An evolutionary game model of organizational routines on complex networks

Dehua Gao; Xiuquan Deng; Bing Bai

doi:10.1007/978-3-642-38703-6_64

An evolutionary game model of organizational routines on complex networks

Dehua Gao
, Xiuquan Deng
, Bing Bai

School of Economics and Management

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings
Pages	548-555
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-38703-6_64
State	Published - 2013
Event	4th International Conference on Advances in Swarm Intelligence, ICSI 2013 - Harbin, China Duration: 12 Jun 2012 → 15 Jun 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	7928 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Advances in Swarm Intelligence, ICSI 2013
Country/Territory	China
City	Harbin
Period	12/06/12 → 15/06/12

Keywords

agent-based simulation
evolutionary game theory
individual habits
organizational routines
small-world network

Access to Document

10.1007/978-3-642-38703-6_64

Cite this

Gao, D., Deng, X., & Bai, B. (2013). An evolutionary game model of organizational routines on complex networks. In Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings (PART 1 ed., pp. 548-555). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7928 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-38703-6_64

Gao, Dehua ; Deng, Xiuquan ; Bai, Bing. / An evolutionary game model of organizational routines on complex networks. Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings. PART 1. ed. 2013. pp. 548-555 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "An evolutionary game model of organizational routines on complex networks",

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.",

keywords = "agent-based simulation, evolutionary game theory, individual habits, organizational routines, small-world network",

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Gao, D, Deng, X & Bai, B 2013, An evolutionary game model of organizational routines on complex networks. in Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 7928 LNCS, pp. 548-555, 4th International Conference on Advances in Swarm Intelligence, ICSI 2013, Harbin, China, 12/06/12. https://doi.org/10.1007/978-3-642-38703-6_64

An evolutionary game model of organizational routines on complex networks. / Gao, Dehua; Deng, Xiuquan; Bai, Bing.
Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings. PART 1. ed. 2013. p. 548-555 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7928 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Gao D, Deng X, Bai B. An evolutionary game model of organizational routines on complex networks. In Advances in Swarm Intelligence - 4th International Conference, ICSI 2013, Proceedings. PART 1 ed. 2013. p. 548-555. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-38703-6_64

An evolutionary game model of organizational routines on complex networks

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