14, January . L.»l fag ,- t 5'8 in 9 kg; 88 When computed chi-square values were greater than the value} shown in the chi-square table for a particular number of degrees of freedom and confidence level, the findings were judged to be statistically significant. If the computed values were found to be significant, the null hypothesis was rejected. Thus, the alternate hypo- thesis was accepted and differences in values assumed to be due to the variables under study rather than due to chance. If greater significance than the .05 level was found, this was reported also, since this reduces the probability of type one error, or rejecting the null hypothesis when it was in fact true. Although the preceeding analysis was sufficient to test all the hypotheses generated, a second analysis was made using the majority of the data gathered. The data used were taken from those respondents who chose either the one-stOp shopping center or one of the two major conven- tional supermarkets in the area as their primary source of food. To accomplish this, ten respondents who shopped pri- marily outside of the research area were excluded, resulting in a sample of one hundred forty-nine for this section of the analysis. The smaller sample was then analyzed through the use of the Michigan State University DISCRIM Computer NA L «(1: ~ 89 Program.8 This multiple discriminant analysis program is designed to evaluate similarities and differences among "n" groups of respondents, and determine identifying character- istics of each group.9 The output of the computer analysis is a table of multiple discriminant coefficients which Show the extent to which specific variables are useful in predicting which group the subjects are most likely to be in. In the re- search, the program was used to see if any specific iden- tifying characteristics could be attributed to the group Of respondents who shopped primarily in the one-stop shopping center and the group who shopped in conventional outlets.10 Definition of Terms A number of the terms used in the research are defined here so that each may be understood in the prOper context. Age of the Household Head.--The age of the house- hold head at the time of the survey. 8Michigan State University, Computer Institute for Social Science Research, Multiple Digcriminant Analysis (DISCRIM), Technical Report No. 33, February 29, 1968. 9C. R. Rao, Advanced Statistical Methods in Bio- metric Research (New York: John Wiley and Sons, Inc., 1962). See especially chapter 9. 10For another example of this technique, see: William F. Massy, "Discriminant Analysis of Audience Characteristics," Journal of Advertising Research (March, 1965): pp. 39-48. ' 90 Average Customer Order.--The average dollars spent on food by the respondent per shOpping trip to the food store. CatalogShopping.--Purchases ordered by the respon- dent from mail-order catalogs and delivered through the mail (i.e., no retail store viSited). Cents-Off Label.--A promotional tool used by manu- facturers which temporarily reduces the normal price of an item to the consumer by stating on the label Of the product that the item is so many cents Off (below) the regular retail price. Concentration of Purchases.--The extent to which all food purchases are made in one retail outlet shown as a percentage figure. Convenience Good.--Those goods that the consumer usually desires to purchase frequently, immediately, and with a minimum of effort. Conventional Supermarket.--A large integrated food store Offering groceries, meat, dairy, produce and frozen food, operating primarily on a self-service basis, and having an annual sales volume of at least one million dollars. Coupon.--A promotional tool issued by retailers and/ or manufacturers designed to allow the customer to pur- chase a specific item for a few cents below the normal price in return for the coupon redemption. 91 Earlier Adopter.--Those respondents who adopted the one-stop shopping center as their primary source of supply for food during the first three months of Opera- tion. Family Life Cycle.--A classification of households according to the age of the household head plus the age of the children in the home. Formal Education.--The last grade of school com- pleted at the time of the survey. Household.--All persons who regularly live together in one dwelling unit. Household Head.--The person recognized by other household members as being the head of the household or, where not clear the major "breadwinner." Later Adopters.--Those respondents who adopted the one-stop shOpping center as their primary source of supply for food after the first three months of Opera- tion. Number of Stores Shopped.--The number of different food stores the respondent said she shopped in during the week preceeding the research. Number of Shopping Trips Per Week.--The number of separate trips made to any food store, or stores, the week preceeding the research. 92 Occupation of the Household Head.--The occupation, or the job being performed, by the household head at the time of the study. One-Stop Shopping Center.--A lowered-margin inte- grated shopping center offering both a wide line of general merchandise and a complete supermarket under the same roof and Operating with a lower gross margin than conventional general merchandise and food outlets. Price Specia1.--A promotional tool used by the re- tailer where an item is featured at a price below the normal selling price for a limited period of time and advertised in a newspaper to create consumer awareness of the special. Primary Source of Food.--The retail food store in which the respondent did the highest percentage of her food shOpping the week preceeding the research. 4 Private Label Merchandise.--Merchandise sold under a brand name owned or controlled by the distributor or retailer rather than a national manufacturer. Promotional Games and Contests.--A promotiOnal tool whereby the retail store attempts to increase patronage through "running" special games of chance or contests for certain lengths of time. Second Source of Food.--The retail store in which the respondent did the second highest percent of her food shOpping the week preceeding the research. 93 ShOpping Goods.--Those goods that the consumer usually wishes to purchase only after comparing quality, price, and style in a number of different stores. Social Class.--A classification of households ac- cording to W. LloydWarner's scheme of measuring status in the community. Specialty GOOdS.--Those goods that have a particular attraction for the consumer so that she is willing to make a special purchase effort. Third Source of Food.--The retail store in which the respondent did the third highest percent of her food shopping the week preceeding the research. Trading Stamp_.--A promotional tool whereby the retailer attempts to increase patronage through the giving of fractional premiums with merchandise which can be redeemed for merchandise at a later date. ‘u 'O Q‘- A. H selfi En CHAPTER IV PRESENTATION OF FINDINGS The purpose of Chapter IV is to present the research findings of the study. Presentation of the findings per- taining to the adoption of a new type of retail institution as a primary source of supply for food will provide addi— tional insight into the process that consumer's use in selecting a source of supply for food purchases. Specific findings relating to each of the research hypothesis will be presented.l { The findings Of the study are organized into six sections. The six sections follow the order in which the guiding hypotheses were presented in Chapter I. The first four sections of the chapter report findings based on the entire sample Of 159 housing units. The fifth section is based on the findings resulting from a further analysis Of the 66 housing units selecting the one-stop shopping center1 1In Chapter III, the one-stop shopping center was defined for the purposes of the research as, "A lowered- margin integrated shopping center Offering both a wide line of general merchandise and a complete supermarket under the same roof and Operating with a lower gross margin than conventional general merchandise and food outlets." 94 r? (V it, y. S . 95 as the primary source of supply for food. The last section of the chapter is again based on the entire sample of 159 respondents. The first section of the chapter presents findings relating to the socio-economic characteristics of the con- sumers concentrating purchases in the one—stop shopping center and the consumers concentrating purchases in the conventional supermarket. Section two presents the find- ings relating to the effectiveness Of the various elements in an institution's marketing mix in motivating individual consuming units to select a specific type of institution to patronize. The third section reports on findings relevant to the purchase behavior and patronage loyalty of the indi- vidual shoppers. In section four, the findings pertaining to areas of purchase behavior related to food shopping are presented. Section five presents findings relating to adoptive behavior and the characteristics of the adopting units over time. Finally, the sixth section presents a number of other significant findings developed in the research. Tables supporting the findings presented in the first five sections are presented in Appendix A, Table A-1 through Table A-40. The Tables for section six are included in the text of the chapter. Each Table in Appen- dix A gives a breakdown, by number and percent, of the variable reported on in the Table. Where statistical 96 significance was found the level is reported. In every case, the significance is included only if the data is significant at the .05 level or higher, which means there are but five chances out of 100 that the data are a result of chance occurrences. Socio-economic Variables The first guiding hypothesis was formulated to identify the socio-economic variables which best differ- entiate the one-stop shopping center customer from the conventional supermarket customer. The hypothesis states that the profile of the consumer who concentrates food purchases in the one-stop shOpping center is different than the profile of the consumer who concentrates food purchases in the conventional supermarket. From the guiding hypothesis, seven research hypo- theses were develOped to guide and direct the research. The research hypotheses state that consumers who concen— trate food purchases in the one-stop shOpping center differ from consumers who concentrate food purchases in the con- ventional supermarket in terms of the following seven var- iables. The variables are: (1) Family Income, (2) Age of the Household Head, (3) Occupation of the Household Head, (4) Family Size, (5) Level of Formal Education, (6) Family Life Cycle, and (7) Social Class. Each research hypothesis is discussed separately below. 97 Familyilncome The findings relating to family income are presented in Table A-1. The Table provides a breakdown of 1967 family income for the respondents preferring each type of retail institution. While the difference was not extreme, the data tends to indicate that a greater share of the higher income families preferred the conventional supermarket to the one— stop shopping center. Approximately 65 percent of all con- ventional supermarket shOppers had family incomes above 10,000 dollars in 1967. The figure for the one-stop shop- ping center shOppers was 54.8 percent. Conversely, of the shoppers preferring to patronize the one-stop shOpping center 12.9 percent had incomes below 5,000 dollars in 1967, while only 5.8 percent Of the conventional supermarket shOppers had incomes below 5,000 dollars per year. The ,data was not statistically significant. Age Of the Household Head Table A-2 presents the findings pertaining to the age of the household head. The Table presents a breakdown of family units patronizing each type of retail institution by the age of the household head. The data indicates that the age Of the household head was a good indicator of which type of retail institu- tion a family unit is most likely to patronize. Shoppers 98 who prefer the one-stOp shopping center generally tended to be younger than shoppers who prefer to shop in the con- ventional supermarket. Of the customers patronizing the one-stOp shOpping center, 54.5 percent were under forty years of age. Of the consumers preferring to shop in con- ventional supermarkets 68.8 percent were over forty years Old, and only 21.2 percent were forty or younger. Almost a third (30.3 percent) of all the one-stop shOpping center customers were between 30 and 39 years of age. The greatest majority of conventional supermarket shOppers were older with 62.4 percent Of all shoppers in the 40-59 year Old group. The data in Table A-2 was found to be statistically significant at the .05 level. Occupation Of the Household Head The findings pertaining to the occupation Of the household head are presented in Table A-3. The Table shows the extent to which the various occupations were represented in each Of the institution's customer mix. E The Table indicates that there was no overall dif- ference in the occupation of the household head between consuming units preferring the one-stop shopping center and consuming units preferring the conventional supermarket. In each occupational category the number Of shoppers pre- ferring each type of retail institution varied by only a few percent. The category containing the greatest percent 99 (30.3) of the one-stOp shopping center customers was the "skilled worker" category. "Clerks and kindred workerS" was the category from which the conventional supermarket drew most heavily with 31.2 percent. The Table shows no statistical significance. Family Size The research findings presented in Table A-4 pertain to the size of the family units preferring to shop for food in each type of store. The size of the family unit includes both children and adult family members. The data indicates that larger families did tend to concentrate their shopping in the one-stOp shopping center more than the conventional supermarket. Using a family size of five as an arbitrary divisional point between large and small families, the difference becomes apparent. Table 4-1 shows the data clasSified using the family Size of five as the breaking point. Thirty-eight point four percent of the one-stop shOpping center customers fell into the larger family group, while only 20.6 percent of the conventional supermarket customers were in the larger family grouping. Conversely, the conventional supermarket appealed more to the smaller families with 79.4 percent of all conventional supermarket shOppers in this group. The same figure for the one-stOp shOpping center was 61.6 percent. Neither the data presented in Table 4—1 or Table A-4 was not found to be statistically significant. \‘A Viv a Inn,“ 5‘“ 100 TABLE 4-1 SUMMARY TABLE OF THE SIZE OF FAMILY UNITS SHOPPING IN EACH TYPE OF STORE Family Size One through four Five, or More, Store patronized family members family members One-stop shOpping center 61.6% 38.4% Conventional supermarket 79.4% 20.6% Level of Formal Education Table A-5 presents the findings of the research relevant to the level of formal education. The Table Shows the level of formal education found for both the man and the woman in each family unit. Neither the education of the man nor the education of the woman was found to differ significantly between fam- ilies shOpping in each type of retail institution. The Table indicates that each type of store served approx- imately the same percentage of families from each educa— tional level. The data failed to Show any statistical significance. uls- «V VI h a\~ :4 6 .~\~1 S\ 101 Family Life Cycle The research findings pertaining to family life cycle are presented in Table A-6. The life cycle used was composed of the age of the household head and the age of the children in the family. The data indicates that younger families made up the majority of the one-stOp shopping center customers. Only 12.1 percent of all the respondents patronizing the one-stOp shopping center were over forty years old. Even more interesting were the findings in terms of children. Younger families with younger children (children ten years Old, or younger) accounted for 57.6 percent of all the one- stop shopping center customers. The same category accounted for only 31.2 percent of the conventional supermarket shOppers. Younger families with older children only, tended to shop in the conventional supermarket, however. Younger families with Older children only, accounted for 43.0 per- cent Of all the conventional supermarket shoppers. The same category represented 25.8 percent of the one-stOp shOpping center customers. The data was found to be sig- nificant at the .02 level. Social Class Table A-7 presents the research findings pertaining‘ to the social class from which each type of retail 102 institution draws its customers. The social class used was the scale develOped by W. Lloyd Warner. The methodology used failed to classify approximately twenty-five percent of the family units as being from a specific social class. The Table tends to indicate that the lower social classes patronized the one-stop shopping center more heav- ily than the conventional supermarket. The consuming units classified as lower class (either "lower-lower" or "upper- lower") accounted for 30.2 percent of the one-stop shopping center customers and only 19.3 percent of the conventional Supermarket customers. There was no real difference found for the middle class. Middle class families (either "upper- middle" or "lower-middle") represent 60.6 percent of the one-stop shOpping center customers and 61.3 percent of the Conventional supermarket customers. The data indicates, that no respondents could be definitely classified as upper Class. The Table failed to achieve any level of statistical Significance . W The research findings tend to indicate that the IPIOfile Of the consumer who concentrates food purchases in ‘the one-stop shopping center is different than the profile of the consumer who concentrates food purchases in the conventional supermarket in several respects. Consumers Preferring the one-stop shOpping center tended to have IF 103 lower incomes and be younger than consumers preferring the conventional supermarket. The occupation Of the household head and the level Of formal education showed little dif- ference between consumers patronizing each' type of retail institution, however. Larger families and younger families with young children were heavier users of the one—stop shopping center than were smaller and older families. Lower social class families preferred the one—stOp shopping center somewhat more than the conventional supermarket. The age of the household head and the family life cycle data were found to be statistically Significant at the .05 and the .02 level , respectively. Effectiveness Of Selected Elements in an Institution's Marketing Mix The second guiding hypothesis was formulated to determine the importance, to the consumer, of a number of different elements in a retail institution's marketing mix. The hypothesis states that the importance of the varioUs elements in an institution's marketing mix to the consumer in motivating her to frequent a particular institution Varies significantly between the consumer who concentrates food purchases in the one-stOp shopping center and the Consumer who concentrates food purchases in the convention- al supermarket. 