Abstract
This study introduces the particle swarm metaphor to the domain of organizational adaptation. A simulation model (OrgSwarm) is constructed to examine the impact of strategic inertia, in the presence of errorful assessments of future payoffs to potential strategies, on the adaptation of the strategic fitness of a population of organizations. The results indicate that agent (organization) uncertainty as to the payoffs of potential strategies has the affect of lowering average payoffs obtained by a population of organizations. The results also indicate that a degree of strategic inertia, in the presence of an election mechanism, assists rather than hampers adaptive efforts in static and slowly changing strategic environments.
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References
Blackwell, T.: Swarms in Dynamic Environments. In: Cantú-Paz, E., Foster, J.A., Deb, K., Davis, L., Roy, R., O’Reilly, U.-M., Beyer, H.-G., Kendall, G., Wilson, S.W., Harman, M., Wegener, J., Dasgupta, D., Potter, M.A., Schultz, A., Dowsland, K.A., Jonoska, N., Miller, J., Standish, R.K. (eds.) GECCO 2003. LNCS, vol. 2723, pp. 1–12. Springer, Heidelberg (2003)
Gavetti, G., Levinthal, D.: Looking Forward and Looking Backward: Cognitive and Experiential Search. Administrative Science Quarterly 45, 113–137 (2000)
Kauffman, S., Levin, S.: Towards a General Theory of Adaptive Walks on Rugged Landscapes. Journal of Theoretical Biology 128, 11–45 (1987)
Kauffman, S.: The Origins of Order. Oxford University Press, Oxford (1993)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, December 1995, pp.1942–1948 (1995)
Kennedy, J.: The particle swarm: Social adaptation of knowledge. In: Proceedings of the International Conference on Evolutionary Computation, pp. 303–308. IEEE Press, Los Alamitos (1997)
Kennedy, J.: Minds and Cultures: Particle Swam Implications for Beings in Sociocognitive Space. Adaptive Behavior 7(3/4), 269–288 (1999)
Kennedy, J., Eberhart, R., Shi, Y.: Swarm Intelligence. Morgan Kauffman, San Mateo (2001)
Kitts, B., Edvinsson, L., Beding, T.: Intellectual capital: from intangible assets to fitness landscapes. Expert Systems with Applications 20, 35–50 (2001)
Levinthal, D.: Adaptation on Rugged Landscapes. Management Science 43(7), 934–950 (1997)
Porter, M.: Competitive Advantage:Creating and Sustaining Superior Performance. The Free Press, New York (1985)
Porter, M.: What is Strategy? Harvard Business Review, pp. 61–78 (November-December 1996)
Rivkin, J.: Imitation of Complex Strategies. Management Science 46(6), 824–844 (2000)
Wright, S.: The roles of mutation, inbreeding, crossbreeding and selection in evolution. In: Proceedings of the Sixth International Congress on Genetics, vol. 1, pp. 356–366 (1932)
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Brabazon, A., Silva, A., de Sousa, T.F., O’Neill, M., Matthews, R., Costa, E. (2004). A Particle Swarm Model of Organizational Adaptation. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24854-5_2
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DOI: https://doi.org/10.1007/978-3-540-24854-5_2
Publisher Name: Springer, Berlin, Heidelberg
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