Extending the Cyert-March Duopoly Model: Organizational and Economic Insights

Two studies were conducted to further explore the organizational and economic insights provided by the Cyert-March duopoly model (C-M) described inA Behavioral Theory of the Firm (ABTOF, Cyert and March 1963). Study 1 examined the extent to which two firms that differed solely in the decision behavior of a routine would also differ in organizational (quasiresolution of conflict, uncertainty avoidance, problem-driven search, and organizational learning) and economic (profit, price, market share, cost) measures and impacts. Three such manipulations were separately examined, where each manipulation altered the relative propensity of the firm to be more or less reactive to three events: production growth pressure, price adjustment under organizational goal conflict, and initial price adjustment under profit goal failure. Analysis of the behaviors revealed how subtle changes in these key routines could generate complex organizational and economic effects that impact firm success. The dominant result demonstrated that organizations that did not perform well organizationally did not perform well economically. In addition, higher reactivity resulted in higher costs, in part because of quantified organizational constructs (e.g., slack, pressure). Study 2 examined the data from the first study to determine the extent to which the performance of the duopoly was consistent with a set of eight stylized economic facts drawn from the empirical literature on oligopoly. Study 2 demonstrated consistency with five of the eight stylized economic facts and provided partial support for two others. We conclude that behavioral constructs of ABTOF, as articulated in the Cyert-March duopoly model, provide behavior and performance capabilities that bridge the gap between game-theoretic models of duopoly and the computational and informational realities of organizations.

[1]  Christoph H. Loch,et al.  A Punctuated-Equilibrium Model of Technology Diffusion , 1999 .

[2]  Myong-Hun Chang,et al.  Organizational Structure and Firm Innovation in a Retail Chain , 1997, Comput. Math. Organ. Theory.

[3]  James G. March,et al.  Crossroads---Organizational Performance as a Dependent Variable , 1997 .

[4]  B. McKelvey Perspective—Quasi-Natural Organization Science , 1997 .

[5]  M. Sastry Problems and Paradoxes in a Model of Punctuated Organizational Change , 1997 .

[6]  Tad Hogg,et al.  Training and Turnover in the Evolution of Organizations , 1997 .

[7]  H. Simon,et al.  The sciences of the artificial (3rd ed.) , 1996 .

[8]  P. Bromiley,et al.  Toward a Model of Risk in Declining Organizations: An Empirical Examination of Risk, Performance and Decline , 1996 .

[9]  YAN JIN,et al.  The virtual design team: A computational model of project organizations , 1996, Comput. Math. Organ. Theory.

[10]  David Rose,et al.  The principal-agent problem with evolutionary learning , 1996, Comput. Math. Organ. Theory.

[11]  Robert L. Axtell,et al.  Aligning simulation models: A case study and results , 1996, Comput. Math. Organ. Theory.

[12]  John H. Miller,et al.  The coevolution of automata in the repeated Prisoner's Dilemma , 1996 .

[13]  J. Conlisk Why Bounded Rationality , 1996 .

[14]  Michael X Cohen,et al.  Routines and Other Recurring Action Patterns of Organizations: Contemporary Research Issues , 1996 .

[15]  J. Kagel,et al.  Handbook of Experimental Economics , 1997 .

[16]  Renée Mauborgne,et al.  A Procedural Justice Model of Strategic Decision Making: Strategy Content Implications in the Multinational , 1995 .

[17]  Børge Obel,et al.  The validity of computational models in organization science: From model realism to purpose of the model , 1995, Comput. Math. Organ. Theory.

[18]  Kathleen M. Carley Computational and mathematical organization theory: Perspective and directions , 1995, Comput. Math. Organ. Theory.

[19]  Michael X Cohen,et al.  Organizational Routines Are Stored as Procedural Memory: Evidence from a Laboratory Study , 1994 .

[20]  G. Walker,et al.  Asset Choice and Supplier Performance in Two Organizations-US and Japanese , 1994 .

[21]  Theresa K. Lant,et al.  Computer simulations of organizations as experiential learning systems: implications for organization theory , 1994 .

[22]  John K Murnighan,et al.  Game theory and organizational behavior , 1994 .

[23]  S. Mezias,et al.  An Organizational Learning Model of Convergence and Reorientation , 1992 .

