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Xerox University Microfilms 300 N o rth Z w b R oad Ann Arbor. M ichigan 4*106 NELSON, Robert Neil, 1944A FIELD STUDY OF THE MEANS BY fHICH THE MICHIGAN D E P AW m n ' OF EDUCATION REDUCES UNCERTAINTY IN ITS ENVIRONMENT. Michigan State Uhiversity, Ph.D., 197S Education, administration Xerox University Microfilms , Ann Arbor, Michigan 48106 A FIELD STUDY OF THE MEANS BY WHICH THE MICHIGAN DEPARTMENT OF EDUCATION REDUCES UNCERTAINTY IN ITS ENVIRONMENT By Robert Neil Nelson A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Administration and Higher Education 1975 ABSTRACT A FIELD STUDY OF THE MEANS BY WHICH THE MICHIGAN DEPARTMENT OF EDUCATION REDUCES UNCERTAINTY IN ITS ENVIRONMENT By Robert Neil Nelson Purpose of the Study The purpose of the research was to describe and e x ­ plain the means by which the Michigan Department of Educa­ tion (MDE) reduces uncertainty about the continued supply of resources from its environment. Procedures Field study methodology was employed. The author spent approximately nine months on site at the central office of the MDE in Lansing, Michigan. Specific methods used included observation of meetings, interviews at v a r ­ ious levels of formality, and examination of documents p r o ­ duced by the agency. All personnel from the top four levels of the organization were interviewed. The major environmental elements were the state Legislature and Governor, the federal U.S. Office of Edu­ cation, the federal Congress and the interest groups in Michigan. Representatives from each of these were observed R obert N e i l N e l s o n or interviewed. The 1963 Constitution of Michigan was c o n ­ ceived to be an additional non-organizational element in the environment. After an initial period of exploratory research, seven major case studies were done. These were selected to represent the broad range of concerns of the agency. Results It was found that the MDE used four types of s t r a ­ tegies to reduce uncertainty about resources. First were preactive strategies in which the agency would gather data and enhance its own capacity to respond in anticipation of future need. Second, the agency would (rarely!) adopt a passive strategy thus ignoring or absorbing impact of change on its environment. Third, the agency would engage in r e ­ active strategies, changing its own structure or behavior after the fact. Fourth, MDE used proactive strategies such as conflict, exchange, co-optation, coalition and annexation to assure future resources. Preactive and proactive s tr a­ tegies were most common. Discussion Organizations using proactive strategies were thought to be typically powerful. In the case of MDE the agency was successful in reducing uncertainty over a diverse environ­ ment. It did not, however do so in an integrated fashion as a result. MDE is not powerful relative to its R obert N e i l N e l s o n environment even though there is little uncertainty about its supply of resources. There is more to control than elimination of uncer­ tainty. MDE lacks political power relative to other ele­ ments in its environment. Serving these diverse elements has led to diffuse control of resources in MDE, further weakening the agency. Concurrently MDE is rewarded, e s ­ pecially by the federal government, for quantitative re­ porting and regulation as a result of increased governmental aid to education. Consequently, MDE is becoming increasingly concerned with quantification and with rationality as a method of operation. The MDE Accountability Model exempli­ fies this. This trend toward rational management is in turn limited by the political subsystem. That is, if the rational behavior of MDE interferes with the wishes of politically powerful elements in the environment of MDE, the latter will be prohibited from further encroachment via the political subsystem. DEDICATION This work is dedicated to the ideal that learning can be a joyous and growing experience, and to those few who helped me to maintain belief in that ideal. those Connie is the first. Among A CK N OW L E D G M E N T S There are many persons who contribute to a large piece of research, more than can individually mentioned here. The senior staff of the Michigan Department of E d u ­ cation always had time to help, and did so with great p e r­ ception . The Middle Cities consortium provided a challenging assistantship which also helped increase my sources of data. Dr. Philip Cusick conceived the study and helped throughout. The other three committee members, Charles Blackman, Bill Faunce, and Sam Moore, were busy and insight­ ful critics and supporters. Connie, David and Karen maintained their support in the face of my neglect. Thanks to all. T A B L E OF C O N T E N T S Page ACKNOWLEDGMENTS ........................................ iii LIST OF T A B L E S ........................................... viii LIST OF F I G U R E S ........................................... ix Chapter I. INTRODUCTION.................................... 1 Purpose ........................................ 1 The Nature of the S t u d y ...................... 1 The Conceptual Framework: Overview ......... 3 6 General Systems T h e o r y ........................ Characteristics of a S y s t e m .................. 10 S u m m a r y ......................................... 13 Open Systems T h e o r y ..............................13 S u m m a r y ......................................... 17 Organizations as Open S y s t e m s .................. 18 The Range of Responses to Uncertainty . . . . 24 Passive Strategies............................. 28 Reactive Strategies ......................... 29 Proactive Strategies ...................... 33 A s s u m p t i o n s ...................................... 40 Overview of the D i s s e r t a t i o n .................. 41 II. THE MODEL FOR REDUCING UNCERTAINTY.............. 43 Defining the System to be S t u d i e d .............. 43 The Nature of Energy S o u r c e s .................. 45 Summary ................. 48 Selection of the Michigan Department of E d u c a t i o n ...................................... 48 The Environment of the Michigan Department of Education ................................ 50 Chapter III. Page The C o n s t i t u t i o n ........................... State G o v e r n m e n t ........................... State Interest G r o u p s .................... Federal Involvement........................ The Michigan Department of Education . . . . On the Concept of Uncertainty................ .................................... Summary. SO 53 54 56 62 73 75 REVIEW OF RELATED LITERATURE 76 ................ Studies of Non-Educational Organizations . . Studies of Educational A g e ncies ............. Conclusion IV. 77 85 10 8 THE METHODOLOGY USED IN THE S T U D Y ............110 Concerning the Adequacy of Field M e t h o d ­ ology ........................................... Ill Conclusions...................................... 133 The Methodology Used to Study the Michigan Department of Education .................. 135 Describing the Methods ...................... 143 Observing Meetings ......................... 143 I n t e r v i e w s ................................. 14 5 Reading Documentary Material ............. 147 Applying the M e t h o d s ........................... 148 Evaluating the Methodology .................. 165 Type of S t u d y ................................ 166 R o l e ........................................... 166 M e t h o d s .......................................168 I n t e r v i e w s .................................... 168 S o u r c e s ...................................... 168 S a m p l i n g ...................................... 169 The Bruyn-Homans Indices .................. 169 I n t i m a c y ...................................... 172 Research Teams ............................. 172 ................................ 173 Entry. Personal Acceptance ...................... 173 Validity: Public Presentation of Data . . 173 Validity: Future E f f ort s.....................174 On Serendipity and Validity.................. 174 Summary of the C h a p t e r ......................... 176 v Chapter V. Pa ge PRESENTATION OF THE RESULTS OF THE CASE STUDIES . . ..................................... 177 Overview of the C h a p t e r ........................ 178 Re-Introducing theAgency ..................... 179 The Accountability Model as Context .......... 183 The Issues and theO r g a n i z a t i o n ................ 186 Governing Education inMichigan .............. 189 198 Higher Education...... ......................... Introduction . . . . . ......... . . . . . 198 T e x t ............................................ 199 Interpretation...... ......................... 209 S u m m a r y ....................................... 212 Special Education.............................. 213 I n t r o d u c t i o n ............................... 213 T e x t ............................................ 215 I n t e r p r e t a t i o n .......................... . , 234 S u m m a r y .................... 239 Chapter 3: A Pyrrhic V i c t o r y ................ 240 Introduction ............................... 240 T e x t ............................................ 242 Interpretation...... ......................... 256 S u m m a r y ........................................258 Professional Development Center(s)............. 259 Introduction ............................... 259 T e x t ............................................ 