104 From the guiding hypothesis, five research hypo- theses were developed. The research hypotheses state that ‘the importance of elements in the institution's marketing nnix varies between the consumer who concentrates food pur- cflnases in the one-stop shopping center and the consumer who Cfloncentrates food purchases in the conventional supermarket jun terms of five variables. The five variables are: (1) Efirice, (2) Quality, (3) Trading Stamps and Promotional Games, (4) Coupons and Price Specials, and (5) Private Imabel Merchandise. Each of the research hypotheses is discussed below. Price *— The research findings pertaining to price awareness Eire presented in Table A-8. The Table shows the extent to vflnich shoppers preferring each type of retail food outlet (Mould recall the correct price paid for an item the last llime it was purchased. The Table contains the findings for ten frequently purchased items. The data indicates a wide range of awareness between ‘theadifferent products. The greatest percent of correct Prices given by all shoppers was for "bread" with 38.4 per- ‘cent of the respondents giving the correct price. The Shoppers patronizing the one-stop shopping center were most Correct on the price of "soup" with 48.5 percent stating the correct price. "Bread" was the product priced correctly ') I) '1 I “r V v ‘s '(.1 (D '1 105 by the greatest percent Of the conventional supermarket shoppers. "Cooking Oil" had the lowest percent of the respondents price it correctly. The figures for the one- stop shOpping center customers and the conventional super- market customers were 6.1 percent and 9.7 percent respec— tively. Overall, conventional supermarket shoppers had a greater percent of the prices correct for six products and one-stop shopping center customers had a greater percent of the prices correct for four products. The differences in percent of correct prices was statistically significant for "coffee" at the .05 level and "soup" at the .02 level. The direction was opposite however, with the percent greater for conventional supermarket shOppers for "coffee" (24.7 Percent vs. 19.7 percent) and the percent greater for one- stop shopping center shoppers for "soup" (48.5 percent vs. 22.8 percent). Table 4-2 summarizes the data presented in Table A-9. The figures given are the arithmetic means of all ten Products. The Table indicates that there is very little difference in awareness Of the correct price when the data for all the products are combined. On an average, 21.5 Percent Of the one-stop shopping center customers priced the products correctly while 20.7 percent of the conven- tional supermarket shoppers priced the products correctly. 106 TABLE 4-2 AVERAGE PERCENT OF SHOPPERS CORRECTLY PRICING FOOD PRODUCTS Don't Correct Incorrect Store patronized purchase price price One-stOp shopping center 19.3% 21.5% 59.2% Conventional supermarket 15.1% 20.7% 64.2% All shOppers 16.8% 21.0% ' 62.2% Quality The research findings pertaining to quality are presented in Tables A-9 through A-ll. Table A-9 shows how consumers frequenting each type of retail institution rate the quality of the groceries, meat, and produce at the one- stop shopping center. Tables A-10 and A-ll show how both groups of consumers feel about the quality of the groceries, meat and produce at each of the conventional supermarkets. Tables A-9 and A-ll are statistically significant at the .001 and the .02 levels, respectively. The Tables report the image that the consumers have of the quality of the groceries, meat and produce sold by each of the stores. The product categories were rated as above average, average, or below average for each of the stores by all respondents. 107 To test the hypothesis, the data has been combined into Table 4-3. The Table shows how shOppers frequenting the one-stop shopping center rate the quality of the one- stop shopping center and how shoppers frequenting the con- ventional supermarket rate the quality of each of the con- ventional supermarkets. Table 4-3 indicates that the one-stop shopping Center shoppers rated the quality of the groceries and produce in the one-stop shopping center about the same as the conventional shOppers rated the quality of the groceries and produce in conventional supermarket number two. The Customers from the one-stop shOpping center rated the qual- ity of the meat much lower than the customers of the con— Ventional supermarket rated the meat in conventional super- market number two. Approximately eighty-three percent of the one-stop shopping center customers felt that the quality Of the meat was average or below. For conventional super- market number two, almost half (47.3 percent) felt the CIlilality of the meat was above average. Conventional supermarket number one appears to be rated average or below on the quality of all three product Categories. Table A-10 tends to indicate that all shoppers held a low quality image of the store. The Table would tend to indicate the supermarket has completely failed to differentiate itself in the eyes of the consumers. The data presented in the summary table was not found to be Statistical significance . 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On in. ‘0. 5o ‘1- a \ \n ‘w ’A M. “be 109 Trading Stamps and Promotional Games The research findings pertaining to trading stamps are presented in Tables A-12 and A-13. Table A—12 presents the findings on trading stamp saving behavior, and shows the extent to which consumers Shopping in the one-stop Shopping center and the conventional supermarket save sev- eral different trading stamps. The data presented in the Table indicates very little overall difference in trading stamp saving behavior between families frequenting each type of retail institu— tion. TOp Value Stamps were saved by the greatest number Of respondents from each group of shoppers. Of the one- Stop ShOpping center customers, 65.1 percent saved the Stamp, while 74.2 percent of the conventional supermarket customers saved the stamp. Most savers, from both groups, had one to five books of Top Value Stamps saved. The "one to five book" category was the largest category for each t-1’£>e of stamp. Gold Bond Stamps were saved by the smallest number of shoppers with only 4.5 percent of the one-stop 8hOpping center customers saving Gold Bond Stamps and 11.8 Parcent Of the conventional supermarket customers saving the stamp. The difference in saving behavior was not found to be statistically significant. reie: ...“;- v' Orv at 5.1: no... 110 Table A-l3 presents the findings relating to the redemption of trading stamps by cOnsumers frequenting each type of retail store. The Table Shows the number and value of the gifts received through the redemption of trading stamps within the last twelve month period. The Table indicates that there is a significant difference between the redemption behavior Of consumers preferring the one-stOp shOpping center and consumers pre— ferring the conventional supermarket. Seventy percent Of the shoppers preferring the conventional supermarket had redeemed trading stamps for a gift during the last year, while only 49.5 percent Of the Shoppers preferring the one-stop shopping center received a gift from trading stamps during the same period of time. The data also indicates that the one-stop shOpping center cuStomers who did redeem stamps received fewer gifts with a lower retail value than conventional supermarket shoppers. Fifty-five percent of the conventional supermarket shoppers received gifts with a total value over ten dollars, while only 34.8 percent Of the one-stOp shopping center shoppers received gifts worth over ten dollars in retail value. The difference in the number and value of gifts received was f(lund to be significant at the .05 level. It is interesting to note the difference in the Saving behavior and redemption behavior for each group of shOppers. While approximately the same percentage of (J 23 (I) (I! 111 one-stOp shopping center customers and conventional super- market customers save trading stamps, the redemption rate for trading stamps is much greater for the conventional supermarket shOppers. This might indicate that the one- stop shOpping center customers save the stamps for long periods of time before turning the stamps in, give the stamps to friends or organizations, or eventually just throw the stamps away. The research did not attempt to determine which was the case. The research findings pertaining to consumer aware- ness of promotional contests and games are presented in Tab 1e A-l4. The Table shows the extent to which one-stop ShOpping center shoppers and conventional supermarket shop- Pers are aware of, and have participated in, various pro- motional games and contests recently used in the research area, The Table indicates a slightly lower level of aWareness for the one-stop shopping center customers than for the conventional supermarket shoppers. The shOppers concentrating food purchases in the one-stOp shopping center had a lower level of awareness for four Of the six promo- tional contests and games used in the research. The percent °f the respondents who had participated in the games and cOntests was also lower for the one-step shopping center Customers in four Of the six games. on an average, 75.6 percent of the conventional supermarket shoppers had no 112 recognition of the promotional games and contests while the figure for the one-stOp shopping center shoppers was 80.5 percent. Approximately ten percent of the conventional supermarket customers had played the games and contests while 7.1 percent of one-stOp shopping center customers had- The differences were not found to be statistically Si gnificant. Coupons and Price Specials Tables A-15 and A-l6 present the research findings related to the usage of manufacturer "cents-Off" coupons. The Tables show the number and value of manufacturer "cents- Off " coupons redeemed by each group of shoppers during the last thirty days. Both Tables indicate a higher coupon us:a-ge rate for consumers preferring to shop in the one—stop Shopping center. The data contained in Table 4-4 shows that 67.7 Percent Of the conventional supermarket customers had not redeemed any manufacturer's coupons within the last thirty dhys, while only 50.0 percent of the one-stop shopping center customers had not redeemed any during the same time. Fhr the 50.0 percent of the one-stop shopping center cus- tégnt'ters and the 32.3 percent of the conventional supermarket 8hOppers who had redeemed coupons, the data shows little difference in level of usage. The data in Tables A-15 and 1 A716 failed to show any statistical significance. However, RA 5‘ 113 combining the data into "users" and "non-users" as in Table 4—4 shows the difference in manufacturer usage significant at the .05 level. TABLE 4-4 PERCENTAGE OF EACH TYPE OF SHOPPER REDEEMING MANUFACTURER "CENTS-OFF" COUPONS* Coupon Redemption Percentage not S to :re patronized Percentage redeeming coupons redeeming coupons One —stop shopping center 50 . 0% 50 . 0 % Conventional SUpermarket 67.7% 32.3% *§ignificant at the .05 level Using the weighted average method of determining the average number of coupons turned in confirms the fact tilat of the consumers who do turn in coupons, the one-stop 81Q'IOpping center shOppers turn in more. Computing a weighted a{Terage of the data contained in Table A-15 indicates that one-stop shopping center customers who turn in coupons tlllrned in an average of 1.96 coupons during the last thirty déy period. The same figure for the conventional super- I market customers was 1.09 coupons. \ 114 The research findings pertaining to the awareness of advertised specials is shown in Table A-l7. . The Table shows the number of grocery, meat, produce and dairy spe— cials advertised in the newspaper the preceeding week on which the shOppers could correctly identify the advertised price. Overall, the Table shows very little difference be tween shoppers preferring each type of retail institu- tion. The significant findings is the low level of recall for all shoppers a week after the item was advertised. The data failed to show any statistical significance. Eirivate Label Merchandise The research findings relating to awareness of Private label merchandise are shown in Tables A-18 and A‘19. Table A-18 shows the number of private labels (from a. list of eight, all in use in the research area) that each group of shoppers could correctly identify with the store featuring the brand. The Table indicates little difference between one-stop shopping center customers and conventional E"‘Flpermarket customers in the recognition of private labels. A weighted average was computed from Table A-18. The one- Stop shopping center customers recognized an average of 2.56 private labels while the conventional supermarket Chstomers recognized 2.16 private labels. Thus, a slightly higher level of awareness is indicated for the one-stop shopping center customers, but the data is not statistically significant. 115 Table A-l9 presents the findings relating to the zayvareness of two private labels carried in the store the Jreespondents stated was the store shOpped in most frequently. laggain, the data shows very little difference between con- sruuners frequenting each type of retail institution. Of the £311c>ppers preferring the one-stop shopping center, 78.8 per- <:eer1t failed to identify both brands correctly. The same figure for shopper preferring the conventional supermarket wens; 79.6 percent. §fl§1tumary The research findings indicate that there is not a Significant difference between consumers shOpping in the Cnnee-stop shOpping center and the consumers shOpping in con- Vfarltional supermarkets in terms of the effectiveness of the vanxious elements in the marketing mix. The research tended ‘tFD indicate very little difference in price awareness and tile perception of quality between shoppers preferring each tYpe of store. Trading stamp saving behavior showed little difference, but redemption was significantly higher for c=<3nventional supermarket shOppers. Recognition of promo- 1 tlional games and contests was slightly lower for the one- Stop shOpping center customers than conventional supermarket shOppers. The research also indicated a higher use of manufacturer "cents-off" coupons by the one-stop shopping center customers, but showed little difference in recall 116 for items advertised as price specials the preceeding week. In addition, the findings failed to show any real difference in terms of private label recognition between the two groups of. shOppers . Purchase Behavior and Patronage Loyalty The third guiding hypothesis was formulated to identify actual shOpping patterns and behavior. The hypo- thesis states that the purchase behavior and patronage loyalty of the consumer who concentrates food purchases in the one-stOp shOpping center is significantly different than the purchase behavior and patronage loyalty of the c30rlsumer who concentrates food purchases in the conventional supermarket . Five research hypotheses were generated from the guiding hypothesis. The research hypotheses state that cOnsumers who concentrate food purchases in the one-stOp s1"10pping center differ from consumers who concentrate food Purchases in the conventional supermarket in terms of: l) The number of Stores ShOpped, 2) Concentration of Purchases, 3) Average Size of the Customer Order, 4) The Number of S»l'10pping Trips to Purchase Food per Week, and 5) The Dis- 1 tribution of Purchases During the Week. 117 Number of Stores Shopped The research findings pertaining to the number of stores shOpped to complete food purchases are presented in Table A-20. The Table shows the number of stores shOpped by reSpondents preferring each type of retail outlet. The data is concerned with the actual number of different stores shOpped rather than the number of trips to shop. Several trips to one store would still be considered a Single store. The category containing the highest percentage (34 .4 percent) of conventional supermarket shoppers was "two stores" while the largest category for one-stop shop- Ping center customers was "three stores" with 42.3 percent. The data would tend to indicate that the one-stop shopping CFEE-titer customers shop in more stores than conventional 8upermarket customers. Table 4-5 shows that 69.6 percent \ , 0f the one-stOp shOpping center customers shopped in three or more stores while only 52.7 percent of the conventional Supermarket shOppers shopped in that many stores. The Ciata, however, failed to show any statistical significance. Concentration of Purchases Table A-21 presents the research findings pertain- ing to the concentration of food purchases by consumers preferring each type of retail outlet. The Table shows A19 118 -tflne percent of shopping done by the respondents in their first preference store for a number of different product categories . TABLE 4-5 NUMBER OF STORES SHOPPED BY EACH TYPE OF SHOPPER ‘ Store Patronized Number of Stores ShOpped Less than Three stores three stores and over One-stOp sshopping center 30.4% 69.6% CCDrlventional ssupermarket 47.3% 52.7% The percent of shOppers doing 