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An evolutionary game theoretic perspective on e-collaboration: The collaboration effort and media relativeness

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  • Cai, Gangshu
  • Kock, Ned

Abstract

Studies of e-collaboration from a game-theoretical perspective are practically nonexistent. This article contributes to filling this gap by focusing on the strategic interaction between players as they decide whether and how much to collaborate with each other. We use evolutionary game theory to make predictions about a two-person e-collaboration game. More specifically, we extend the traditional Prisoners' Dilemma and Snowdrift game theory notions to discrete-strategy e-collaboration games, by explicitly including social punishments into the players' payoff functions. We also introduce continuous-strategy e-collaboration games with both complete and incomplete information. Finally, we provide two generic dynamic programming models for e-collaboration games with media selection.

Suggested Citation

  • Cai, Gangshu & Kock, Ned, 2009. "An evolutionary game theoretic perspective on e-collaboration: The collaboration effort and media relativeness," European Journal of Operational Research, Elsevier, vol. 194(3), pages 821-833, May.
  • Handle: RePEc:eee:ejores:v:194:y:2009:i:3:p:821-833
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    Cited by:

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    13. Eduardo Alarcon-Gerbier & Zarina Chokparova & Nassim Ghondaghsaz & Wanqi Zhao & Hani Shahmoradi-Moghadam & Uwe Aßmann & Orçun Oruç, 2022. "Software-Defined Mobile Supply Chains: Rebalancing Resilience and Efficiency in Production Systems," Sustainability, MDPI, vol. 14(5), pages 1-21, February.
    14. Liu, Dehai & Xiao, Xingzhi & Li, Hongyi & Wang, Weiguo, 2015. "Historical evolution and benefit–cost explanation of periodical fluctuation in coal mine safety supervision: An evolutionary game analysis framework," European Journal of Operational Research, Elsevier, vol. 243(3), pages 974-984.
    15. Xu, Yan & Hu, Bin & Wu, Jiang & Zhang, Jianhua, 2014. "Nonlinear analysis of the cooperation of strategic alliances through stochastic catastrophe theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 100-108.
    16. Yumei Luo & Yuke Zhang & Lei Yang, 2022. "How to Promote Logistics Enterprises to Participate in Reverse Emergency Logistics: A Tripartite Evolutionary Game Analysis," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    17. Aron HENRIKSSON & Andrei NECULAU, 2009. "Towards Enhanced E-Collaboration In Academia A Holistic Model For Development Of E-Collaboration Software," Journal of Information Systems & Operations Management, Romanian-American University, vol. 3(1), pages 63-79, July.
    18. Oliveira, Fernando S., 2010. "Limitations of learning in automata-based systems," European Journal of Operational Research, Elsevier, vol. 203(3), pages 684-691, June.
    19. Liu, Weihua & Long, Shangsong & Xie, Dong & Liang, Yanjie & Wang, Jinkun, 2021. "How to govern the big data discriminatory pricing behavior in the platform service supply chain?An examination with a three-party evolutionary game model," International Journal of Production Economics, Elsevier, vol. 231(C).

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