The knowledge transfer decisions in a technology innovationalliance based on leader-followers game

Jiang Zhangsheng, Hu Longying

Science Research Management ›› 2012 ›› Issue (4) : 41-47,61.

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PDF(1832 KB)
Science Research Management ›› 2012 ›› Issue (4) : 41-47,61.

The knowledge transfer decisions in a technology innovationalliance based on leader-followers game

  • Jiang Zhangsheng, Hu Longying
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Abstract

The leader-followers game model of knowledge transfer decisions in the technology innovation alliance is established to analyze the influences of knowledge transfer decisions of the core firms and partner enterprises on the alliance cooperation innovation. The results are as follows: The preconditions for the existence and development of the alliance are that the knowledge marginal revenues of the core firms are large enough. Partner enterprises transfer their knowledge capital according to the proportion structure of their own marginal revenues. There is a positive correlation between the knowledge transfer decision of the core firm and its own marginal revenue, and a negative correlation between the knowledge transfer decision of the core firm and the sum of partners enterprises marginal revenues, which might provide some theoretical supports for the selections of optimal dynamic competitive and cooperative relationship and managerial flexibility among member enterprises.

Key words

innovation alliance / knowledge transfer / knowledge output / leader-followers game

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Jiang Zhangsheng, Hu Longying. The knowledge transfer decisions in a technology innovationalliance based on leader-followers game[J]. Science Research Management. 2012(4): 41-47,61

References

[1] Khamseh H M, Jolly D R. Knowledge transfer in alliances: determinant factors [J]. Journal of Knowledge Management, 2008, 12(1):37-50.
[2] Gil A E, Passino M K. Stability analysis of network-based cooperative resource allocation strategies [J]. Automatica, 2006, 42(2):245-250.
[3] Narteh B. Knowledge transfer in developed-developing country inter-firm collaborations: a conceptual framework [J]. Journal of Knowledge Management, 2008, 12(1):78-91.
[4] Chen C J. The effects of knowledge attribute, alliance characteristics, and absorptive capacity on knowledge transfer performance [J]. R&D Management, 2008, 34(3):311-321.
[5] 陈菲琼. 我国企业与跨国公司知识联盟的知识转移层次研究[J]. 科研管理, 2001, 22(2):66-73.
[6] 庄亚明, 李金生. 高技术企业知识联盟中的知识转移研究[J]. 科研管理, 2004, 25(6):50-55.
[7] Morasch K. Strategic Alliances as Stackelberg Cartels - Concept and Equilibrium Alliance Structure [J]. International Journal of Industrial Organization, 2000, 18(2): 257-282.
[8] Lin M H. Strategic Airline Alliances and Endogenous Stackelberg Equilibria [J]. Transportation Research Part E: Logistics and Transportation Review, 2004, 40(5): 357-384.
[9] Guiomar M H, Pierre C, Estelle M. Deforestation and Foreign Transfers: a Stackelberg Differential Game Approach [J]. Computers & Operations Research, 2006, 33(2): 386-400.
[10] Samaddar S, Kadiyala SS. An analysis of interorganizational resource sharing decisions in collaborative knowledge creation [J]. European Journal of Operational Research, 2006, 170(1): 192-210.
[11] Ding X H, Huang R H. Effects of knowledge spillover on inter-organizational resource sharing decision in collaborative knowledge creation [J]. European Journal of Operational Research, 2009, 35(4):1-27.
[12] Samaddar S, Kadiyala S S. An analysis of inter-organizational resource sharing decisions in collaborative knowledge creation [J]. European Journal of Operational Research, 2006, 170(1):192-210.
[13] Griliches, Zvi. Issues in Assessing the Contribution of R&D to Productivity Growth [J]. Bell Journal of Economics, 1979, 10: 92-116.
[14] Jaffe, A B. Real effects of Academic Research [J], American Economic Review, 1989, 79 (5): 957-970.
[15] Ronde P, Hussler C. Innovation in regions: What does really matter? [J]. Research Policy, 2005, 34(8):1150-1172.
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