76-100 percent of 'tcrtal food shopping in the first preference store exhibited 'Vfrry little overall difference between shOppers preferring e‘ta.ch type of retail institution. Of the one-stop shopping c3enter customers, 51.5 percent did over three—quarters of tJIeir total food shOpping at the first preference store, Vflnile 56.9 percent of the conventional supermarket shoppers IPUrchased over three-quarters of total food at the first 'Preference store. One-st0p shopping center customers concentrated produce, grocery and non-foods shopping in their stated first preference store more than did conventional 119 supermarket customers, however. The shoppers purchasing over three-quarters of each category were 77.3 percent vs. 69.9 percent, 79.3 percent vs. 62.4 percent and 89.4 per- cent vs. 77.4 percent for produce, grocery and non-foods shOpping reSpectively. The percent of shoppers purchasing at least three-quarters of all meat in the first preference store was significantly lower for one—stop shopping center customers, however, with only 60.6 percent of the shOppers purchasing this much. The figure for the conventional supermarket shopper was 79.5 percent. Table 4—6 presents a summary of the data contained in Table A-21. The differ- ence for meat shopping and grocery shopping were found to be statistically significant at the .01 and the .02 level. TABLE 4-6 PERCENTAGE OF EACH GROUP OF SHOPPERS CONCENTRATING AT LEAST SEVENTY-FIVE PERCENT OF ALL SHOPPING IN ONE STORE Product Category Total Store food Meat Produce Grocery Non-food patronized shopping shopping* shopping Shopping** shopping One-stop shopping center 51.5% 60.6% 77.3% 79-3% 89.4% Conventional supermarket 56.9% 79.5% 69.9% 62.4% 77.4% *Significant at the .01 level **Significant at the .02 level 120 Average Size of Customer Order The findings of the research pertaining to the average size of the customer order are presented in Table A—22. The average customer order is based on the average weekly food bill and the number of trips the respondent made to purchase food during the week. The Table indicates that the families preferring the one-stop shopping center had larger average food bills per shOpping trip. Approximately one-third (36.3 percent) of the one-stop shopping center shoppers purchased over thirty dollars per trip on an average, while only one-fifth (21.2 percent) of the conventional supermarket shoppers purchased this much per trip. Conversely, 45.5 percent of the one-stop shopping center customers had average shopping bills under twenty dollars. The same figure for the con- ventional supermarket customers was 55.3 percent. The data was not statistically significant. Number of Shopping Trips The research findings in Table A-23 pertain to the number of shOpping trips a shOpper makes per week to pur- chase food. Overall, the data failed to achieve any level of statistical significance. The data does tend to indicate that one-stop shOp- ping center customers shOp less often than do the conven- tional supermarket shOppers. Of all one-stop shopping 121 center customers, 56.1 percent shOpped once a week, or less, whereas only 41.9 percent of the conventional super- market shoppers shopped once a week, or less. Conversely, 14.1 percent of the conventional supermarket customers shopped at least four times while only 9.0 percent of the one-stop shopping center customers shOpped this often. A weighted average of the data in Table A-23 indicated that one-stop shOpping center customers make 1.88 trips per week and conventional supermarket shoppers make 2.08 trips per week. Distribution of Purchases by Day of Week Table A-24 presents the research findings concerned with the distribution of food purchases during the week. The Table shows the day of the week that respondents chose to complete the major food shOpping trip. While the data failed to show a distinctive dif- ferentiation between shopping groups, several findings are of interest.4 No particular differences were found between early and late week shopping for consumers preferring either type of retail outlet. Wednesday was a heavy shOp- ping day in the conventional supermarket with 22.6 percent of all conventional supermarket customers shopping on Wednesday while only 6.1 percent of the one-stop shopping center customers shOpped on Wednesday. The difference was 122 probably due to double stamps being given by one of the conventional supermarkets on Wednesday. Also interesting was the fact that 37.9 percent of the one-stop shOpping center customers had no particular day that they normally ShOp while only 28.0 percent of the conventional supermarket shoppers fell into the same category. The differences were not found to be statistically significant. Summary Overall, shOppers preferring each type of retail outlet failed to show any significant differences. No definite pattern could be determined for the number of stores shOpped, but the data tended to indicate that one- stop shopping center customers did shop in more stores than conventional supermarket shOppers. The one-stOp shopping center shoppers did tend to concentrate the purchase of produce, grocery and non-foods more than conventional supermarket shOppers, but total food shopping exhibited little difference. The one-stOp shopping center customer also tended to have larger average order sizes and to shop fewer times per week, but the differences were not found to be statistically significant. In addition, no differ- ence was found in the distribution of purchases during the week between the two groups, except for Wednesday which is as probably due to trading stamps. 123 Related Purchase Behavior The fourth guiding hypothesis was formulated to study consumer purchase decisions in related areas. The hypothesis states that consumer preference for purchasing food in the one-stOp shopping center or the conventional supermarket carries over into other areas of consumer pur- chasing behavior. From the guiding hypothesis, four research hypo- theses were develOped to guide the research. The hypotheses were stated in two different forms. The first three hypo- theses state that consumers who concentrate food purchases in the one-stOp shOpping center are more likely to frequent similar lowered-margin retail institutions than are consu- mers who concentrate food purchases in the conventional supermarket in terms of: 1) Convenience Goods, 2) Shopping Goods, and 3) Specialty Goods. The fourth research hypo- thesis states that consumers who concentrate food purchases in the one-stop shopping center are more likely to be cat- alog shoppers than consumers who concentrate food purchases in the conventional supermarket. Each research hypothesis is covered below. Convenience Goods The data pertaining to the related purchasing area of convenience goods is shown in Table A-25. The Table 124 shows where shOppers preferring the one-stop shopping center and the conventional supermarket would purchase a variety of items generally classified as convenience goods. The Table indicates that a large number of respond- ents generally tended to purchase convenience goods where they normally shOp for food. The tendency was more pro— nounced for the one-stop shopping center customers, however. Of shOppers preferring the one-stOp shopping center, 59.1 percent purchased cigarettes, 75.7 percent purchased non- prescription drugs, and 43.9 percent purchased magazines in the one-stop shopping center also. The percentages for conventional supermarket shoppers purchasing the items in the conventional supermarket were 44.1 percent for cigar- rettes, 11.8 percent for non—prescription drugs and 33.3 percent for magazines. All three product categories were found to be significant at the .001 level. ShOpping Goods Table A-26 presents the research findings relating to shOpping goods. The Table shows where shOppers prefer- ring the one-stop shopping center and the conventional supermarket would purchase a variety of goods generally classified as shopping goods. The data in Table A-26 is less conclusive than the data shown in Table A-25. 'I‘ "f‘ 'l’l 125 The data indicates that both the one—stop shOpping center customers and the conventional supermarket customers preferred to purchase the shopping goods in the department store and the specialty store. The department store ranked first. Of the one—stop shOpping center customers, 30.3 percent preferred to purchase toasters, 45.5 percent prefer- red to purchase televisions and 68.2 percent preferred to purchase draperies in the department store. The same fig- ures for the conventional supermarket shoppers were 37.6 percent, 39.8 percent and 54.8 percent for the three items respectively. The difference in preference was not found to be statistically significant. Specialty Goods The research findings pertaining to Specialty goods are presented in Table A-27. The Table shows where consu- mers preferring each type of retail institution would pur- chase several items generally classified as specialty goods. The three specialty goods show distinctly different patterns. The data indicates that the specialty store was the primary place of purchase mentioned for a man's suit. Of the shoppers preferring the one—stop shopping center, 63.6 percent mentioned the Specialty store, as did 59.1 percent of the shOppers preferring the conventional super- market. The purchase of prescriptions indicated a different pattern. While the largest percent of the shoppers (62.1 126 percent for the one-stOp shopping center and 83.9 percent for the conventional supermarket) preferred to purchase prescriptions at the drugstore, 34.9 percent of the one- stop shOpping center customers preferred to purchase the product at the one-stop shopping center. The difference in the purchase patterns for prescriptions was significant at the .001 level. The purchase of good china failed to Show a distinct pattern. Both types of shOppers preferred to purchase china primarily in the department and specialty store. The one-stop shopping center customers indicated a stronger preference for the department store (48.5 percent) than the specialty store (33.3 percent) while the conventional supermarket shoppers divided evenly between the two types of stores. Of the conventional supermarket Shoppers, 43.0 percent preferred the department store and 41.9 percent preferred the specialty store. The differences were not found to be statistically significant except in the case of prescriptions. Catalgg ShOpping The research findings pertaining to catalog, or mail-order, shopping are presented in Tables A-28 through A—30. A summary of catalog shopping behavior is presented in Table 4-7, which shows that one-stOp shopping center customers are much heavier users of catalog Shopping than 127 are conventional supermarket shOppers. Of the shoppers preferring the one-stop shopping center, 60.6 percent do purchase merchandise by mail, while only 41.9 percent of the conventional supermarket Shoppers do. The difference was statistically Significant at the .05 level. TABLE 4-7 PURCHASE OF MERCHANDISE BY MAIL FOR FAMILY UNITS SHOPPING IN EACH TYPE OF STORE* Purchase Behavior Don't purchase ~Do purchase Store patronized by mail by mail Total One-stop n 26 ‘ 40 66 shopping center % 39.4 60.6 100 Conventional n 54 l 39 93 supermarket % 58.1 41.9 100 All shoppers n 80 79 159 % 50.3 49.7 100 *Significant at the .05 level Table A-28 shows the number of respondents prefer- ring to shop in each type of retail institution who had mail-order catalogs in their home at the time of the inter- view. The data indicates that, for each of the six catalogs listed, a higher percentage of one—stOp shopping center customers had catalogs in the home than did the conventional supermarket customers. The Sears catalog exhibited the 128 greatest coverage with 50.0 percent of one-stop shopping center shOppers having the catalog in their home. Only 31.2 percent of the conventional supermarket shoppers had a Sears catalog. The data on the Sears, Montgomery Ward, Spiegel and Alden catalogs were found to be significant at the .05 level. Table A-29 shows the value of all items ordered through general merchandise catalogs by both groups of shoppers during the last three months. The Table indicates that one-stop shopping center customers are heavier users of general merchandise catalogs. During the last three months 51.5 percent of the one-stOp shOpping center cust- omers made purchases through the general merchandise cat- alogs while only 36.6 percent of the conventional super- market shOppers did. In addition, for each purchase value category in the Table, the percentage of shoppers purchas— ing items was higher for the one-stOp shopping center cus- tomers. The difference was not found to be statistically significant. The value of all other merchandise ordered through the mail, or through specialty catalogs, during the last three months by shoppers preferring each type of retail institution is presented in Table A—30. The Table indi- cates that the one-stop shopping center shOppers also pur- chased more specialized items through the mail. Of the one-stop shopping center customers, 72.3 percent had 129 purchased specialty items through the mail during the last three months, while only 53.8 percent of the conventional supermarket customers had. The data indicates that the majority of all shoppers had purchased under twenty—five dollars worth of merchandise. The findings were statis- tically Significant at the .05 level. Summary The research findings indicate that the one-stop shopping center customer is likely to carry this preference for one-stOp shopping over into other related areas. Shop- pers preferring to purchase food in the one—stop shopping center purchased significantly more of the convenience goods in their first preference store than did shoppers preferring the conventional supermarket. The purchase of shopping goods exhibited similar preferences for each group of consumers. The preference for purchasing specialty goods was not distinctly different except in the case of prescriptions which exhibited a fairly strong preference for purchasing the item in the one-stop shopping center by its shoppers. The research findings also exhibited a difference between shoppers preferring each type of retail outlet in terms of mail-order shopping. The one-stop shopping center customer was more prone to purchase merchandise by mail than the conventional supermarket shopper in each situation studied. 130 Characteristics of Adopter Family Units The fifth guiding hypothesis was formulated to study the adopters responsible for the acceptance and growth of the one-stop shOpping center. The hypothesis states that earlier adOpters of the one-stop shopping center are significantly different than later adopters of the institution. Four research hypotheses were develOped from the guiding hypothesis to direct the research. The hypotheses state that earlier adopters differ from later adOpters in terms of four variables. The variables are: l) Socio- economic Characteristics, 2) The Motivational Effect of Various Elements in the Institution's Marketing Mix, 3) Purchase Behavior and Patronage Loyalty, and 4) The Carry- over of Purchase Behavior. Data was generated and tested in each of the areas presented under the first four guiding hypotheses. Only the tables which differentiate earlier and later adOpters will be presented as part of the research findings. It should be noted that the present section of the research findings is based on the sixty-six respondents who named the one-stOp shOpping center as the store in which the ma- jority of their food purchases were made. 131 Socio-economic Characteristics The socio-economic characteristics which best dif- ferentiate the earlier and later adOpters of the One—stop shopping center are family income, the education of the male, family life cycle, and social class. The research findings are presented in Tables A—31 through A-34. Each of the variables is covered below. Table A-31 presents the research findings pertain- ing to family income. While not statistically significant, the data does indicate that a higher percent of the earlier adopters had incomes below 10,000 dollars than the later adopters. Of the earlier adOpters, 48.7 percent had in- comes below 10,000 dollars while only 38.1 percent of the later adopters had incomes below 10,000 dollars. The level of formal education of the male for adop- ting families is presented in Table A-32. The Table indi- cates that earlier adOpters generally had a lower level of formal education than did the later adopters. Of those families classified as early adOpters, 54.5 percent had no education past high school, and 25 percent had not completed high school. Conversely, 72.8 percent of the later adop- ters had had some education at the college level. The findings were significant at the .05 level. The stage in the family life cycle of adopting families is presented in Table A-33. The research findings presented in the Table indicate that the majority of both 132 the earlier and later adOpters were young families with children. The earlier adopters were more concentrated in the young families with children grouping, however. Of the earlier adOpters, 88.6 percent fell into the category V while 72.7 percent of the later adopters did. The data was significant at the .05 level. Table A-34 presents the research findings relevant to the social class of adopter families. The data indicates that the earlier adopters came from lower social classes than the later adOpters. In each classification the largest group (34.1 percent for earlier adOpters and 31.6 percent for later adOpters) was the group which could be definitely classified as "lower-middle" on the Warner scale. Families lower on the scale accounted for 33.2 percent of the earlier adopters and 22.7 percent of the later adOpters. Conversely, the families above this classification accounted for only 17.2 percent of the earlier adopters and 45.2 percent of the later adOpters. The research findings were Significant at the .05 level. Summary The research findings indicate that a greater per- centage of the earlier adopters had incomes below 10,000 dollars, and a lower level of formal education than later adOpters. Earlier adopters were also more concentrated into the categories of younger families with children. 