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Decisions of knowledge transfer in technology innovation alliance: a stackelberg leader-followers model

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Abstract

The decision-making processes of knowledge transfer are regarded as the Stackelberg leader-followers games between the core firm and partners in the technology innovation alliance. Basically, a decision-making model of knowledge transfer is established to analyze the influences of knowledge transfer decisions of the core and partners. The analysis results point out that the precondition of the existence and development of alliances is that the core firm’s knowledge marginal revenues are large enough. Partners transfer their knowledge capital according to the proportion structure of their own marginal revenues. There is a positive correlation between the knowledge transfer decisions of core firm and its own marginal revenues, and a negative correlation between the knowledge transfer decisions of core firm and the sum of partners’ marginal revenues.

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Acknowledgments

The authors thank the editor, and two anonymous reviewers for their comments and constructive suggestions. We are grateful to the National Science Foundation Committee of P.R. China for financial support (70872025).

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Correspondence to Zhang-sheng Jiang.

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Jiang, Zs., Hu, Ly. & Chen, Kk. Decisions of knowledge transfer in technology innovation alliance: a stackelberg leader-followers model. Oper Res Int J 10, 231–242 (2010). https://doi.org/10.1007/s12351-009-0070-6

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  • DOI: https://doi.org/10.1007/s12351-009-0070-6

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