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. © 2013 Springer-Verlag Berlin Heidelberg.
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Gao, D., Deng, X., & Bai, B. (2013). An evolutionary game model of organizational routines on complex networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7928 LNCS, pp. 548–555). https://doi.org/10.1007/978-3-642-38703-6_64
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