133 In addition, the earlier adopters generally came from lower social classes than did the later adopters. Effectiveness of Selected Elements in an Institution's Marketing_Mix The research findings indicated differences between earlier and later adopters of the one-stop shopping center in terms of trading stamp redemption, manufacturer "cents- off" coupons, and the awareness of private label merchan- dise carried by the store. The data is presented in Tables A-35 through A-37. Table A-35 presents the findings of the research relevant to the redemption of trading stamps. The Table indicates a higher rate of redemption for the later adOp- ters of the one-stop shOpping center than the earlier adOpters. Approximately sixty (59.1) percent of the later adOpters had redeemed stamps for gifts during the last year, while only 43.2 percent of the earlier adOpters had redeemed trading stamps for a gift during the same time period. In addition, the data indicates the later adOpters received more gifts. Of the later adOpters, 40.9 percent had received at least two gifts during the period while only 11.4 percent of the earlier adopters received this many. The Table was significant at the .05 level. 134 The research findings pertaining to the use of manufacturer "cents-off" coupons is presented in Table A-36. The Table indicates a higher usage of manufacturer coupons for the earlier adopters. Over half (56.8 percent) of the earlier adOpters had redeemed a coupon during the last thirty days, whereas only 36.4 percent of the later adopters had. In addition, 34.1 percent of the earlier adopters had turned in more than one manufacturer coupon while only 4.5 percent of the later adopters turned in more than one. The data failed to show statistical significance. Table A-37 presents the research findings relevant to the awareness of private label merchandise carried in the one-stOp shOpping center. The data indicates a higher level of awareness for later adopters than earlier adOpters. In each group the level of recognition of the two brands tested was fairly low. The brand names were correctly iden- tified with the one-stop shOpping center by 15.9 percent of the earlier adopters and 27.3 percent of the later adopters. The difference was not statistically significant. Summary The research would tend to indicate some differences in the reSponsiveness of the earlier and the later adopters to several elements in the institution's marketing mix. The earlier adopters redeemed fewer trading stamps for gifts than later adOpters. Earlier adopters tended to be 135 more responsive to manufacturers "cents-off" coupons than did later adopters. In addition, the data would tend to indicate a difference in awareness of private label mer- chandise carried in the one-stop shopping center, with later adopters more aware than earlier adopters.. Purchase Behavior and Patronage Loyalty Two of the variables studied in the area of pur- chase behavior and patronage loyalty tend to differentiate the earlier adopters from the later adopters. The two variables were the concentration of shopping in the first preference store and the number of shOpping trips made per week to purchase food. The data are presented in Tables A-38 and A-39. Table A-38 presents the research findings pertaining to the percent of shopping done in the one-stOp ShOpping center for several broad product categories by earlier and later adopters. While statistical significance was not achieved, the data tends to indicate that the earlier adop- tersconcentrate food purchases more than the later adOp- ters. In each of the five categories shown in the table a higher percentage of the early adopters purchased over 75 percent of the categories studied than the later adopters. The difference in the percentage of the earlier adopters and the later adopters purchasing more than 75 percent 136 varied by product grouping from a low of 2.3 percent to a high of 19.5 percent. The high of 19.5 percent was for grocery shopping. The research findings relevant to the number of shopping trips to purchase food per week are presented in Table A-39. The data tends to indicate a lower number of shopping trips were made by the earlier adopters of the one-stop shopping center. Six-tenths of the earlier adopters shopped once a week, or less while 45.5 percent of the later adOpters did. In addition, only 20.5 percent of the earlier adopters shopped at least three times a week while 36.3 percent of the later adopters shopped this often. The difference shown was not found to be statistically significant. Summary The research findings tend to indicate that earlier adOpters and later adopters differ in terms of two variables used in the study. The earlier adopters tended to concen— trate shOpping in one store to a greater extent than the later adopters. The earlier adOpters also appear to have shOpped fewer times per week than the later adopters, with a majority of the earlier adopters shopping only once a week. 137 Related Purchase Behavior The research indicated very little difference be- tween earlier and later adopters in terms of related pur- chase behavior. The two areas reviewed are purchasing through mail-order catalogs and the mail-order catalogs present in the home of the respondents. Tables 4-8 and A-40 present the findings. Table 4-8 summarizes the research findings pertain- ing to adopters purchasing merchandise through mail-order catalogs. TABLE 4-8 PURCHASE OF MERCHANDISE BY MAIL FOR ADOPTERS OF THE ONE-STOP SHOPPING CENTER Purchase Behavior Don't purchase Do purchase AdOpter Category by mail by mail Total Earlier adopters n 21 23 44 % 47.7 52.3 100 Later adopters n 12 10 22 % 54.5 45.5 100 All adOpters n 33 33 60 % 50.0 50.0 50.0 The table indicates that the earlier adOpters are somewhat heavier users of mail-order catalogs than are the later adOpters. Fifty percent of all the adopters stated 138 that they did purchase merchandise through mail-order cat- alogs. Of the earlier adopters, 52.3 percent purchased merchandise through the catalogs while 45.5 percent of the later adopters did. The difference was not statistically significant. A The adopters having a number of different general- merchandise mail-order catalogs in the home at the time of the interview is shown in Table A-40. The data shows that for five of the six different catalogs used in the research, a higher percent of the earlier adopters had the catalogs than the later adopters. The J. C. Penney's catalog was the most discriminate with 21.7 percent more earlier adop- ters having the catalog in the home. The difference for the Penney's catalog was significant at the .05 level. Summary The research indicates little difference for most of the research variables in terms of related purchase behavior. Earlier adopters were slightly higher users of mail-order shOpping and a greater percentage had mail-order catalogs in the home. Other Significant Findings In addition to the data specifically develOped to test the hypotheses, the research generated a body of 139 knowledge tangential to the main emphasis of the study. The sixth section of the chapter presents the additional findings of the research. Availabilit and-Use of Car and Source of Supply‘for Food It is believed by many researchers that the avail- ability and use of a car affects shopping behavior. Tables 4-9 and 4-10 present the research findings related to the area. Table 4-9 shows the number and percent of women preferring each type of retail outlet who stated that they do drive a car. The data indicates very little difference in the percent of women from each group of shoppers who drive. Of the one-stop shopping center customers, 86.4 percent of the women said they drive, while 90.3 percent of the women preferring the conventional supermarket said they drive. The findings would thus indicate that the ability to drive does not affect which type of store the shopper patronizes. Table 4-10 presents the findings of the research pertaining to the availability of a car to the woman during the day. The data does not indicate a statistically sig- nificant difference between the one-stop shopping center customers and the conventional supermarket customers. A higher percentage of the conventional supermarket shoppers did have cars available during the day however. Over 140 three-quarters (77.4 percent) of the conventional super- market shOppers had cars available while one—third (66.7 percent) of the one-stOp shopping center customers had a car available. While inconclusive, the availability of a car to the woman during the day may affect the choice of a retail outlet for food. If this is the case, having a car available would tend to favor the selection of the conventional supermarket. TABLE 4‘9 PERCENTAGE OF WOMEN WHO DRIVE FAMILY CAR WOman Shoppers Who Drive Don't Store Patronized Drive Drive Total One-stOp n 9 57' 66 shopping center % 13.6 86.4 100 Conventional n 9 84 93 supermarket % 9.7 90.3 100 All shoppers n 18 141 159 % 11.3 88.7 100 Who Accompanies the Wife on Food Shopping Trips Table 4-11 indicates that there is a relationship between the type of outlet selected for the purchase of food and which family members go on the shopping trip. The data indicates that the one-stOp shopping center is more of 141 a family market. Of the women who shOpped the conventional supermarket for food, 44.1 percent made the shopping trip alone, while only 22.7 percent of the women who did their food shOpping in the one-stOp shopping center went to the store alone. In 18.2 percent of the trips to the one-stop shopping center the whole family went, while this was the case in only 2.2 percent of the conventional supermarket trips. The difference in who shopped was found to be sig- nificant at the .001 level. TABLE 4-10 PERCENTAGE OF WOMEN WHO HAVE CARS AVAILABLE DURING THE DAY Availability of Car Car not Car Store Patronized N.R. available available Total One-stop n l 21 44 66 shopping center % 1.5 31.8 66.7 100 Conventional n l 20 72 93 supermarket % 1.1 21.5 77.4 100 All Shoppers n 2 41 116 159 % 1.3 25.8 72.9 100 Coupon Usage Patterns Table 4-12 presents the research findings pertain— ing to consumer usage patterns for coupons received from manufacturers. The consumers use of the coupons was 142 presented in the second section of the chapter. Table 4-12 is presented to enlarge on the area of manufacturer coupon usage. The Table indicates, as did the earlier tables, that the one-stop shopping center customers were more re-I sponsive to the manufacturer coupons. TABLE 4-11 WHO ACCOMPANIES HOUSEWIFE ON FOOD SHOPPING TRIP* Other Persons Accompanying Housewife Husband other adult Child Child Store Shop Friend family under over Whole Patronized alone neighbor member five five family Total One-stop shopping n 15 3 21 12 3 12 66 center % 22.7 4.5 31.8 18.2 4.5 18.2 100 Conventional super- n 41 5 27 8 10 2 93 market % 44.1 5.4 29.0 8.6 10.8 2.2 100 All n 56 8 48 20 13 14 159 shOppers % 35.2 5.0 20.2 12.6 8.2 8.8 100 *Significant at the .001 level Combining the categories "use right away" and "save, use later," it can be seen that 66.7 percent of the one-stOp shopping center shoppers actually turned in the coupons, while only 41.9 percent of the conventional super- market ShOppers actually redeemed them. Over three times 143 as many one-stOp shopping center shOppers as conventional supermarket shOppers used the coupons right away. Also of interest, is the fact that almost twice as many of the conventional supermarket shoppers threw the coupons away on receipt of them. The difference in usage patterns was . found to be significant at the .05 level. TABLE 4-12 MANUFACTURER "CENTS-OFF" COUPON USAGE PATTERNS* Usage Pattern Use Save, Plan to right use use, but Give Throw Pa§§8§Ized N.R. away later don't away away Total One-stop shopping n 1 10 34 4 1 16 66 center % 1.5 15.2 51.5 6.1 1.5 24.2 100 Conventional super- n 3 4 35 7 l 43 93 market % 3.2 4.3 37.6 7.5 1.1 46.2 100 All n 4 14 69 ll 2 59 159 shoppers % 2.5 8.8 43.4 6.9 1.3 37.1 100 *Significant at the .05 level. Adoption of a New Retail Institution and the Availability of’a Car While the research findings with respect to avail- ability of a car to the wife and her selection of a retail outlet for food were inconclusive, the same is not true 144 with respect to the adoption of a new outlet. The findings are presented in Tables 4-13 and 4-14. Table 4-13 tends to indicate that the availability of a car during the day is a significant factor differen-I tiating the earlier adopter of the one-stop shopping center from the later adopter. Seventy-five percent of the earlier adopters had cars available during the day while only fifty percent of the later adOpters did. TABLE 4-13 PERCENTAGE OF WOMEN ADOPTING THE ONE-STOP SHOPPING CENTER HAVING CAR AVAILABLE DURING THE DAY Availability of Car Car not car AdOpter Categories N.R. available available Total Earlier adopters n l 10 33 44 % 2.3 22.7 75.0 100 Later adopters n 0 ll 11 22 % - 50.0 50.0 100 All adopters n l 21 44 66 % 1.5 31.8 66.7 100 Table 4—14 supports the evidence presented in Table 4-13. A much higher percentage of the earlier adOpter families of the one-stOp shopping center had at least two cars available to the family. Approximately two-thirds (65.9 percent) of the earlier adOpters had at least two 145 cars available to the family while only 27.2 percent of the later adopters had more than one car available. The findings were significant at the .05 level. The data would thus tend to indicate that the availability of a car was important to the acceptance and growth of the one-stop shopping center, whereas it was not found to differentiate the one-stop shopping center customer from the conventional supermarket shopper at the time of the research. TABLE 4-14 NUMBER OF CARS AVAILABLE PER FAMILY FOR ADOPTER FAMILY UNITS* Number of cars Adopter category None 1 2 3+ Total Earlier adOpters n l 14 26 3 44 % 2.3 31.8 59.1 6.8 100 Later adopters n 1 15 5 l 22 % 4.5 68.2 22.7 4.5 100 A11 adopters n 2 29 31 4 66 % 3.0 43.9 47.0 6.1 100 *Significant at the .05 level Discriminant Analysis In addition to analyzing the data to test the hypotheses directly, the data was analyzed in a second way. In the second analysis, selected variables were analyzed 146 using multiple discriminant analysis.2 Multiple discrim- inant analysis is concerned with solving the problem of assigning an individual to one of a number of mutually exclusive groups on the basis of a set of n measurements on the individual. The statistical technique attacks the problem by determining whether or not the points (measurements) rep- resenting the performance of each individual on the n var- iables measured tend to occupy different regions in the n dimensional space defined by the n variables measured. If the points do tend to occupy different regions of the n dimensional Space, then classification of new individuals on whom the same n measurements are obtained becomes possible. In multiple discriminant analysis, the group to which an individual normally belongs, i.e. the first pref- erence food store in the study, is the criteria which orients the analysis of the data rather than the n measure- ments. Using the groups as the main criterion for the analysis, the computer program develops discriminant func- tions from the input data. The diScriminant function is a linear function of the n measurements which maximizes the 2For further information on multiple discriminant analysis see William F. Massy, o . cit., or David V. Tiedeman, "The Utility of the Discriminant Function In Psychological and Guidance Investigations," Harvard Educa- tional Review, Vol. XXI, No. 2 (Spring, 1951), pp. 71-79. 147 ratio of among means of groups sum of squares to the within groups sum of squares. Maximization of the ratio of the among means of groups sum of squares to the within groups sum of squares has the effect of spreading the means of the groups apart,: while Simultaneously concentrating the scatter of individual points about their reSpective groups. Thus, the extent of overlap in the distribution of measurements for the various groups is minimized. The number of discriminant functions necessary to maximize the ratio, i.e. minimize the extent of overlap, is one less than the number of groups used in the study. The present study utilized two discriminant functions since the number of groups in the study was three. The two discriminant functions developed, reduced the n measurements for each group into group centroids. Since there were three groups, three group centroids were develOped. The centroidsrepresent a center of gravity, or statistically a mean of the n measurements for the group under study. The group centroids are then plotted in the discriminant function space, or the space described by the discriminant functions, to determine the extent to which the group centroids enable the researcher to discriminate between the groups on the basis of the n measurements. 148 Thus, multiple discriminant analysis through the develOpment of discriminant functions describes the varia- tion of the group centroids develOped. Determination of the coefficients of these discriminant functions provides a means of transforming the points of the n dimensional Space to the discriminant function space which is of lower order than the n dimensional space since the number of groups is smaller than the number of measurements. The transformations tend to exhaust all of the information contained in the original set of n variables concerning the separation of the group centroids and the scatter of indi- viduals about their centroids. Study of the location of the resultant group cen- troids in the discriminant function space for each of the groups permits the determination of whether the discriminant functions develOped significantly differentiate the groups under study. If the discriminant functions do significantly differentiate the groups, prediction of group membership is possible for new individuals measured on the n variables. For purposes of the analysis fourteen variables were used. Most of the variables were used elsewhere in the research, but some were included exclusively for the discriminant analysis. The variables used in the discrim- inant analysis were as follows: 1. The percent of total food shopping done in the first preference store. 