Abstract
Organizational routines are collective phenomena with multiple actors involved in. In this paper, we introduce the evolutionary game theory into the study of organizational routines, and build up an evolutionary game model of organizational routines on complex networks. On the bases of this model, we provide a multi-agent based simulation via Swarm package. The results of our research show that: the evolutionary game theory – with the aid of multi-agent simulation as well – can afford us a general framework for formalized quantitative analysis, and provide an absolutely novelty directions for the researches of organizational routines based on mathematical methods.
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References
Feldman, M.S., Pentland, B.T.: Reconceptualizing Organizational Routines as a Source of Flexibility and Change. Admin. Sci. Quart. 48, 94–118 (2003)
Pentland, B.T., Feldman, M.S.: Organizational Routines as a Unit of Analysis. Ind. Corp. Change 14, 793–815 (2005)
Pentland, B.T., Feldman, M.S.: Designing Routines: on the Folly of Designing Artifacts, While Hoping for Patterns of Action. Inf. Organ 18, 235–250 (2008)
Abell, P., Felin, T., Foss, N.J.: Building Micro-Foundations for the Routines, Capabilities, and Performance Links. Manag. Decis. Econ. 29, 489–502 (2008)
Knudsen, T.: Organizational Routines in Evolutionary Theory. In: Becker, M.C. (ed.) Handbook of Organizational Routines, pp. 125–151. Edward Elgar, Cheltenham (2008)
Hodgson, G.M.: The Concept of a Routine. In: Becker, M.C. (ed.) Handbook of Organizational Routines, pp. 15–30. Edward Elgar, Cheltenham (2008)
Gao, C., Chen, Y.: Research on the Evolution of Enterprise Routines: Motives, Paths and Model Construction. J. Bus. Econ. 3, 19–26 (2012) (in Chinese)
Watts, D.J.: Small Worlds: The Dynamics of Networks between Order and Randomness. Princeton University Press, Princeton (1999)
Barabâsi, A.L., Albert, R., Jeong, H.: Mean-Field Theory for Scale Free Random Networks. Phys. A. 272, 173–187 (1999)
Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of Networks: From Biological Nets to the Internet and WWW. Oxford University Press, Oxford (2003)
Cybert, R.M., March, J.G.: A Behavioral Theory of the Firm. Prentice-Hall, New York (1963)
Hauert, C., Szabo, G.: Game Theory and Physics[J]. Amer. J. Phys. 73, 405–414 (2005)
Feldman, M.S.: Organizational Routines as a Source of Continuous Change. Organ. Sci. 11, 611–629 (2000)
Becker, M.C.: Organizational Routines: A Review of the Literature. Ind. Corp. Change 13, 643–677 (2004)
Becker, M.C.: The Concept of Routines: Some Clarifications. Camb. J. Econ. 29, 249–262 (2005)
Axelrod, R.: The Complexity of Cooperation: Agent-based Models of Competition and Collaboration. Princeton University Press, New Jersey (1997)
Gilbert, N.: Agent-based Social Simulation: Dealing with Complexity (2004), http://cress.soc.surrey.ac.uk/.../ABSS%20%20dealing%20with%20complexity-1-1.pdf
Gilbert, N., Terna, P.: How to Build and Use Agent-Based Models in Social Science. Mind Soc.: Cognitive Stud. Econ. Soc. Sci. 1, 57–72 (2000)
Swarm Development Group (SDG), http://www.swarm.org
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Gao, D., Deng, X., Bai, B. (2013). An Evolutionary Game Model of Organizational Routines on Complex Networks. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38703-6_64
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DOI: https://doi.org/10.1007/978-3-642-38703-6_64
Publisher Name: Springer, Berlin, Heidelberg
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