Knowledge transfer and innovation alliance stability

Zhang Jiang
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Abstract

A dynamic game model of two stages under incomplete information from the view of knowledge transfer is developed to research effects of ownership allocation and knowledge learning ability on the dynamic cooperative stability of the innovation alliance. The results show if one partner succeeds in learning knowledge while the other partner fails to do so, the former requires a higher ownership level to maintain the alliance, which may provide some theoretical supports for selections of the optimal dynamic competitive-cooperative relationship.
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知识转移与创新联盟稳定性
从知识转移视角出发,建立了不完全信息条件下的两阶段动态博弈模型,研究了所有权配置和知识学习能力对创新联盟动态合作稳定性的影响。结果表明,当一方成功学习知识而另一方学习失败时,前者需要更高的所有权水平来维持联盟,这可能为最优动态竞争合作关系的选择提供理论支持。
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