149 2. The number of related items purchased per food shOpping trip. 3. The location of the first preference store in reference to the respondents home. 4. The extent to which mail-order purchases were made during the last year using the value of all mer- chandise received through the mail. 5. The number of prices correctly identified for ten frequently purchased food items. 6. The respondent's awareness of price Specials shown by recall of price Specials offered the previous week. 7. The number of "cents-off" labels purchased during the last thirty day period. 8. The number of private label brands correctly identified in relation to the store featuring the brand. 9. The extent to which other discount shopping is engaged in, determined by the number of products pur- chased in discount houses. 10. The number of trading stamps presently saved. 11. The number of gifts received through redemption of trading stamps during the last year. I 12. The number of promotional games and contests recognized by the respondent. 150 13. The number of promotional games and contests participated in by the respondent. 14. The number of manufacturer “cents-off" coupons turned in during the last thirty days. The fourteenvariables used were classified into three major variables which were: 1) convenience variables, 2) economic variables, and 3) promotional variables. Var- iables one through four are convenience variables. Variables five through nine are economic variables. And variables ten through fourteen are promotional variables. The research findings are presented in Figure 4-1 and Table 4-15. Figure 4-1 shows the position of the group centroids in the discriminant function space. Table 4-15 contains the simple correlations found to exist between the fourteen research variables and the three food stores patronized by the respondents. The data contained in Figure 4-1 shows that multiple discriminant analysis was successful in distinguishing the three groups from each other. The fourteen variables used in the multiple discriminant analysis resulted in group centroids occurring in different regions of the discriminant function space. The first discriminant function (the horizontal axis in Figure 4-1) was most successful in separating the one-stop shopping center customers from the conventional supermarket customers. The first discriminant function 151 Figure 4"? Position of Group Centroids In Discriminant Function Space Using fourteen Variables 0.62 °2 (0.4,-o.3) -.s o . 1 (my-0.7) °3 (ca-4.1) LEGIND: I I - One-Step Shopping Center I 2 - Conventional Supermarket _ No. I 3- Convenflonal Supermarket No.2 l 152 separated the two groups of conventional supermarket shOp- pers very little however. The overall difference in group centroids on the first discriminant function was found to be significant at the .001 level. A I The second discriminant function (the vertical axis in Figure 4-1) succeeded in separating the two groups:of conventional supermarket shoppers more than the first dis- criminant function. The separation of the three group centroids was much less on the second axis however. The differences in the group centroids were not found to be statistically significant on the second axis. Table 4-15 presents the simple correlations found for the fourteen research variables and the three retail outlets. The data indicates that, in general, the correla— tions found to be positive between the individual research variables and the oneestop shopping center customers were negative for the conventional supermarket customers, and vice versa. The one-stop shopping center customers corre- lated positively on all the convenience and economic var- iables except the variable concerned with the distance the customers would travel to purchase food. With the exception of the variable concerned with the usage of manufacturer "cents-off" coupons, the one-stop shOpping center customers were found to have negative correlations on the promotional variables. The positive correlation found for one-stop ShOpping center customers and negative correlation found 153 mo.| «0.: NH. SH omnnsa mcomsou =mmo|musmu= umuouommosmz mo umnfioz .va ea. Ho.| ma.| ommmHm memo Hmcofluoeoum mo Honesz .ma mo.| Ha. mo.| Umuacmoomm mmfimw HMGOHUOEOHQ HO Hmnfidz .NH so. he. Hm.u , museum ocwcmua Eoum oo>wmomm memeo mo Honasz .HH ma. mo.n ma.u em>mm magnum mancmue mo amassz .oa moaanHm> Hmcowuoaonm .0 mm.: mH.- mm. manomosm ucsoomao umnuo mo pamuxm .m oa.u may- NH. eouacmoomm mamama mum>aum «0 umnssz .m «0.- ma.- ea. emmmeousm mamnmq =umonmuamo= mo umnssz .e no.| mo.| Ha. mamwommm moflum mo mmmcmumaa .m Ho. vo.| mo. omwmwucmoH wauoouuou moowum mo Honsdz .m mwflflmdrum> OHEOGOON .m ma.u mo.- 4H. mnemoosm umeuouaamz mo unmuxm .v on. ma. om.u . commosm ououm mo sofiumooq .m mH.- aa.u mm. mane Hum mommsousm emumamm mo umnssz .~ Ho.| ma.| ea. mnoum and Se mooo mswmmosm mo usmoumm .H meanneum> moccasm>soo .4 Ne umxumfiumoom H¢ umxumfiuomom Hmuamo mmHQMwum> soummmmm Hmcoflucm>cou HMSOflucm>coo mcwmmonm .- moumumco muoum mucoumuoum umuflm mMOBm mozmmmmmmm BmMHh mBH3 mmndem¢> mom4mmmm ho ZOHB¢AmMMOU mamEHm male mflmdfi 154 for conventional supermarket customers on the usage of manufacturer "cents-off" coupons indicates that the var- iable probably should have been classified as an economic rather than a promotional variable. Conversely, the conventional supermarket shOppers were found to have a negative correlation with all the convenience and economic variables with the exception of the nearness of the store chosen. The correlation of each group of shOppers with the promotional variables was less distinct than the other two groups of variables. The cor- relations were mixed with some being positive and others negative. Overall, however, more of the correlations were positive than negative. The data presented in Table 4-15 and Figure 4-1 would indicate that there is more of a difference between one-stop shOpping center customers and conventional super- market customers than the analysis of individual measure- ments would indicate. The gestalt of the individual meas- urements indicates Significant differences between the two types of shoppers. The findings would indicate that one-stop shopping center customers are generally more interested in, and evidently motivated more by, the convenience and economic aspects of shopping rather than the promotional aspects. The conventional supermarket customers, however, appear to be more interested in, and motivated more by, the 155 promotional aspects of shopping rather than the convenience and economic aSpects. The one exception to the pattern is the location of the store selected to supply the family's food needs in relation to the respondent's home. The one- stop shopping center customers appear much more willing to travel farther to shop than the conventional supermarket shoppers. This would indicate that convenience of location is regarded as different than convenience of multiple pur- chase opportunities by the two types of shoppers. Summary of Other Sigpificant Findingg In addition to data necessary to test for formulated hypotheses, a number of other significant findings were uncovered in the research. The findings indicated that the availability of a car to the housewife was not generally a discriminating factor determining the selection of retail outlets for food purchases. The availability of a car evi- dently was important to the adoption of a new retail insti- tution, as earlier adopters were found to own, and have access to, more cars per family than later adopters. The retail outlet shopped for food also appears to be related to who goes on the shopping trip. The research indicated that the one-stop shopping center had a much higher incidence of family Shopping than the conventional supermarket. 156 Manufacturer coupon usage was also found to differ significantly with the retail outlet patronized. One-stop shopping center customers were much more responsive to the coupons and redeemed a much higher percentage than conven- tional supermarket shOppers. ! In addition to the analysis of the data necessary to test the research hypotheses, a multiple discriminant analysis was used to combine fourteen of the research var- iables. The fourteen variables were convenience, economic and promotional in nature. The analysis indicated that the one-st0p shopping center customers were more interested in the convenience and economic aspects of Shopping, while conventional supermarket shOppers appeared to be more con- cerned with the promotional aspects of shopping. CHAPTER V SUMMARY AND CONCLUSIONS The final chapter of the dissertation is composed of five sections. The chapter begins with a general sum- mary of the background and nature of the research. The second section of the chapter presents an evaluation of the research hypotheses based on the findings presented in Chapter IV. The third section is concerned with the major conclusions of the research. In the fourth section of the chapter, the implications of the research are presented. Finally, the fifth section is concerned with suggestions for further research. General Summary of the Study The history of retailing in the United States has been a dynamic one. As the social and economic environment has changed, retailing has continually adapted to keep pace with the times. The change has been both revolutionary and evolutionary in nature, moving forward with great speed during some time periods and progressing slowly during other time periods. 157 158 It has been the summation of the revolutionary and the evolutionary changes, which has allowed the retail segment of the economy to keep pace with the changing wants and needs of the American consumer. McNair has labeled the process of change the "Wheel of Retailing," in which a bold new institution starts out as a low-margin, low-price Opera- tion and then gradually "trades-up" over time, until it emerges as a mature institution with high margins and prices. At the mature stage in the cycle, another insti— tutional innovation appears and the wheel turns again. Numerous examples of institutional innovation exist. The mail-order house, chain store and supermarket all started out as low-margin, low-price retail institutions. Each, in turn has "traded-up" over time, leaving a void for new types of retail institutions. The one-st0p shopping center, offering a product mix of general merchandise and food at lower margins than conventional outlets, is a re- cent example of such an institutional innovation. In addi- tion, the outlet offers a new level of convenience with all merchandise featured in one large shopping area to minimize consumer shopping effort. 'In spite of the importance of the institutional innovation to retailing and the American consumer, little is known about the actual process of consumer acceptance responsible for the success, or failure, of a new type of outlet. Neither the specific consumer market segments that 159 the new institution appeals to, nor the process by which the institution gains acceptance is well documented in the research literature. It was the object of the study to employ scientific research techniques to learn more about the process of consumer acceptance with respect to the selected institu- tion. To accomplish the task, the research investigated the segmentation of the consumer market resulting from the introduction of a oneéstop shopping center into a market previously served by two conventional supermarkets. “Al- though a number of related purchase decision areas were studied, the main thrust of the research was on the pur- chase of food necessary to meet family requirements. The research was conducted in a geographically concentrated area at the western edge of the Lansing, Michigan Standard MetrOpOlitan Statistical Area. The findings reported in the research were based on comprehen- sive interviews with 159 family units. In each family unit the woman of the household was the individual completing the comprehensive twenty page survey instrument used in the research. The research studied five major areas relevant to consumer decision making. The first three areas were con- cerned with identifying socio-economic characteristics, purchase motivation, and purchase behavior or patronage loyalty factors for respondents patronizing either the 160 one-stoP shopping center or the conventional supermarket to determine any differentiating characteristics between the two types of shoppers. The fourth area studied purchase behavior related to the purchase of food. The last area of the research studied the adopters of the one-stop shOpping center to determine any change in the research variables between the earlier and later adOpter segments of the con- sumer market. For purposes of the study, earlier adopters were defined as those family units which adOpted the one- stop shopping center during the first three months it was Open, while later adopters were defined as the family units adopting the institution after the first three months of Operation. Evaluation of the Hypotheses The following paragraphs review the hypotheses around which the study was organized, and the research findings pertaining to each. The research hypotheses were directly tested by the findings using a bivariate analysis. The research hypotheses were generated from five guiding hypotheses which were not directly tested. A multivariate analysis used on fourteen of the variables supports both the guiding hypotheses and the rationale behind the study, however. The guiding hypotheses are presented in Chapter V to lend structure to the chapter and assure that the re- search hypotheses are reviewed in the context of the total study. 161 Socio-economic Characteristics Guiding hypothesis 1 reads as follows: The profile of the consumer who concentrates foodppurchases in the one-stop shopping center is significantly different than the profile of the consumer who concentrates food purchases in the conventional Supermarket. The first guiding hypothesis was designed to focus a section of the research on the socio-economic character- istics of the shoppers frequenting each type of retail outlet. Seven research hypotheses were generated from the guiding hypothesis. The seven research hypotheses composing hypothesis l.A read as follows: Consumers who concentrate food purchases in the one-stop shopping center differ from consumers who concentrate food purchases in the conven- tional supermarket in terms of: l.A.l. Family Income; l.A.2. Age of the Household Head; 1.A.3. Occupation of the Household Head; 1.A.4. Family Size; 1.A.5. Level of Formal Education; 1.A.6. Family Life Cycle; 1.A.7. Social Class. On the basis of the data presented in Tables A-l through A-7, five of the research hypotheses must be re- jected. The findings indicated no significant difference bl {1' '1') pt! 162 between the two groups of shoppers in terms of: Family Income (l.A.l.), Occupation of the Household Head, (1.A.3.), Family Size (1.A.4.), Level of Formal Education (l.A.5.), and Social Class (1.A.7.). The research did find significant differences be- tween shoppers preferring the one-stop shopping center and the conventional supermarket in terms of the age of the household head (l.A.2.) and family life cycle (1.A.6.). Hypothesis l.A.2. can be accepted on the basis of findings presented in Table A-2. The data shows that the household head of families shopping in the one-stop shopping center was generally younger than the household head of families shopping in the conventional supermarket. Hypothesis 1.A.6. can be accepted on the basis of the findings pre- sented in Table A-6. The Table shows that the one-stop shopping center customers represent primarily younger fam- ilies, especially the younger families with children under ten. Effectiveness of Selected Elements in an InstitutionTs Mafketing Mix Guiding hypothesis 2 reads as follows: The impor- tance of the various elements in an institution's mar- keting mix to the consumer in motivating her to frequent aparticular institution varies significantlyybetween the consumer who concentrates food purchases in the 163 one-stpp shOpping_center and the consumer who concen- trates food purchases in the conventional supermarket. The second guiding hypothesis was designed to direct measure the effectiveness of a number of selected elements in the marketing mix. Five research hypotheses were gen- erated. The five research hypotheses contained in hypothesis 2.A read as follows: The importance of elements in the institution's marketing mix varies between the consumer who concentrates food purchases in the one-stop shop- pipg center and the consumer who concentrates food pur- chases in the conventional supermarket in terms of: 2.A.1. Price; 2.A.2. Quality; 2.A.3. Trading_Stamps and Promotional Games; 2.A.4. Coupons and Price Specials; 2.A.5. Private Label Merchandise. On the basis of the findings presented in Tables A-8 through A-19 the five research hypotheses must be re- jected. The findings of the research indicated little significant difference between the two groups of shoppers in terms of the motivational effect of the various elements from the institution's marketing mix used in the research. There was almost no difference in price awareness as shown in the Summary Table 4-1. The differentiating factor in quality was between conventional supermarket number one 164 and the other two stores, rather than the way pOSited in the research. Awareness of promotional games, price spe- cials and private label merchandise also failed to Show any significant difference between the two groups of shoppers. The data presented in Tables A-13 and A-15 did tend to partially support two of the research hypotheses, how- ever. Trading stamp saving behavior showed little differ- ence between the two types of shoppers, but trading stamp redemption was found to be significantly different. One- stOp shopping center customers had redeemed significantly less trading stamps for gifts within the last year. Also, for the one-stop shOpping center customers who did redeem the stamps, the gifts received were fewer and of less value than for conventional supermarket customers. The data would-tend to partially support the hypothesis concerned with trading stamps and promotional games (2.A.3.).' A significant difference was also found with re- spect to the use of manufacturer "cents-off" coupons. The data in Table A-15 was not significant, but aggregating the data into "users vs. non-users" showed that a significantly higher percentage of the one-stop shopping center customers had responded to this type of promotional effort. The data would tend to partially support the hypothesis concerned with coupons and price specials (2.A.4.). .165 Purchase Behavior and Patronage~ Loyalty Guiding hypothesis 3 reads as follows:» The purchase behavior and patronage loyalty of the consumer who concentrates food purchases in the one-stop Shopping center is sigpificantly different than the purchase behavior and patronage loyaltyyof the consumer who concentrates food purchases in the conventional super- market. The third guiding hypothesis was designed to guide the research in the area of purchase behavior and patronage loyalty. From the guiding hypothesis, five research hypo-- theses were generated. The five research hypotheses combined into hypo- thesis 3.A read as follows: Consumers who concentrate food purchases in the one-stop shopping center differ from consumers who concentrate food purchases in the conventional supermarket in terms of: 3.A.1. Number of Stores Shopped; 3.A.2. Percent of Shopping Done in First Chpice Store; 3.A.3. Average Size of the Customer Order: 3.A.4. Number of Shoppinqurips to Purchase Food per year: 3.A.5. Distribution of Purchases by Day of Week. 166 The five research hypotheses must be rejected on the basis of the findings presented in Tables A-20 through A-24. The data indicates little overall difference between shoppers preferring the one-stop shopping center-and shop- pers preferring the conventional supermarket. With the exception of the product categories of meat and groceries (see-Table A-21) there was no significant difference in the concentration of purchases by each group.