260 Interpretation...... ......................... 267 S u m m a r y ........................................269 Post S c r i p t ................................... 269 Federal Programs and the Michigan Depart­ ment of E d u c a t i o n ............................ 270 Title I of E S E A ................................. 275 Introduction................................... 275 T e x t ............................................ 276 Interpretation...... ......................... 288 S u m m a r y ............ ......................... 291 Title I I I ........................................292 Introduction ............................... 292 T e x t ............................................ 293 Interpretation...... ......................... 304 S u m m a r y ........................................309 Title V: The Contingency F u n d ................. 309 Introduction ............................... 309 Text. . ............. 311 Interpretation...... ......................... 319 S u m m a r y ........................................324 Other C a s e s ..................................... 324 Introduction ............................... 324 The End R u n ................................... 325 vi Chapter P a ge Co-opting by H i r i n g ........................ 329 Councils and Commissions and Boards and C o - o p t a t i o n ............................. 333 Shared Memberships ........................ 337 Inter-Agency Meetings ...................... 339 Extra-Agency Interactions .................. 343 Intrepretation............................... 348 VI. SUMMARY AND C O N C L U S I O N S ...................... 351 S u m m a r y ........................................ 351 The Case in R e v i e w ........................ 35 2 The S t r a t e g i e s ............................ 355 The E n v i r o n m e n t ............................ 361 The R e s o u r c e s ............................... 364 Implications of the Research.................. 366 Environmental Diversity .................... 369 Control of Resources ...................... 372 Policy Making and Measurement ............. 377 The Rational World of M D E .................. 379 Preactive Filtering ........................ 381 A Model of MDE B e h a v i o r .................... 382 Researchable Propositions .................. 385 BIBLIOGRAPHY........................................ .. vii . L IS T OF T A B L E S Table 1. Page Organizational Strategies for Coping with U n c e r t a i n t y ............................... 27 2. The Environment of the Michigan Department of E d u c a t i o n .................................... 51 3. Federal Education Programs to be Administered by MDE in Fiscal 1976 ......................... 58 A Summary of the Elementary and Secondary Education Act 1965. . ...................... 60 4. 5. Organizational Chart of the Michigan Depart­ ment of E d u c a t i o n ................................67 6. A Description of the Six Steps of the MDE Rational Planning "Accountability" Model. . . 185 7. The Dominant Strategy Exercised by MDE in Each of the Case S t u d i e s ...................... 362 8. Elements of the Environment of MDE Which were Accessed by MDE During the Study . . . . * * ■ Vlll 364 L IS T OF F I G U R E S Figure Page I- Reducing uncertainty about energy supply . . . . 2. Using input to g r o w ................................. 14 3. Throughputs; converting input into output. 4. Basic model of an open system operating in an exchange with its environment............. .. ... 5 14 . 15 5. The range of concerns of the thirteen MDE service areas..................................... 69 6. Times at which different methods played a major role in r e s e a r c h ................................149 7. Sources for final, formal interviews 8. Methods used with various data s o u r c e s ......... 162 9. Interview checklist, used as a map for the final series of formal i n t e r v i e w s ............164 10. The location of the seven case studies accord­ ing to the organizational chart of MDE . . . .187 11. Public Act 198 12. Institutionalized Program for the Handicapped. 13. How MDE is encouraged to behave in a rational m a n n e r ........................................... 387 ............160 .................................... 