TITLE: March-ing forward by leaps and boundary spanning: Coevolutionary
dynamics of the adaptive tension between exploration and exploitation SPEAKER: Brian F. Tivnan The MITRE Corporation & Executive Leadership Doctoral Program George Washington University LOCATION: 624 Agua Fria Conference Room TIME: Wed June 14, 12:30p Lunch will be available for purchase ABSTRACT Recognizing the inherent strengths of simulation-based research, James March proved to be one of the earliest pioneers of simulation as a methodological approach in organization science (e.g., Cyert and March's (1963) Duopoly Model and Cohen, March and Olsen's (1972) Garbage Can Model). March appreciates that simulation provides the researcher a platform: (a) to explore the inherent complex dynamics of organizations (Dooley & Van de Ven, 1999; Simon, 1962), (b) to conduct experiments that would typically be impossible or impractical in the physical world (McKelvey, 1997), and (c) to study sets of actors who possess an adaptive capacity (Axelrod, 1997) as an alternative to rational actor assumptions which overlook the boundedly rational limitations of their actors (Simon, 1976). Because March's (1991) paper - "Exploration and Exploitation in Organizational Learning" has emerged as a seminal paper in organization science, the Organizational Code Model (OCM) represents an ideal candidate for replication. As with Prietula and Watson's (2000) replication and extension of the Duopoly Model, the following four points provide support for replication of the OCM: (a) replication and repeatability represent two of the hallmarks of simulation as a research methodology, (b) replicating the OCM in a modern modeling framework (e.g., Repast) and providing it to the scholarly community in an executable form brings the research to life through the addition of visualization and user interfaces, and (c) this additional availability should increase comprehension within the scholarly community for the OCM dynamics and the robustness of March's findings, and (d) replication from the model description in the published paper allows for the establishment of relational equivalence (Axtell, Axelrod, Epstein, & Cohen, 1996) between the original and replicated models but also highlights the necessity for additional information on the statistical distributions of the original results to establish distributional equivalence. If available in an executable form, the original OCM provides a platform to conduct additional experiments of seminal concepts in organization science from March and other theorists. For example, the OCM supports Ashby's (1956) Law of Requisite Variety when comparing the complexity of the organization to that of the environment. Furthermore, the original OCM can also be used to support other March contributions to organizational learning concepts, namely the respective absorptive capacity (Cohen & Levinthal, 1990) of competing organizations and the path dependent nature of organizational learning induced by competency traps (Levitt & March, 1988). In addition to conducting supplementary experiments with the original OCM, a replication of the OCM could also facilitate its extension. Some possible extensions to March's OCM include: (a) boundary spanning organizational members (Hazy, Tivnan, & Schwandt, 2003; Tushman & Scanlan, 1981) for a direct interface to the environment and increase member heterogeneity in lieu of random replacement of members; (b) interactions between organizational members and boundary spanning members governed by the emergence of trust (Macy & Skvoretz, 1998); (c) generation of the competitive context to which March alludes in his closing comments with multiple instantiations of the OCM as the Organizational components (Tivnan, Forthcoming); and (d) extension of this competitive context to also consider collaborative relationships between organizations (Tivnan, 2004). REFERENCES Ashby, W. R. (1956). An Introduction to Cybernetics. London: Chapman & Hall. Axelrod, R. (1997). Advancing the Art of Simulation in the Social Sciences. In R. Conte, R. Hegselmann, & P. Terna (Eds.), Simulating Social Phenomena (pp. 21-40). Berlin: Springer. Axtell, R., Axelrod, R., Epstein, J. M., & Cohen, M. D. (1996). Aligning Simulation Models: A Case Study and Results. Computational and Mathematical Organization Theory, 1(2), 123-141. Cohen, M. D., March, J. G., & Olsen, J. P. (1972). A Garbage Can Theory of Organizational Choice. Administrative Science Quarterly, 17(1), 1-25. Cohen, W. M., & Levinthal, D. A. (1990). Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly, 35(March), 128-152. Cyert, R. M., & March, J. G. (1963). A Behavioral Theory of the Firm. Englewood Cliffs, NJ: Prentice-Hall. Dooley, K. J., & Van de Ven, A. H. (1999). Explaining Complex Organizational Dynamics. Organization Science, 10(3), 358-375. Hazy, J. K., Tivnan, B. F., & Schwandt, D. R. (2003). The Impact of Boundary Spanning on Organizational Learning: Computational Explorations. Emergence: A Journal of Complexity Issues in Organizations and Management, 5(4), 86-124. Levitt, B., & March, J. G. (1988). Organizational Learning. Annual Review of Sociology, 14, 319-340. Macy, M. W., & Skvoretz, J. (1998). The Evolution of Trust and Cooperation Between Strangers: A Computational Model. American Sociological Review, 63(October), 638-660. March, J. G. (1991). Exploration and Exploitation in Organizational Learning. Organization Science, 2(1), 71-87. McKelvey, B. (1997). Quasi-Natural Organization Science. Organization Science, 8(4), 352-380. Prietula, M., & Watson, H. S. (2000). Extending the Cyert-March Duopoly Model: Organizational and Economic Insights. Organization Science, 11(5), 565-585. Simon, H. A. (1962). The Architecture of Complexity. Proceedings of the American Philosophical Society, 106 (December), 467-482. Simon, H. A. (1976). Administrative Behavior (Third ed.). New York: Free Press. Tivnan, B. F. (2004, September 19, 2004). Coevolutionary Dynamics of Strategic Networks: Weak Ties and Boundary Spanning. Paper presented at the Inquiries, Indices, and Incommensurabilities: Managing Emergence, Complexity and Organization, Washington, DC. Tivnan, B. F. (Forthcoming). Coevolutionary Dynamics and Agent-Based Models in Organization Science. In M. E. Kuhl, N. M. Steiger, F. B. Armstrong, & J. A. Joines (Eds.), Proceedings of the 2005 Winter Simulation Conference . Piscataway, NJ: Institute for Electrical and Electronics Engineers. Tushman, M. L., & Scanlan, T. J. (1981). Boundary Spanning Individuals: Their Role in Information Transfer and Their Antecedents. The Academy of Management Journal, 24(2), 289-305. |
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