- Conventional supermarket shoppers purchased a Significantly higher per- centage of their meat in the first preference store, while one-stop shopping center customers purchased a significantly higher percentage of their groceries (dry groceries as Opposed to all food purchases) in the first preference store. None of the other data achieved a sufficient level of significance to differentiate the two groups of shop- pers. The difference in number of stores Shopped, average size of the customer order, number of shopping trips per week, and the day on which purchases were made all failed to Show any statistical significance. Related Purchase Behavior Guiding hypothesis 4 reads as follows: Consumer preference for purchasing food in the one-stop shOpping» center or the conventional supermarket carries over into other areas of consumer purchasing behavior. 167 The fourth guiding hypothesis was designed to focus the research in areas of purchase behavior related to food shopping. Four research hypotheses were generated from the general hypothesis. The first three research hypotheses combined in hypothesis 4.A read as follows: Consumers who concen— trate food purchases in the one-stop shopping center are more likely to shop in similar lowered-margin retail institutions than-are customers who concentrate food purchases inthe conventional supermarket when they shOp for: 4.A.1. Convenience Goods; 4.A.2. Shoppipg_Goods; 4.A.3. Specialty Goods. Hypothesis 4.A.l. can be accepted on the basis of the findings presented in Table A-25. Hypotheses 4.A.2. and 4.A.3. cannot be accepted on the basis of the findings in Tables A-26 and A—27. The research findings indicated that all shoppers tended to purchase convenience items where they make other purchases (especially food purchases). However, the one—stop shopping center customers purchased a significantly higher percentage of the convenience items tested in the research at their first preference store than did the conventional supermarket customers. '168 The same pattern of purchases was found with respect to the purchase of prescriptions. The purchase of prescrip- tions was the only item of the Specialty goods tested, which significantly differentiated purchase patterns for the two types of shOppers. The data with respect to prescriptions wouldpartially support hypothesis 4.A.3. The other spec— ialtygoods and shopping goods failed to Show a significant difference in shopping patterns for each of the groups. The fourth research hypothesis (4.B) reads as fol- lows: Consumers who concentrate food purchases in the one-stop shopping center are more likely to be catalpg shoppers than are consumers who concentrate food pur- chases in the conventional supermarket. The research hypothesis pertaining to catalog shop- ping (4.B) can be accepted on the basis of the findings presented in Tables A-28 through A-30, and Summary Table 4-3. The research indicated that a significantly higher percentage of the one-stOp shopping center customers pur— chased merchandise through mail—order catalogs than con- ventional supermarket customers. Of the six general- merchandise mail-order catalogs tested in the research, the difference in the percentage of each group of shoppers having the catalog in the home was significant for four catalogs. In each case, the group having the higher per- centage was the one-stop shopping center customers. 169 In addition, the value of merchandise ordered through Specialty catalogs and other items ordered through the mail showed a significant difference between the two types of shoppers. The value of all other merchandise ordered through the mail was significantly higher for the one-stop shopping center customer. Characteristics of Adopter Family Units Guiding hypothesis 5 reads as follows: Earlier adopters of the one-stop_shopping center are signif- icantly different than later adopters of the one-stop shopping center. The final guiding hypothesis was designed to guide the research with respect to further study of the family units adopting the one-stop shOpping center as the primary source of supply for food. Four research hypotheses were generated. The first research hypothesis (5.A) reads as fol- lows: Earlier adopters differ from later adopters in terms of socio-economic characteristics. The research hypothesis (5.A) can be accepted on the basis of the findings presented in Tables A-32 through A-34 which indicate that earlier adopters and later adop- ters differ in terms of several socio-economic character- istics. The research indicated that there was a significant difference in the level of formal education of the household 170 head between adOpting categories with the earlier adOpters generally having a lower level of formal education than later adopters. The research also found a significant difference between the adopter categories in terms of family life cycle. While the majority of all adOpters were young families with children, the early adopters were dispropor- tionately concentrated in the category of young families with children under ten. Finally, the findings Show that there was also a significant difference between adopter groups in terms of social class. The data indicated that the earlier adopters were more concentrated in the lower social classes while the later adopters were drawn more heavily from the higher social classes. The other socio- economic variables tested in the research failed to show any significant differences between the adOpter categories. The second research hypothesis (5.B) reads as fol- lows: Earlier adopters differ from later adOpters in terms of the motivational effect of the various elements in_the institution's marketing mix. Based on the information contained in Table A—35 the research hypothesis (5.3) can be accepted. The data indicated a significant difference between adopter cate— gories in terms of the use and redemption of trading stamps. A significantly lower percentage of the earlier adOpter families had redeemed trading stamps for a gift within the 171 last year. In addition to the fact that a higher percentage of later adopters redeemed trading stamps for gifts, the data tended to indicate that the later adopters received a greater number of gifts of a greater total value than did the earlier adopter. None of the other elements from the institution's marketing mix showed any significant dif- ferences. The third research hypothesis (5.C) reads as fol- lows: Earlier adOpters differ from later adppters in terms of purchase behavior and patronage loyalty. The research hypothesis (5.C) cannot be accepted on the basis of the research findings. Of the five variables tested in the area, none was able to significantly differ- entiate the earlier adOpter from the later adopter. While some differences were found in terms of concentration of shOpping (Table A—38) and the number of shopping trips to purchase food per week (Table A-39) the differences were not found to be Significant. The fourth research hypothesis (5.D) reads as fol- lows: Earlier adopters differ from later adopters in terms of the carpy over of purchase behavior to other areas of consumer purchase decisions. The research hypothesis (5.D) cannot be accepted on the basis of the research findings. Neither the related areas of the purchase of convenience, shopping and specialty goods, nor the area of mail-order catalog shopping exhibited 172 any significant differences between the earlier adopters and the later adopters. A summary of the findings is pre- sented in Table 5‘1. Multivariate Analysis and the Guidinquypotheses The rationale underlying the study was that differ- ences did exist, and could be identified, between consuming units preferring to purchase food primarily in the one—stop shopping center and consuming units preferring to purchase food primarily in the conventional supermarket. Thus, the first four guiding hypotheses were formulated to identify the differences thought to exist. The bivariate analysis reviewed above indicated that the two types of shoppers did differ in a number of important respects. The multivariate analysis confirms and enlarges on the findings of the bivariate analysis, which indicated that the two types of shOppers were different. The multi- variate analysis analyzed the data in terms of a total configuration of fourteen measurements of the responding family units rather than analyzing each measurement singly. Thus, the multivariate analysis studied the gestalt of the individual factors influencing the selection of a place to shOp for food. The multivariate analysis resulted in a distinct differentiation of the two types of shoppers in the discrim- inant function space. 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Thus, the combining of the research variables resulted in an even more distinctive identification of the different types of shoppers than the bivariate analysis, lending support to both the rationale of the study and the guiding hypotheses. A simple correlation of the individual research variables with each of the retail outlets was computed as part of the multivariate analysis. On the basis of the correlations exhibited in Table 4-15 it is evident that the one-stop shOpping center customers were more oriented toward the convenience and economic aspects of shopping, while the conventional supermarket customers were more oriented toward the promotional aspects of Shopping. A more detailed review of the findings is presented in the section of Chapter IV entitled "Other Significant Findings." Major Conclusions The One-Stop ShOpping Center as an Institutional Innovation The findings of the research tend to support the broad thesis that the one-stop shopping center is an in- stitutional innovation. The research indicates that the one-st0p shopping center was originally perceived as a new type of retail outlet, lacking a broad base of consumer acceptance. Through the eighteen months prior to the 177 research it appears that consumer acceptance of the one- stOp shopping center grew both in depth and breadth. The research findings tend to indicate that when the new type of institution was first introduced into the research area, it had some of the "low-status, low—image" characteristics that McNair posited in the "Wheel of Re- tailing" theory. The earlier adopters were primarily lower class family units without significant advanced education. Over half of the earlier adopters had a formal education no greater than a high school education. During the eighteen months prior to the research the one-stOp shopping center had apparently "overcome" the "low-status, low-image" characteristics through continued acceptance and growth. The present customer mix does not appear to be drawn disproportionately from any social class, income group, educational level, or occupation. Indeed, the customer mix has become more difficult to dif- ferentiate from the customer mixes of the two conventional supermarkets located in the area. The research indicates, however, that the customers shOpping in each type of retail outlet are still significantly different in a number of I important respects. 178 The Customer Mix of the One-Stop Shopping_Center The segment of the consumer market responding to the one-stop shopping center does have certain distinguish- ing characteristics. The research indicated that the seg— ment of the market primarily responsible for the acceptance and growth of the one-stop shopping center has been young families. Only twelve percent of the family units shopping primarily at the one-stop shopping center had household heads forty years of age. In addition, apprOximately two- thirds of the families with household heads under forty had children under ten years old. In essence, the segment of the market composed of young family units, especially with young children, has been responsible for the Success en— joyed by the new institution to date. A number of other characteristics seem to be assoc- iated with the segment of the market responsive to the one- stop shopping center. Several of the differentiating fac- tors will be discussed below. Before discussing the factors, it is interesting to note that the responsive segment of the market has not significantly changed their food shopping patterns and habits since the adoption of the one-st0p shopping center as the primary source of supply for food. No significant differences were found in terms of concentratiOn of shopping, number of stores shOpped, average order size, or the number of shopping trips per 179 week between the one-stop shopping center shoppers and the conventional supermarket shoppers. Adoption of the one— stop shopping center appears to have had little effect on the personal shopping habits of the customers. Both the bivariate and multivariate analysis indi- cates that the one-stOp shopping center customer is inter- ested in decreasing the shopping effort, or "convenience costs," necessary to complete the purchasing needed to supply the family unit. The bivariate analysis led to several findings supporting the conclusion. An indication of the attempt to reduce shopping effort is the finding pertaining to the purchase of other items in the retail outlet patronized for food. The one- stOp shopping center shoppers exhibited a much greater incidence of purchasing other merchandise when and where food shOpping was done. In the case of each of the conven- ience goods tested in the research, the one-stop shopping center shopper purchased a significantly higher percentage of each item where food purchases were made. The purchase of prescriptions in the one-stop shopping center also sup- ports the premise. The research indicated that the responsive segment of the market has attempted to reduce Shopping effort ex- pended in a second way also. The one-stop shopping center customers were found to be much heavier users of mail—order purchasing than conventional supermarket shoppers. The ‘3 180 one-stOp shOpping center customers generally had more mail- order catalogs in the home and ordered more general and specialized merchandise through the mail than conventional supermarket shOppers. While the distinct possibility exists that the motivation for the purchase of merchandise through the mail is partly economic in nature, the author feels that the convenience motive is inextricably tied into mail- order shopping. Although not conclusively backed up by the research findings reported to be significant, the bivariate analysis of the data tended to indicate that the responsive segment of the market was somewhat less "promotion" and "premium" oriented than the conventional supermarket shOppers. The lower redemption rate for trading stamps was an example of the decreasing interest in the area. The higher redemption rate for "cents-off" coupons also tended to indicate an increasing awareness of the money spent on food purchases. More conclusive were the findings of the multivar- iate analysis. The multiple discriminant analysis resulted in significantly differentiating the one-stop shopping cen- ter customers from the conventional supermarket customers. The combination of the fourteen measurements of the family units analyzed together as a group confirms the findings of the individual analysis of the variables. More important, by classifying the fourteen variables as convenience var- iables, economic variables, and promotional variables, a (4 181 more aggregate picture of each type of shopper becomes evident. The convenience and economic variables were found to correlate positively with the one—stop shopping center customers and negatively with conventional supermarket customers. The opposite was true of the promotional var- iables, which were primarily positive for the conventional supermarket customers and negative for the one-stop shop- ping center customers. Thus, it would appear that the one-stOp shopping center customers are indeed more inter- ested in the convenience and economic aspects of shopping, rather than the promotion aspects. Conversely, the conven- tional supermarket customers appear to be more interested in the promotional aspects of shopping. In summary, the customer mix of the one—stOp shop- ping center is composed primarily of younger families, especially the younger families with young children. Their purchase behavior and habits are not significantly different than shOppers purchasing food in conventional supermarkets. The responsive