235 .236 CHAPTER I INTRODUCTION Purpose The author’s purpose in the study was to describe and explain how the Michigan Department of Education attempts to reduce uncertainty in its environment. In order to do this, the major elements in the environment of the agency have been identified. also identified. The resources used by the agency are Finally, a list of strategies available to the agency for use in reducing uncertainty about the supply of these resources is presented. The way in which the agency uses these strategies to acquire a certainty of supply of resources from the major elements in its e n ­ vironment is illustrated in a series of seven case studies. In this chapter, the theoretical basis is presented and the model developed. Careful attention is given to the development of the strategies which an organization may use to reduce uncertainty in its environment. The Nature of the Study A field study of the Michigan Department of Education (MDE) was undertaken. While a thorough discussion of method­ ology is available in the third chapter of this report, a brief overview will be helpful at this early stage. 1 2 Initially, a relatively open question was addressed: "How does the Michigan Department of Education behave?" search was begun on site in October of 1974. Re­ During the autumn of 1974, about 30 interviews were conducted with p e r ­ sonnel from the top four levels of MDE. In addition to these semi-structured interviews, MDE personnel were observed at work, usually in meetings. These included meetings where only staff were present, public State Board of Education meetings and meetings involving other agencies. Some meetings of organizations in the environment of the MDE were also attended. Written documents by and about the agency were collected and examined. After the first two or three weeks of observing and interviewing, it became clear that the general question con­ cerning the behavior of the organization could be refined. The most common recurring theme in the observations was a search for predictability. A concern for eliminating u n ­ predicted threats, for planning and for control permeated the agency. Thus the general question was amended to read "How does the Michigan Department of Education reduce u n ­ certainty in its environment?" This abstraction was judged to be descriptive of the range of phenomena observed.* A *As will be evident in later sections of this chapter, the concept of reducing uncertainty was taken from the work of James D. Thompson, for the most part. In the present study, the concept of environmental uncertainty parallels Thompson's in Organizations in Action (New York: McGrawHill, 1967). Development of that part of the conceptual model in this study which describes how organizations reduce 3 large body of theoretical material dealing with this q ues­ tion was available. A conceptual framework emanating from open systems theory was developed. during the winter of 1975. This was accomplished Observations were continued during that time. Once the conceptual framework was developed and a large collection of descriptive data from the autumn r e ­ search had been amassed, more specific questions were gen­ erated. These were asked in formal interviews of selected personnel from the top five levels of the agency, plus members of the State Board of Education and representatives of other agencies from the environment of MDE. These in­ terviews dealt with seven case studies selected to broadly represent the activities of the agency. Responses from these interviews form the core of the data in this report; other data are used to supplement and clarify as needed. The Conceptual Framework: Overview Organizations are conceived of as dynamic open sys­ tems. This means that organizations may do more than just survive in a static balance: they grow, produce, and adapt. In order to do any of these things, energy is required by the organization. As will be explained in detail later in uncertainty by acting on their environments also owes a debt to Thompson's work. It should be made clear though that observations of such behaviors by the MDE were made prior to the selections of the uncertainty concept and that field data led to the conceptual model, not the re­ verse . 4 this chapter, energy sources for open systems are necessarily uncertain. This is because the sources of energy are out­ side of an open system, in its environment--and thus cannot be perfectly controlled. If organizations are open systems, they must import energy from their environments. Energy is needed for basic survival and for production or adaptation. Thus an organization, if it is an open system, will have an uncertain supply of energy and will have to seek to make that supply more certain. This effort will be ongoing. The Michigan Department of Education ceived of as an open system. (MDE) is con­ This means that the MDE must import energy from its environment. In order to describe that process, the sources of energy which exist in the e n ­ vironment of the MDE are identified. that energy takes--money, policy, are also described. The specific forms information, personnel-- Several strategies used by the MDE to seek a certain supply of energy are enumerated. It is this list of strategies that forms the core of the concep­ tual framework used in this study. For any attempt to reduce uncertainty concerning an energy supply, the following elements of the transaction can be identified: the system: -always MDE or some subset. the energy source -usually an organization from the environment of MDE. the resource -the form the energy takes, money, policy, information... 