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Game analysis of technology innovation alliance stability based on knowledge transfer

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  • Zhang-sheng Jiang

    (Zhejiang Gongshang University
    Contemporary Business and Trade Research Center of Zhejiang Gongshang University)

  • Yun-hong Hao

    (Contemporary Business and Trade Research Center of Zhejiang Gongshang University)

Abstract

Under incomplete information, a game model is used to investigate the influence of ownership level and learning ability on the stability of technology innovation alliance from the perspective of knowledge transfer. The decision-making processes of involved parties are divided into two stages in the model. In the first stage, the firm possessing advanced technology decides on the level of knowledge it transfers to its alliance partner. In the second stage, the decision of the parties on whether to maintain or terminate the alliance is based on two factors: the level of knowledge learned and profits gained. The outcomes of the Cournot–Nash equilibrium in the model can reveal when the parties decide to maintain or terminate the alliance. The model explores the status of alliance stability under different ownership levels and learning abilities to provide theoretical support for the selection of optimal dynamic competitive-cooperative relationship and managerial flexibility.

Suggested Citation

  • Zhang-sheng Jiang & Yun-hong Hao, 2013. "Game analysis of technology innovation alliance stability based on knowledge transfer," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 403-421, December.
  • Handle: RePEc:spr:comaot:v:19:y:2013:i:4:d:10.1007_s10588-011-9096-4
    DOI: 10.1007/s10588-011-9096-4
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    References listed on IDEAS

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    Cited by:

    1. Xiaodan Kong & Qi Xu & Tao Zhu, 2019. "Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 12(1), pages 1-23, December.

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