segment of the consumer market is, however, more interested in the convenience and economic aspects of shopping behavior, and less interested in the promotional aspects of shopping behavior, than conventional supermarket shoppers. P 182 The Adoption of the One-StppA Shopping Center The segment, or segments, of the market responsible for the acceptance and growth of the one-stop shOpping cen- ter appears to have changed over time. The research indi- cated that the earlier adopters were significantly different than the later adopters and present customers of the one- stop shOpping center. AS stated above, the research indi- cated that the one-stop shopping center did not have an 'extremely broad base of consumer acceptance at the time of introduction. The initial acceptance of the oneestop shopping center appears to have been the result of a narrower, more distinctive segment of the consumer market than the insti- tution presently serves. The earlier adopters were more heavily concentrated in the lower social classes and had fewer years of formal education than the later adopters of the institution. In addition, the earlier adopters were even more heavily concentrated among the young families with children under ten years of age, than was the case when the research was conducted eighteen months later. The research also tended to indicate that the earlier adopters had somewhat lower incomes than later adopters, but the evidence in the area of income was not conclusive. f0 183 With the exception of trading stamp redemption, which was much lower for the earlier adOpters than the later adopters, the other promotional variables tested failed to show a difference between the earlier and later adopters at a significant level. From all indications, the one-stOp ShOpping center has gained broader acceptance by consumers to the extent that the customer mix of the one-stOp shopping center is similar to the conventional supermarket's customer mix in many ways. However, the customer mix of the one-stop shop- ping center still has a number of important distinguishing characteristics as discussed in the preceeding section of the chapter. The most important of these characteristics are the young age of the shoppers, and their distinctive interest in the convenience and economic aspects of shopping. Implications of the Research for Retail Management Market Segmentation The one-stOp shOpping center and the conventional supermarket meet in direct, "head-on" competition in the market place as they vie for the consumer food dollar. While the research indicated that the one-stop shopping center does serve an identifiable segment of the consumer market, at the present time, its future growth can only be at the expense of the conventional supermarket. Thus, the continued acceptance and growth of the one-stOp shOpping 184 center is of interest to the executives of the one-stOp shopping center and conventional supermarket alike. Eighteen months after its introduction into the research area, the one-stop Shopping center has gained a fairly broad base of consumer acceptance. The customers of the one-stop shopping center are still a readily iden- tifiable market segment, however. The research has shown that the one-stop shopping center customers come generally from younger families who have children living at home. In addition to being extremely young, the respon- sive segment of the consumer market has several other characteristics which differentiate it from non-responsive segments of the consumer market. The research indicated that the segment of the consumer market responsive to the one-stOp shopping center is primarily interested in the convenience and economic aspects of shopping. Conversely, the segment of the consumer market shOpping in conventional Supermarkets appears to be more interested in the promo- tional aspects of shOpping. Thus, the segment of the consumer market responsive to the one-stOp shopping center is identifiable in terms of age, convenience and economics. The responsive segment is composed primarily of younger families who have recently entered the market place as consuming units. The segment is not primarily motivated by the various promotional tools available to the retail institution, but rather by 185 the convenience and economic aspects of shopping which result in the lowering of shopping effort and monetary costs to the family unit. Growth The heavy acceptance of the one-stop shOpping cen- ter by primarily younger family units, especially the fam— ilies with young children, has important ramifications for the business executive concerned with the growth of a specific retail enterprise. As shown in the research, approximately ninety percent of the family units frequenting the one-stop shopping center were family units in which the household head was under forty years of age. These younger family units not only represent a major segment of the present consuming population, but also represent the middle- age and older consuming units of the future. The fact that the majority of the one-stop shopping center shOppers are young family units gives the one-stOp shOpping center a distinct advantage over the conventional supermarket. It indicates that the one-stop shOpping cen- ter has successfully gained the acceptance and patronage of the new family units who have most recently entered the market place. The relatively new consuming units can be both the one-stOp shopping center's present and future customer mix. To continue the growth pattern that the one-stop shOpping center has had over the last few years, the 186 management must concentrate on two key approaches to ser- ving its customers. The executive of the one-stOp shOp— ping center must continually adjust the marketing mix of the institution toward two objectives. The objectives should be to: 1. Continually gain young family units as customers when they enter the market place as "new" consuming units. 2. Retain the young family units presently patron- izing the one-stop shOpping center as they move through the different stages of the life cycle. The mission is not an easy one, but it is not an imposSible one either. If the convenience factor of one- stOp shOpping can be sufficiently instilled in the one- stOp ShOpping center customer, as the research indicates it has, her desire for convenience and lowered shopping effort will probably be sufficient to continue patronage over the years. Conversely, if the conventional supermarket is to remain the dominant source of supply for consumer food purchases, the exeuctives of the conventional supermarket must take decisive action in the near future. The con- tinued growth of the one-st0p shopping center as a source of supply for food, and the resultant increase in market share, can only be achieved at the expense of the conven- tional supermarket in the long run. To prevent the rel- ative decline of the conventional supermarket, its 187 executives have three alternative courses of action they can take . The executives of the conventional supermarket can either: 1. See that the conventional supermarket does not continue to lose new family units to the one-stop shop— ping center, through gaining the acceptance and patron- age of an increasing share of the younger families entering the market place as new consuming units. 2. Continue to concentrate the marketing mix of the conventional supermarket toward the present customer mix of middle-age and older family units in the hope that the younger family units will "trade-over" to the conventional Supermarket as they progress through the different stages in the family life cycle. 3. Join the "trend" toward one-stop Shopping by adjusting the firm's market offering to reflect changing consumer desires through the addition of the one-stop shOpping center, or related elements of the one-stop shOpping center concept, to the firm's market offering. All three alternative strategies are presently available to the conventional supermarket executives. In part, elements of each alternative strategy should probably be adopted. Assuming that the firm is operating under the marketing philosophy, it would appear logical that the firm should attempt to adjust its market offering to better 188 reflect changing consumer desires. In fact, a number of leading food industry chains have chosen the third strat- egy of adjusting their market offering, and are now oper- ating one-stop shOpping centers and discount supermarkets in addition to conventional supermarkets. Assuming that the third strategy has either been adopted by the firm, or ruled out as a possibility, the first strategy must be considered a better alternative than the second strategy. While it is of critical impor— tance to keep the present customer mix satisfied so they are not lost to the competition, it is of even more impor- tance in the long run that the conventional supermarket encroach on the one-stop shopping center's ability to at- tract young family units. Only through the continual gaining of new customers, such as the new family units, can the conventional supermarket offset the normal attri- tion of present customers and maintain, or increase, its market share in the future. Competitive Strategy The findings of the research have a number of important implications pertaining to the selection of a competitive marketing strategy. The implications should be of interest to the executives of both the one-stop shop- ping center and the conventional supermarket. Both types of retail institutions need to attract new family units ta 189 entering the market place to survive in the long run. Thus, each type of retail institution must design at least a part of its marketing mix to attract the young family units the research found to be patronizing the one-stOp shopping center. The research findings indicated that the promotional orientation that most retail food outlets have used to date is no longer as effective as it was five or ten years ago. The newer family units preferring the one-stop ShOpping center are not motivated by the "traditional" promotional tools of games, contests and trading stamps to the extent that most of the conventional supermarket shoppers are. To continue emphasizing the promotional tools used by a great many retail outlets today, can only result in a con— tinued alienation of the new family units. To attract the younger families with their higher level of education and awareness, as well as their in- creasing emphasis on leisure and convenience, the success- ful retail outlet will have to match its market offering more closely with consumer wants and desires. The findings of the present study indicate that the way to match the consumer's needs and desires more closely is to increase the emphasis on the convenience and economic aspects of shOpping that the younger families find so important. In short, the marketing mix must emphasize the price aspects of the total shOpping bill and the convenience 190 of related lines of merchandise carried in a single retail outlet. The research indicates that the advantage presently lies with the one-stOp shopping center due to its lower priced image and assortment of related merchandise and product lines. The increased emphasis on convenience is important for both types of retail outlets, however. The consumer desires to purchase as many of her needs in a single store as possible. Thus, related product lines, especially con- venience goods, can increase patronage loyalty and profits to the institutions responding to the consumer's desire for convenience and price. The increased emphasis on convenience has ramifi- cations beyond the food industry also. From all indica- tions, the emphasis on leisure and convenience will con- Qinue in the future. As such, executives in all areas of Husiness dealing with the consumer may have to face major changes in their products and operations within the next decade. The heavier use of mail-order purchasing goes hand- in-hand with the emphasis on convenience. The next decade may also find a significant "upswing" in mail-order houses. fit is extremely possible that as consumers achieve higher Levels of income and more leisure time, the service and convenience aspects of all business units will gain con- tinued importance. The question is beyond the scope of the present research, however. § 191 Implications for Consumer Behavior Research The research led to several implications for future research in the area of consumer behavior. The implications relate to the measurement and analysis of consumer behavior as a tool for description and prediction. The bivariate analysis of the research variables used in the study was not as conclusive as anticipated. While many of the variables exhibited a distinct pattern, only a relatively small number were found to be significant. Combining a number of the measurements into "macro“ variables such as convenience variables, economic variables, and promotional variables was found to be useful. The analysis of several different measurements related to the three macro variables led to distinctive consumer behavior patterns being identified. i The finding would seem to indicate that, with the increasing complexities of our modern society with all its famifications on consumer behavior, individual variables analyzed singly, are unable to adequately measure, describe, and predict consumer behavior. What is evidently needed, as a "macro" approach in which a whole range of measure- fients is analyzed together rather than individually. ! Rarely is consumer behavior determined by any sin- gle cause. More often, consumer behavior is a result of alwhole range of different causes. Thus, it is necessary 192 to study the relevant variables together as a group, or a gestalt, rather than individually as is often done. Implications for theAdoption Process The research findings also lead to some implications relevant to the adoption of a new retail institution. As Shown in the research, the earlier adOpters were found to be younger family units, from lower social classes, and with fewer years of formal education. After the first three months of Operation, the one-stOp shopping center had broadened its base of consumer acceptance to include all social classes and educational levels. Thus, the younger family units, especially those with young children, have been the segment of the market most responsible for the new institution's growth. The fact that the one-stop shopping center's cus- tomers are young is only one of the identifying character- istics found in the research. AS discussed above, the research indicated that the responsive segment of the con- sumer market is extremely interested in the convenience and economic aspects of shOpping rather than the promotional aspects. Thus, the one-stOp shopping center shoppers are ihterested in both the total price of consumer expenditures, ahd the amount of shopping effort expended to complete the family purchasing. 193 Identifying the important charactertistics of the responsive segment has important implications to the exe- cutive charged with the success or failure Of a new type of retail institution such as the one-stop shopping center. The responsive segment should be kept in mind as corporate decisions are made all the way from selecting a proper location for a new institution, through selection of a product mix and price line to selection of the apprOpriate promotional mix. PrOper selection of the elements composing the new institution's marketing mix can determine the suc- cess or failure of the new institution. Unless the re- sponsive segment is appealed to in each of the areas men- tioned, the acceptance of the institution will be much more difficult to achieve. For example, a location with easy access to young families should be desired. The product mix and price lines carried should be originally adjusted to the needs and ability to purchase of the responsive segment. And finally the promotional mix should be designed to tell the respon- sive segment about the convenience and economic advantages available through One-stop shOpping and the fact that the institution is designed to serve the young consumer and her family's needs. Obviously, over time, if the new in- stitution desires to broaden its customer mix and retain customers as they progress through the life cycle, the Inarketing mix will have to change and broaden also. 194 However, this is much easier to accomplish after the in- stitution has gained its initial acceptance. Suggested Areas for Further Research The research effort has been primarily focused on determining the extent to which the consumer market seg- ments itself in response to the introduction of a new type of retail institution into a market area previously served by two conventional supermarkets. The segments were then studied to determine the differentiating characteristics of the two types of shoppers. In addition, the earlier adOpters and later adOpters of the one-stOp shopping cen- ter were studied to see how the responsive segment of the market changed over time. Based on the experience gained in the research, a number of areas for further research can be suggested. .The first area for further research would be to increase the breadth of the study in terms of the geographic area. Repetitions of the present study in numerous areas would also accomplish this purpose. The present research was concentrated in approximately six square miles. In the author's Opinion the research area was severely "under- stored" in terms of food outlets before the introduction of the one-stOp shopping center. If the area was truly "understored," it may have affected the findings. A lar- ger study including several heterogeneous research areas 195 would be aimed at determining the representativeness of the present research findings to other areas of the coun- try. A second research proposal would be concerned with gaining a greater knowledge of the motivational effect of the various elements in an institution's marketing mix. The research indicated little difference between the two groups of respondents in terms of the effectiveness of the various elements tested. Such a study would be designed to measure the effect of each of the various elements from the marketing mix on consumers shOpping in different types of retail outlets. The research would also be designed to measure the level of awareness and importance of each vari- able, as well as the interrelated effect Of the whole mix. A third research suggestion would be a similar study of consumers purchasing food in the different types of retail outlets. The methodology would be similar to the present study, but the variables studied would be con- cerned with the psychological makeup of the consumers. A study of this nature would be difficult and costly, but the rewards would be significant. The study would attempt to determine whether various psychological variables could better differentiate types of shOppers. In addition the study would add insight into the little known area of what causes specific purchase behavior and action. 