5 the strategy -the method used by MDE to re­ duce uncertainty about energy supply. Figure 1 is a graphic illustration of this process. It illustrates the special case of an exchange-type strategy used by the MDE to trade for resources. strategy enacted ENVIRONMENT: all energy sources are here m The SYSTEM: this study, MDE \ resource acquired FIGURE 1.--Reducing uncertainty about energy supply. Further description of the Michigan Department of Education is included in the second chapter of this disser­ tation. Identification of the organizations present in the environment of the MDE is also available there. In the balance of this first chapter, a complete discussion of the conceptual framework for the study is pre­ sented. First, the development and substance of General Systems Theory is presented. Open Systems is discussed. Second, the special case of Third, efforts to explain the behavior of organizations by using the Open Systems model are reviewed. Fourth, and last, the list of strategies available to organizations to cope with environmental u n ­ certainty is developed. 6 General Systems Theory For over a quarter of a century a new theoretical model known as General Systems Theory (GST) has been im­ pacting on diverse fields of science. Ludwig von Bertalanffy is generally credited as the first to conceptualize the Gen­ eral Systems model in the 1920's1 although little explora­ tion occurred until after World War II. In a later exploration, von Bertalanffy recalls that he saw a need to account for phenomena occurring across a wide range of scientific studies, phenomena such as "order, maintenance. . . regulation and apparent teleology." was observed that growth curves, 2 It for example, were similar whether one observed chemical reactions, y e a s t .cultures, rabbit populations, House lawn. information growth, or a mob on the White The changing slope of the curves--gradual, jL accelerated, asymptotic growth, dramatic decline--can be shown to be quite similar in these various instances. There was need to account for these and similar ob­ servations, mostly of biological and social systems. Av ail­ able knowledge and theory were not able to cope with the task. Classical physics dealt best with two-variable 1J.E. Haas and T.E. Drabeck, Complex Organizations (New York: MacMillan, 1973), p. 84. 2 Ludwig von Bertalanffy, "General Systems Theory-A Critical Review," General Systems , VII, (1962), p. 12. James G. Miller, "Toward a General Theory for the Behavioral Sciences," American Psychologist, X, Number 9, (September, 1955), p. 525". ’ 7 linear problems. to p r o b l e m s of Stochastic "unorganized a very large In v o n B c r t a l a n f f y 's v i e w , complexity, number new number of tha t is, of v a r i a b l e s , conceptual by v o n variate ability of systems "problems popping up e v e r y w h e r e General Systems a method of a large applied in w h i c h are operable. of o r g a n i z e d are a second but not and Theory infinite demand was c o n c c p t u a 1izing c o u l d not models be were It w a s in r e a c t i o n Bertalanffy began has come to be Kenneth "general known advocated such multi­ of empirical ■'‘v o n this as G e n e r a l work one parullalcd tha t apparent of often end model over­ sys- that which Theory. the m a n y scientists from that of von Bertalanffy. v i e w o f an e c o n o m i s t , he had developed t h e o r y , " 4 w h i c h has Bertalanffy, p. and social complex dead the adapta­ Mechanistic was to "General contributed Systems Theory," p . 12 . 2 Ibid., obvious context. Systems of conceptual biological "vitalism" development B o u l d i n g wa s whose point his to of a problem property the growth, in t h a t simple, the The to behavior explained von the physics. too terns. fields limitation and wholistic attributing From however, variables of as c om e b y other co mplexity,"1 instances interaction theoretical learning linear successfully problems. There was tion, were uncontrollable tools." Bertalanffy models 12. ^ I b i d . , p . 13. 