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Evolutionary Game Analysis on Enterprise’s Knowledge-Sharing in the Cooperative Networks

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Foundations and Applications of Intelligent Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 213))

Abstract

Knowledge resource is an important strategic resource of the enterprise, and the advantage of knowledge resources determines the enterprise’s competitiveness. Based on evolutionary game theory, the paper studies the evolutionary direction of enterprise’s knowledge-sharing in the cooperative networks and analyzes the influencing factors. Our analysis shows that the evolutionary direction of the system has a connection with the bilateral game payoff matrix and that the system’s original state also affects the result under non-contract condition. The probability of knowledge-sharing of both sides has a positive correlation with excess result and a negative correction with cost of knowledge-sharing and betrayal income, and allocation factor of excess result is the key influence factor. In the case of an alliance contract, the evolutionary direction of the system is knowledge-sharing of both sides because of the existence of punishment mechanism.

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Acknowledgments

This work is supported by the Fundamental Research Funds for the Central Universities (Project NO. 11LZUJBWZY098).

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Correspondence to Shengliang Zong .

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© 2014 Springer-Verlag Berlin Heidelberg

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Zong, S., Cai, Z., Qi, M. (2014). Evolutionary Game Analysis on Enterprise’s Knowledge-Sharing in the Cooperative Networks. In: Sun, F., Li, T., Li, H. (eds) Foundations and Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37829-4_30

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  • DOI: https://doi.org/10.1007/978-3-642-37829-4_30

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37828-7

  • Online ISBN: 978-3-642-37829-4

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