196 A fourth study would be a longitudinal study to determine how purchase patterns and customer loyalties change over time. By necessity, the study would be a before-after experimental design with several measurements before a new institution opened for business and several measurements afterwards. Such a study would be primarily concerned with identifying the changes occurring in the subjects over time with respect to the introduction of a new source of supply for food. A fifth research suggestion would be develop the multiple discriminant analysis into a tool for prediction. Multiple discriminant analysis Significantly differentiated and identified the shoppers frequenting each of the stores used in the research. The proposed study would go one step farther and use the information gained in the present study to predict which group of shOppers a respondent is most likely to belong to, given the measurements used in the research. A sixth area for further research is concerned with the adOption of new institutions. By necessity, the pre- sent research could only look at earlier vs. later adopters of the one-stop shOpping center. The prOposed study would use a finer categorization of adopters such as Rogers has done as reported in Chapter II. The research would have to be conducted concurrent to the opening of the new in- stitution to be of maximum benefit. Such a study could 197 determine who are the real innovators in the adOption of a new institution and find the relevent characteristics for each of the adOpter categories. APPENDICES APPENDIX A Detailed Research Findings Pertaining Specifically to Chapter IV 200 con H.m «.ma «.mm e.- a.m e.m m.~ m.e » muommoam and m mm mm mm a a a ea a flea ooa m.v v.ma m.wm v.om m.m ~.~ m.m m.n w umxuwe lawman mm v ma em ma o N m h a Hence» |c0>coo ooa m.H >.ma m.mm m.m~ m.e m.oa m.H o.m w Monaco mcwmmonm we a He «N be m a a e c ooumuoco H96 can mmm.v~ mam.ea mmm.m mam.» amm.q mam.~ ooo.m~w nooo.mam uooo.oam nooo.aw -ooo.mw -ooo.mm uaoom mucoam nouncouumm amuoa umm oz macaw meoocH aaflesm MMOBm m0 NAME mudm ZH UZHmmomm mBHZD MAHde ho mZOUZH Hid mandfi 201 -TABLE A-Z AGE OF THE HOUSEHOLD HEAD FOR FAMILY UNITS SHOPPING IN EACH TYPE OF STORE* Store Age of Household Head Patronized No Re- Total sponse Under 30 30-39 40-49 50-64 65+ One-Stop n 0 16 20 17 9 4 66 Shopping Center % - 24.2 30.3 25.8 13.6 6.1 100 Conven- tional’ n 0 10 19 29 29 6 93 Super- market % - 10.8 20.4 31.2 31.2 6.5 100 All n 0 26 39 46 38 10 159 Shoppers % - 16.4 25.4 28.9 23.9 6.3 100 *Significant at the .05 level. 202 OOH v.4 O.OH O.O O.Om O.OO ~.OH H.OH O.H O mumamoem OOH a OH O OO OO HO OH O a HHa OOH O.O O.O ~.O O.OO O.HO H.OH O.O H.H O smegma lummom OO O O O ON OH OH O H a HmcoHu Icw>cou OOH O.O e.OH O.H O.OO O.OO O.OH H.OH O.H_ O umuamo 4 . mcflmmonm OO O HH H Om OH O O H a moumumco mumxuoz mumxnoz mommmcfimom mnmxuoz mumxuoz Aegean HOSOHO Omcomm m o emHHHxO emHHHxO HHmsO mo emHHHxO emueaHe -mmeoum ummmonm umm oz emNHconu H u a ISD IaEmm muoumflumoum H:H.mxumau IHEOm lam ououm coaummoooo mmOBm ho mmMB mudm ZH UZHmmomm mBHZD MAHS4M mom 94mm aflommmDOm mmB m0 20H84QDUUO mld mamfia 203 ooa m.a O.o H.oa o.va m.m~ o.mH m.o~ ~.m .mnoomonm OOH m H OH nu ma OO mm m HH4 OOH ~.~ H.H 0.0 0.0H H.Om O.H~ O.m~ 0.0 unease .Iummom mm m H O oa mm om mm a fleece» Icm>coo 00H o.m nu: «.ma o.o~ ~.mm «.ma m.ma m.H umucwo mcwmmonm OO O O OH OH OH OH HH H moumumao Hmuoe O O O O O O m H OmuHcouumm unease: haefidh mo nonesz muoum H I.“ MMOBm m0 mmwfi modm ZH UZHmmomm mBHZD VAHZ4h m0 ENHm Vld mdmflfi 204 OOH I m.m m.v m.mN m.o¢ H.mH m.v HMH .. 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Icm>coo SHOM O OOH I I O.H O.O O.OO O.H H.OO Hmncmo OHO mchmonm OO O O H O ON H OO OouOImco Hmuoa ON ONIOH OHIHH OHIO OIH Oamz 30m m>mO Hm>o 30cm u.coo u.coo mfimum .m>mw mo mews pm>mm mxoom mo .HmnEHHz I“ UmocHOCOUIINHl4 mqm4B I ‘1 .mpcmocommmu mchmHE muozm .Hm>mH OO. mnu um OSOOHMHCOHOO 220 OOH O.OO O.OH O.OO OOH O.ON O.HO O.OO O mumamoam mOOH NO ON HO OOOH OO OO HO O HHO OOH O.OO 0.0H O.OO OOH O.OO 0.00 O.ON O umxume IHonm OO OO OH ON NO OO NO ON a HmcoHu Icm>coo OOH N.OO O.OH O.HO OOH O.HN O.ON O.HO O Hmuamo mchmonm OO ON O OO OO OH OH OO a mouOImao Hmuoe +HHO OHIHO mcoz Hmuoe mHoz no 039 moo mcoz OmNHcouumm pm>Hmomm OHMHU mo mon> Um>Hmomm OHMHU mo Hmneoz muoum HOoHumm anaoz NHO «mmoem Oo mmwe OOOO zH ozHOmomm OOHZO OHHzaO Om onemzmomm Ozeem ozHoeme OOOomme om>Hmomm OOOHO Oo OOH4> Oze Ommzaz MHld mqmfifi 221 mmemo me Mom OOH H.OH 0.0H 0.00 OOH H.O O.NH 0.00 ucmonmm mmmum>4 OOH N.N O.OH H.OO OOH I H.NH 0.00 O =0Och OO N OH HO OO O O OO O pcom pHOU: OOH N.M 0.0 0.00 OOH H.NH 0.0 M.OO O Ooum OO O O OO OO O O OO : umasw. OOH N.N N.N 0.00 OOH I I OOH O =£mmo OO N N OO OO O O OO O 3OOOHO. OOH 0.0N O.NN O.HO OOH 0.0H 0.0H O.MO O :mOcHM OO ON HN OO OO OH HH NO a mo uuoOO= OOH I I OOH OOH I I OOH O .omch MO O O MO OO O O OO O mocOOO OOH 0.0N O.MO H.OM OOH 0.0H 0.0M O.HO O =>oumo OO ON OO ON OO O ON OO a shoe OOHO. Hmuoa pmmem mama coHuHcmoomm Hmuoe omOOHm mEmo coHuHcmoomm m>mm mNHcmoomm oz m>mm mNHcmoomm oz II mEmo Hmeoumoo umxumfiummom HchHucm>coo Hmeoumnu Hmucmo mcHemocm moumImco HchHuonum ummmocm mo mama comm an coHuHcmoomm OHI¢ WHM4B mmOBm m0 mmMB mofim ZH UZHmmomm mBHZD NHHEfih wm mmzdo Q24 mBmMBZOU HdZOHBOEOMm m0 mmmzmm<34 222 TABLE A-15 REDEMPTION OF MANUFACTURER "CENTS-OFF" COUPONS BY FAMILY (One Month Period) UNITS SHOPPING IN EACH TYPE OF STORE Number of Coupons Redeemed Store Patronized None 1 2 3 4 5 6 Total One-Stop n 33 17 9 4 2 1 0 66 Shopping Center % 50.0 25.8 13.6 6.1 3.0 1.5 - 100 Conven- tional n 63 14 9 5 l 0 l 93 Super- Market % 67.7 15.1 9.7 5.4 1.1 - 1.1 100 All 96 31 18 9 3 l l 159 Shoppers % 60.4 19.5 11.3 5.7 1.9 1.1 1.1 100 TABLE A-l6 VALUE OF MANUFACTURER "CENTS-OFF" COUPONS REDEEMED BY FAMILY UNITS SHOPPING IN EACH TYPE OF STORE (One Month Period) Value of Coupons Redeemed Store Patronized No Re- $.00 $.26 $.51 $.76- $1.01 Don't To- sponse None -.25 -.50 -.75 1.00 + Know tal One-Stop n 1 33 17 10 2 0 2 66 Shopping Center % 1.5 50.0 25.8 15.2 3.0 - 1.5 3.0 100 Conven— tional n 0 63 20 4 2 l 3 93 Super— market % - 67.7 21.5 4.3 2.2 1.1 3.2 100 All n l 96 37 14 4 1 5 159 Shoppers % 0.6 60.4 23.3 8.8 2.5 0.6 0.6 3.1 100 OOH I I N.N O.OO OOH O.H O.H H.O O.OO O OHuomuuoo OmoHuO OO O O N HO OO H H O OO O OHOHUOOO muHmo OOH I H.H N.N O.OO OOH I I O.H O.OO O OHuoouuoo OmoHum OO O H N OO OO O O H OO O OHOHommO mooponm OOH I N.O O.O O.HO OOH I I 0.0 O.OO O OHuomuuoo meHHm OO O O O OO OO O O N OO O mHmHumOO ummz OOH N.N O.O 0.0 O.OO OOH O.H H.O N.OH N.OO O OHuumuuoo .B meHHm 2 OO N O O OO OO H O NH OO O mHmHommO mnmoouo Hmuoa mHmHommm mHOHO HOHO mcoz Hmuoa mHOHommm mHOHO HOHO mcoz muoz Ho M Imam N Imam H mHOz HO M Imam N Imam H whommumo umxumfiumaom HMSOHucm>cOU Hmucmo mchmocm moumlmco Hospoum pmNHcouumm mnoum he pmNHcmoomm mHmHommm mo HmoEsz HMOBm m0 mmwfi mU¢m ZH OZHmmomm mBHZD MHHde Mm NHBUHMMOU QMUHMm deHummm DmmHBmm>Q¢ m0 mmmZDZ OHI¢ MHmde [r 224 OOH H.O O.O O.HH O.HN N.OO O.NH 0.0H O.O mummmonm OOH O OH OH OO OO ON ON H HH4 OOH N.O O.O O.O O.OH H.OO H.OH H.OH O.H umxnma Inmmsm OO O O O OH ON OH OH H HOcoHu Icwbcoo OOH O.O H.O N.OH N.ON O.OO O.O H.NH I umpcmu mcflmmonm OO N O HH OH ON O O O mouOImco mmcommm muOB o m v m m a mqoz oz .m cmuflconumm H muoum unmflm m0 use wmuflcmoomm Hmnfisz mmOBm m0 mmwB moHmm m0 mmmSDZ malfi mqm¢8 II|II ‘Ill‘lllllll‘.l ILIIII Il‘ 225 TABLE A-l9 AWARENESS OF TWO PRIVATE LABEL BRANDS IN FIRST PREFERENCE STORE BY FAMILY UNITS SHOPPING IN EACH TYPE OF STORE Recognition of Private Labels Store ~ I , Didn t Rec- Recog- T t 1‘ Patronized N0 ognize Pri- nized Pri- O a Response vate Labels vate Labels One-Stop n 1 52 f 13 66 Shopping Center % 1.5 78.8 19.7 100 Conven- tional n 2 74 17 93 Supermarket % 2.2 79.6 18.3 100 A11 n 3 126 30 159 Shoppers % 1.8 79.3 18.9 100 TABLE A-ZO NUMBER OF STORES SHOPPED FOR FOOD BY FAMILY UNITS SHOPPING IN EACH TYPE OF STORE w Store Number of Stores Shopped Patronized 1 2 3. 4 5+ Total One-Stop n 2 18 28 10 8 66 Shopping Center % 3.2 27.2 42.3 15.2 12.1 100 Conven- tional n 12 32 26 15 8 93 Super- market % 12.9 34.4 28.0 16.1 8.6 100 All 14 50 54 25 16 159 Shoppers % 8.8 31.4 34.0 15.7 10.1 100 OHm>mH No. man um unmoflmaanmOO .Hm>mH HO. man an OOOOHOHOOOOO 226 OOH O.NO O.O 0.0 O.O OOH O.OO O.O O.O O.O OOH O.OO H.O O.O O.H O OOHOOOOO OOH HOH O HH O OO NO O O O OO OO O N H cmuoomIqoz OOH O.OO O.OH O.NH O.O OOH O.NO O.NH N.OH O.O OOH O.OO 0.0H H.O I O chmmonO OOH OOH ON ON O OO OO NH OH O OO HO HH O O OOOOumoouu OOH O.OO O.O O.OH O.O OOH O.OO O.O N.OH O.O OOH O.OO O.O O.OH O.O O OcOmmosm OOH OHH OH ON OH OO OO O OH O OO HO O O O : mosoonm ooa 52:. m6 m.m H.m.n 00H m.m~. mg. m.m m.w 00H m.om H.m ab M.O.Nwmcflmmonm mmH OHH dd 0H vN mm wh b w m we ow ¢ ¢ ma c «pom: OOH O.OO O.ON O.OH O.O OOH O.OO O.ON O.OH H.H OOH O.HO O.OO N.OH I O OcOmmoOO noom OOH OO OO ON H OO OO ON OH H OO HO ON NH O a Hmuoe Hmuoa wooa wmh wom wmm HmuOB wooa wmb wom wmm HMHOB wooa wmh mom wmm Ion lam Imm IH lob lam ImN IH lob lam ImN Ia whomwumo mummmonm Ham umxnm€uomsm Hmcoflucm>cou Hmucmo mcflmmonm moumumco uosvoum muoum nomm GO mcflmmonm mo cowumuucmocoo I II ‘I’ III‘ |" I'II‘ II mmOBm m0 mmwfi mU¢H.ZH UZHmmomm mBHZD MAHde wm mmHmowmadu BUDoomm Omaumqmm mom mflm¢mUmDm ho ZOHBdmaszZOU HNI< mqmdfi AVERAGE FOOD BILL PER SHOPPING TRIP FOR FAMILY UNITS SHOPPING IN EACH TYPE OF STORE 227 TABLE A-22 Food Bill per Shopping Trip Store Patronized $1-9 $10-19 $20-29 $30-39 $4o+ Total One-Stop n 10 20 12 14 10 66 Shopping Center % 15.2 30.3 18.2 21.1 15.2 100 Conven— tional n 18 39 15 11 8 91 Super- market % 19.7 42.8 16.4 12.0 9.1 100 All 28 59 27 25 18 151a Shoppers % 17.8 37.5 17.1 15.9 11.7 100 aNote missing responspondents. TABLE A-23 NUMBER OF TRIPS TO PURCHASE FOOD BY FAMILY UNITS SHOPPING EACH TYPE OF STORE Store Trips per Week Patronized One or less 2 3 4 5 7 Total One-Stop 37 12 11 2 3 l 66 Shopping Center 56.1 18.2 16.7 3.0 4.5 1.5 100 Conven- tional 39 30 11 8 2 1 93 Super- market 4l.9 32.3 11.8 8.6 2.2 2.2 1.1 100 A11 76 42 22 10 5 2 159 Shoppers 47.8 26.4 13.8 6.3 3.1 1.3 1.3 100 228 OOH O.O 0.0H 0.0H N.O 0.0H 0.0 O.O H.NO mummmonm OOH O ON HO OH ON O H HO HH4 OOH O.O H.OH N.OH O.O O.NN N.O I O.ON umxume Iuwmsm OO O OH OH O HO O O ON HmcoHu Iam>nou OOH H.O O.OH O.NN O.O H.O 0.0 0.0 O.OO umucmo Oawmmonm OO N O OH O O O H ON mouOImco .com .umm .Oum .HsnB .pmz .mmse .coz wmo Hmas Hmuoe IUHuHmm oz UmNOGOHumm muoum poom mo mmmnousm HOnmz mmOBm m0 mmwfi mudm ZH UZHmmomm mBHZD MAHZ¢m mom Kmm3 m0 Nda Mm mmmfimombm vmld mqmde it"- I cl" 229 .Hm>mH HOO. may Om OOOOHOHOOHOO 00H I I 0.0m m.HN I 0.0N O.HH m.m H.H O umucou mchmonm «mmsuo mm o 0 mm om 0 ON HH m H a HmaoHu COHu IOOOOOO -O.OO. OOH I I N.OH O.O I O.OO I O.H I O umucmo Imam mCHmmoam Icoz OO O O OH O O OO O H O a moumImco ooH H.H I H.H m.HH I 0.0H H.OO H.om H.H w umxnme Iummsm mm H o H HH 0 OH HO mm H : HmcoHu Ico>coo «mounmu OOH I I I 0.0 I H.OO O.H 0.00 O.H O umucmo IOOHo mchmonm OO O O O N O OO H ON H a moumImco Hmuoa HHmz muoum mnoum muoum muoum muoum Houcmu umxumfi mmmnousm mmcomm muHMHo wuw mono usdoo ucmfi mch Iuwmsm u.coo Iwm oz Imam IHHm> ImHo quwm Imonm HmcoHu Ho Ion moum Icm>cou 3ocx poopoum Imco u.coo OmcoHucmz umHuso HHOumm mo mmaa mQOOO mUZMHzm>ZOU QMBUMHmm mmdmumDm QHDOZ wmmB DMBflBm mmOBm m0 mmNB m0¢m ZH UZHmmOmm mBHZD quZ¢h mmmm3 led mqmdB 230 .Hm>mH Hoo. 6:» um HOOUHchOHOO 00H O.m m.O I H.om I I m.h m.mm 0.0H N.N umxumfi .Iuomdm mm m O 0 ON 0 o O Hm mH N HMCOH» Ico>coo «mmCHN Immmz 00H H.NH o.m I O.NN I I O.MO m.v H.NH m.H Hmucmo mchmonm mm m N o mH o 0 ON m m H moumImco Hmuoa HHmz oHOpm mnoum ououm muoum muoum Hmucou umxume mmmnonnm omcomm wuHmHo >9m mono assoc puma mCHm Iummdw u.coo Imm oz Imam IHHm> ImHo qumm Imonm HMCOHu Ho loo moum Ico>coo 30am posoonm Imco u.coa pmGOHucmz umHuso HHmumm mo mama Umscflucoollmmld mqmdfi 231 OOH I 0.0m I I O.m 0.0m I I O.HH N.m ummeE Iummsm mm O Om O O m Om O O HH m HMGOHuCOHmH> Ico>cou IwHwa OOH I m.mm I I 0.0 m.mO I I 0.0H I nwucmo OCHmmonm OO O NN O O O OO O O HH O moOOImco OOH H.H M.OH I I O.MN 0.0m O.HH H.H M.O N.N umxumfi Inomsm mm H OH O O NN mm HH H O N HMCOH» Icm>cou no Iummoe OOH I O.NN I I 0.0H m.om N.OH I N.mH I Houcwo maHmmonm OO O OH O O HH ON OH O OH O mouOImco Hmuoa HHmz muoum muoum muoum muoum muoum Houcou umxnmfi mmmnousm omaomm muHmHo hum mama assoc name mch Iummsm u.coo Imm oz Imam IHHm> ImHo qumm Imonm HMCOHU no Ion moum Ico>cou Bocx HOSUOHm Imco u.coo pmGOHucmz uoHuso HHmumm mo mama mQOOO OZHmmomm Dmfiumqmm mmdmumbm Q4003 wmmfi Dmfidfim mmOBm m0 mmwfi mvdm ZH UZHmmomm mBHZD wHHzfim mmwmz mmld MHQ¢B 232 OOH H.H O.NN I I v.m 0.0m H.H I O.NH N.N umxume Iummam mm H HN O O m Hm H O NH N HMGOHu Icm>coo mmHHmm Imuo OOH I 0.0H O.H I m.O N.OO O.H I O.mH I Houcmu OCHmmonm OO O O H O O OO H O O O mouOImco Hmuoa HHmz mnoum onoum muoum muoum muoum Hmucmo umxume mmmnousm mmnomm OHHMHU mum mayo ussoo usofi mch Iummnm p.coo Imm oz Immm IHHm> ImHo qumm Imozm HMGOH» Ho Iwo moum Icm>cou 3ocx nonpoum .Imco u.:oo OmGOHucmz.$0d#uo:meuom MOIomha JIII vmfiflflucoollmmld mamfia 233 .Hm>mH HmO. may um_u:OOHOHcOHOO OOH I I I O.MO H.H I m.O I N.N v.m O umxume , Iuomsm mm O O O OO H O O O N m a HchHUOmaoHu Icm>cooImHumm OOH I I I H.NO I I 0.0m I I O.m O Hmucmo Imum mchmonm OO O O O HO O O ON O O N : moumImco OOH I H.Om I I O.m O.MN I I 0.0H H.H O umxume Iummsm mm O mm O O m NN O O OH H a HMQOHu Icm>coo OHSm . m.cmz OOH I O.mO I I m.H O.mN I I H m I O Hmucmo mchmosm OO O NO O O H OH O O O O : mouOImao Hmuos HHmz mnoum muoum ououm muoum ououm Houcmo umxumfi ommnousm omaomm OOHMHU hum mama ucdoo acme mch Iummsm u.coo Imm oz Imam IHHm> ImHo qumm Imonm HMCOH» no Imo moum Icm>cou 30cm unspoum Imco u.coo pmcoHuamz uoHuso HHmumm mo mama Ll I‘l‘ mQOOG MBAdHummm Omaumqmm mmdeMDm QHDOK Mmme Qmadfim mmoam m0 mmNB m0¢m ZH UZHmmomm MBHZD MHHZdh mmmmz Omld mHmaou maHno OOH I m.mm I I I 0.00 I I N.OH I umuaoo maHaaonm OO O NN O O O NO O O NH O mouOImao Hmuoa HHmz mnoum muoum muoum muoum ououm Houaoo umxume mmmnouaa mmaoam OOHMHU hum mama uaaoo name maHa Inmaam u.aoa Imm oz Imam IHHM> ImHa quma Iaoam HmcoHu no Ima moum Iam>aoo 30am voapoua Imco u.:oa pmGOHuamz umHuao HHmumm no make I E 235 TABLE A-ZB MAIL-ORDER CATALOGS IN HOMES OF FAMILY UNITS SHOPPING IN EACH TYPE OF STORE Mail-Order Catalogs Possessed by Bach Group of ShOppers Catalog One-StOp Shopping Center Conventional Supermarket No Catalog Catalog No Catalog Catalog in Home in Home Total in Home in Home Total Sears* n 33 33 66 64 29 93 % 50.0 50.0 100 68.2 31.2 100 PenneY‘sn 53 12 65a 83 10 93 ‘ s 81.0 19.0 100 89.3 10.7 100 Mont- n 53 12 65a 86 7 93 ggflgfy 81.0 19.0 100 92.5 7.5 100 Spiege1*n 55 10 65a 87 6 93 % 84.1 15.9 15.9 93.6 6.4 100 A1den* 58 7 65a 90 3 93 % 88.6 11.4 100 96.8 3.2 100 John 63 2 65a 90 3 93 Plain % 96.2 3.8 100 96.8 3.2 100 *Significant at the .05 level. aNote missing respondent. 236 TABLE A-29 VALUE OF GENERAL MERCHANDISE ORDERED BY MAIL FOR FAMILY UNITS SHOPPING IN EACH TYPE OF STORE (3 Month Period) Value of Merchandise Store Patronized None $l-25 $26-50 $51+ Total One-Stop n 32 19 6 9 66 Shopping Center % 48.5 28.8 9.1 13.5 100 Conven- tional n 59 23 5 6 93 Super- market % 63.4 24.7 5.4 6.6 100 All n 91 42 11 15 159 Shoppers % 57.2 26.4 6.9 9.4 100 TABLE A-30 VALUE OF SPECIAL MERCHANDISE ORDERED BY MAIL FOR FAMILY UNITS SHOPPING IN EACH TYPE OF STORE* H _ _‘—_ Value of Merchandise Store Patronlzed None $1-25 $26—SO $51+ Total One-Stop n 18 42 6 0 66 Shopping Center % 27.3 63.6 9.1 - 100 Conven- tional n 43 40 7 3 93 Super- market % 46.2 43.0 7.5 3.3 100 All n 61 82 13 3 159 Shoppers % 38.4 41.6 8.2 1.9 100 *Significant at the .05 level. 237 TABLE A-3l INCOME OF FAMILY UNITS ADOPTING THE ONE-STOP SHOPPING CENTER m H Income Adopter $0- $5,000- . categ°ry 4,999 9,999 $10,000+ Total Earlier n 6 14 21 41 Adopters % 14.6 34.1 51.3 100 Later n 2 6 13 21 AdOpters % 9.6 28.5 61.9 100 All n 8 20 34 62a AdOpters % 12.9 32.3 53.8 100 aNote missing respondent. 238 .Hm>mH mo. ma» um uamoHMHcmHOO OOH 0.0 H.O 0.0H N.HN N.ON 0.0H 0.0 I 0.0 O Onmumoum OO N O HH OH OH O O O m a HHm OOH I H.O N.OH 0.00 0.0H 0.0 I I H.O O umumou< NN O N O OH m . H O O N a Hanna OOH O.O H.O O.OH H.O O.ON O.OH O.HH I O.O O umumoOO OO N O O O OH O O O m a HoHHumm Hmuoa umauo xuoz mmoHHou mmmHHou Hooaom Hoonom Hooaom Hoonom mmaoam mama pouon mfiom anm smHm mwmuw mpmuo Imm oz Ouomoumu Ipmuu IEoo cmumHa meow pmumHa 060m nouao a Iumoa I800 I800 n GOHumoanm HMEHom mo Hm>wa «mmBZmU UZHQmomm mOBmIMZO HEB UZHBmoad mBHZD NAHZ¢m mom finds mmB m0 ZOHadubom NMld mqmdfi 239 .Ho>oH OO. oau um uaooOwHamHmO OOH H.NH O.ON 0.00 0.0 O.H Ououmoom OO O OH OO N H HH4 OOH 0.0H H.O O.OO H.O O.O OuoumoOO NN O N OH N H uoumq OOH O.HH H.OO O.OO I I OuoumoOO OO O OH ON O O umHHuOm Ouuom. Ouuom, OHao aoHUHHaU Ouuom omaoam uo>o voom uo>o woo: aoHpHHao maao» nova: Doom Iom oz Houoe pHonomaom pHoaomaom HovHo \_pHonomaom whomouou .oHOch .omHHqu couoHHao oz noumoo¢ .couoHHao oz.¢muoHHOu oz oHoOo oOHH OHHEOO cO mmmum «MWBZWU UZHmmOmm mOBmIMZO mmB UZHBQOQ4 mBHZD MHHde mom MHUWU mmHH NHHde mma 2H mwdfiw mmld mqmda 240 .Ho>OH OO. no uqooHOHOOHOO OOH 0.0 O.M N.ON H.O m.mm N.OH H.O I I O.M O mmoum0p< OO N N OH O NN NH O O O N a HH< OOH H.O I O.mH I O.Hm O.Hm O.MH I I I O mmoumoac NN N O O O O O m O O O a momma .OOH I 0.0 0.0N H.O H.OO O.HH 0.0 I I 0.0 O Ououmoom OO O N MH O OH O n O O N a moHHmom mo3oa mo3oa mosoq mo3oa oHUnHz oHUUHz oHacHz oHpUOS mmoHo omaomm mozoq moBOH momma momma mo30H mo3oa momma momma momma Iom oz Hmuoa mo mo mo mo mmomouou uoon OHoon OHooOz oHoon noumoo< momma mo3oq momma momma mmoHU HoHoom «mmfizmu UZHmmomm mOBwImZO mmfi UZHBm004 mBHZD NHHde m0 mmdAU HdHUOm Onld mqm