4ilaas , C o m p l e x O r g a n i z a t i o n s , p. 84. to the 1962, a 8 present version of General Systems Theory. He shared another concern of von Bertalanffy and felt that "the crisis of science today arises because of the increasing difficulty of such profitable talk among scientists as a w h o l e . A way to assist in the dissemination and recognition of rele­ vant data is to adapt G.S.T. as a theoretical framework. This would, he argues, allow members in any branch of science to benefit from the results of work in other disciplines. The above promises, improved conceptual ability and better communication, are large and thus introduce the inves­ tigation of the specific nature of this model, General Sys­ tems Theory. What is a system? Several definitions do converge. In an early definition, von Bertalanffy defines systems as "sets of elements standing in interaction." 2 Later he re- fers to a system as a "complex of interacting components." 3 Boulding^ avoids any explicit definition, but it is evident that his is a very similar conception. fine it as follows: Hall and Fagan de­ "A system is a set of objects together with relationships between the objects and between their "'"Kenneth Boulding, "General System Theory--The Skeleton of Science," Management S c i ence, 2 (1956), p. 4. 2 Ludwig von Bertalanffy, "General System Theory," General Systems 1 , 1956, p. 3. T Ludwig von Bertalanffy, "General Systems Theory," 1962, p. 13. ^Boulding, "General Systems Theory." attributes. According to Laszlo and others "a system is a set of interacting functional relationships between various components which transform a set of inputs into a set of ? outputs.” Even more specifically, Miller says: "Systems are bounded regions in space-time, involving energy inter­ change among their parts which are associated in functional relationships and with their environments." While there can, as shown, be variations and level of specificity, there is an underlying in emphasis consensus that a system is composed of two or more elements and that some relationship between the elements is implied. Even this requires clarification. Any collection of items can, in the above definition, constitute a system. There is a relationship between me and a designated pine tree in Siberia. The distance between us is measurable; our common dependence on a carbon-oxygen cycle is indisputable. interesting. But neither observation is particularly Consequently, though systems are literally "in the eye of the beholder," it is unlikely that one would subject to investigation a system that did not contain some *A.D. Hall and R.E. Fagen, "Definition of System," General Systems I , 1956, p. 81. 2C.A. Laszlo, et. al., "A General Systems Framework for Social Systems," Behavioral Science, Volume 19, 2, (March, 1974), p. 79. ^Miller, "General Theory," p. 514. 10 interesting interdependent relationship.^ relationships that make the notion of It is "these 'system* useful." The importance of this notion will become more clear in the subsequent discussion of subsystems and supersystems. Characteristics of a System A system may be static or dynamic. static if it does not change with time. A system is Few static systems are naturally available. All systems, except the universe itself, exist within a larger environment. to that environment. These may be open or closed The special case of open systems will receive considerable attention later in this paper. It is quite correct to define the environment of a system as being composed of all elements and relations out­ side of the boundaries of the system. However, that defin­ ition would include many elements and relationships of no interest to members of the system or to observers of it. There would seem to be no point in requiring ourselves to attend to the whole universe when investigating some single system within it. Consequently, in this study, the Hall and Fagen definition of environment will be used: "for a ^David Easton, "A Systems Analysis of Political Life," W. Buckley, editor, Modern Systems Research for the Behavioral Scientist (Chicago: A l d i n e , 1968) , p p . 42 8-436. ^Hall and Fagen, "Definition," p. ^Miller, "General Theory,*' p. 514. 82. 11 given system, the environment is the set of all objects a change in whose attributes affect the system and also those objects whose attributes are changed by the behavior of the system.” 1 Systems are potentially hierarchical. systems ("except the smallest”) other smaller systems. All definable are made up of subsystems, Any system can be conceived to be a part of a larger supersystem. For example, if we view the College of Agriculture at Michigan State University as a system, we will note that it is composed of several subsys­ tems, the departments, and that it can also be conceived of as one element of a larger supersystem, The supersystem is simply part the University. (or all) of the environment of the system under study. Again, the specification is a matter of the intent of the observer, or, as Hall and Fagan put it, "the dichotomy of sets of related objects into system and environment d e ­ pends essentially on the point of view at hand.” 3 All systems must reckon with entropy. In physics the analog of the entropy concept is the second law of thermo­ dynamics. rundown. This simply states that physical systems tend to Energy tends to dissipate. 