2010Unpublished venueRequires access

Knowledge transfer and innovation alliance stability

Zhangsheng 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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What this paper is about

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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Available 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.

Key concepts: Alliance, Knowledge transfer, Knowledge management, Stability (learning theory), Computer science, Microeconomics, Business, Economics

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