[24]  Kathleen M. Carley Organizational Learning and Personnel Turnover , 1992 .

[25]  R. Radner Dynamic Games in Organization Theory , 1991 .

[26]  Stephanie Forrest,et al.  Analogies with immunology represent an important step toward the vision of robust, distributed protection for computers. , 1991 .

[27]  J. March Exploration and exploitation in organizational learning , 1991, STUDI ORGANIZZATIVI.

[28]  J. March Decisions and Organizations , 1991 .

[29]  J. Sterman Misperceptions of feedback in dynamic decision making , 1989 .

[30]  M. Masuch,et al.  Beyond Garbage Cans: An AI Model of Organizational Choice , 1989 .

[31]  Alan H. Bond,et al.  Distributed Artificial Intelligence , 1988 .

[32]  J. Tirole The Theory of Industrial Organization , 1988 .

[33]  Richard Schmalensee,et al.  Collusion versus Differential Efficiency: Testing Alternative Hypotheses , 1987 .

[34]  James G. March,et al.  Adaptive Coordination of a Learning Team , 1987 .

[35]  Richard Schmalensee,et al.  Inter-industry studies of structure and performance , 1987 .

[36]  Dennis C. Mueller,et al.  Profits in the Long Run , 1987 .

[37]  Ian Domowitz,et al.  The Intertemporal Stability of the Concentration-Margins Relationship , 1986 .

[38]  R. Glenn Hubbard,et al.  Business Cycles and the Relationship between Concentration and Price-Cost Margins , 1986 .

[39]  Dennis C. Mueller,et al.  Profits in the long run: Index , 1986 .

[40]  Dennis C. Mueller,et al.  Profits in the long run: Acknowledgments , 1986 .

[41]  Domestic concentration, foreign trade and economic performance , 1985 .

[42]  Mark Hirschey,et al.  Market Structure and Market Value , 1985 .

[43]  Daniel A. Levinthal,et al.  Learning from Experience in Organizations , 1985 .

[44]  M. Tushman,et al.  Organizational Evolution: A Metamorphosis Model of Convergence and Reorientation , 1985 .

[45]  R. Thompson Structure and Conduct in Local Advertising Markets: The Case of Irish Provincial Newspapers , 1984 .

[46]  M. Salinger Tobin's q, Unionization, and the Concentration-Profits Relationship , 1984 .

[47]  S. Winter,et al.  An evolutionary theory of economic change , 1983 .

[48]  J. Pfeffer Organizations and Organization Theory , 1982 .

[49]  Lawrence B. Mohr,et al.  Explaining organizational behavior , 1982 .

[50]  Daniel A. Levinthal,et al.  A model of adaptive organizational search , 1981 .

[51]  R. Burton,et al.  A Computer Simulation Test of the M-Form Hypothesis , 1980 .

[52]  H. Simon,et al.  Models of Thought , 1979 .

[53]  H. Marvel Competition and Price Levels in the Retail Gasoline Market , 1978 .

[54]  L. Weiss,et al.  Advertising, Concentration, and Price-Cost Margins , 1976, Journal of Political Economy.

[55]  Johan P. Olsen,et al.  Ambiguity and choice in organizations , 1976 .

[56]  Allen Newell,et al.  A theoretical exploration of mechanisms for coding the stimulus , 1972 .

[57]  R. C. Skinner The Determination of Selling Prices , 1970 .

[58]  Herbert A. Simon,et al.  A chess mating combinations program , 1966, AFIPS '66 (Spring).

[59]  H. Simon,et al.  On the concept of organizational goal. , 1964 .

[60]  M. Shubik,et al.  A Behavioral Theory of the Firm. , 1964 .

[61]  W. Bion,et al.  Learning from experience , 2007 .

[62]  R. Cyert,et al.  Computer Models in Dynamic Economics , 1961 .

[63]  S. Siegel,et al.  Nonparametric Statistics for the Behavioral Sciences , 2022, The SAGE Encyclopedia of Research Design.

[64]  James G. March,et al.  Organizational Factors in the Theory of Oligopoly , 1956 .

[65]  S. Fiske,et al.  The Handbook of Social Psychology , 1935 .