1Hall and Fagen, "Definition,” To survive at any p. 83, ^Miller, "General Theory," p. 514. 3Hall and Fagen, "Definition," p. 86. 12 level of complexity, a system must import energy from its environment. This can include information, heat or mater­ ial .1 A college as in the earlier example, needs a supply of resources: vive. money, students, faculty, in order to sur­ There are only two sources of energy: itself and the environment of the system. the system By definition, any given system except the universe itself can maintain only a finite supply of energy within its boundaries. Thus all systems which survive must be open at some point. "A system is closed if there is no import or e x ­ port of energy in any of its forms ... an example being a chemical reaction taking place in a sealed, insulated container." In other words, a closed system cannot maintain a state of negative entropy and so must eventually run down. The chemical reaction will cease; the yeast will die; the college will cease to offer courses. The concept of a closed system has some theoretical utility; one example is the "frictionless system" postulated in physics. Any system can be conceived of as closed, sim­ ply "by adjoining to the system that part of the environment 3 4 with which the exchange takes place." * 1Ibid., p . 86. ^ Ibid., p . 86. 3Ibid., p. 87. 4D. Katz and R. Kahn, The Social Psychology of O r ganizations (New York: Wiley, 1966) , p"! 5 8, also deal with this . 13 Summary Some general observations concerning systems have been made. A system may be static or dynamic. All systems have an environment with which they may interact. Systems are composed of subsystems and may be viewed as sub or supersystems. to survive. All systems must maintain negative entropy This is only possible in the long run for open systems, since closed systems do not import energy. Open Systems Theory Open systems are characterized by von Bertalanffy as representing a special case of General Systems Theory.* Consequently, attention at this point will be directed to some of the attributes peculiar to open systems theory, or at least more interesting in that context. An open system imports energy from its environment. This implies that an open system may be successful in re­ versing entropy and can thus survive over time while a closed system will have a finite life span. There are several possible results of a system's maintaining negative entropy. survive. First, the system is able to Second, it may use the imported energy to grow. 2 If this growth leads to higher complexity, the process is called anabolism. Third, the energy may be processed and *von Bertalanffy, 1962, p. 19. 2 Laszlo, et. al., "Framework/' p. 82. ■*von Bertalanffy, 1962 , p. 18. 14 output created and exported into the environment.^ In this instance, the energic input is said to have been catabolized. 2 At this point, our system looks like this: Anabolism A Input SYSTEM > V 4 FIGURE 2.--Using input to grow Catabolism SYSTEM Input f Output FIGURE 3.--Throughputs; converting input into out­ put . Open systems typically make use of feedback. means that, having impacted on its environment This (that is, by creating an output), a system will receive some reaction as a result of its action. This may take the form of energy, as in auto sales, When the market ideally. (environment) is appropriate, customers in the environment will buy cars (output) and the money will return to the auto makers to provide energy to make more cars. In other instances, *Katz and Kahn, Social Psychology, p. 19. ^von Bertalanffy, 1962, p. 18. IS the feedback will be only information (that is, no cars were sold) which will tell the auto maker not to produce further output until something improves. This implies that a system can "learn,” can modify its behavior. Thus, feedback can be in the form of energy or of information. The two are not mutually exclusive. Addition of a feedback loop would create a system like the following. Output Input SYSTEM (Process) t 1 Energy » ENVIRONMENT Information FIGURE 4.--Basic Model of an Open System Operating ito»tor*to ill l! St*tor?* f-o* 1*9 v-* Crwjri ------------------------ E 2 H . SC+OQL W* COMMIT* A*M*S DPMI i E » «rOi A M *F*«A3 ’Cto fw ^ .t___ m r ifiin toMMr*NMirr AMMMTUfltoi C M * (I4M' I 1 3 1 1 i Cr***'*ro" W mWIi HUfe^l •MLommiT ^*•1 A ^4»r0*0 E-Jjf^i 9* 1wr.| f 3l"IMK $V«IC«I lir »^a “71 r*Nv t>*«" t*v><« to*** v^ rc » Wv*to,i **e 5 Ca*’"w*4 Vl'Wto ?* Su» utotr* k>