Type and evolutionarygame model of knowledge sharing within organizations

Abstract

Abstract: For the dynamicsof knowledge sharingandvariety of knowledge structure within organizations, in this paper, knowledge-sharing games are divided into four kinds according to knowledge diversityand knowledge structure. Based on this, a single-group and a multi-group dynamicgame model are built to analyze the Evolutionary Stable Strategies (ESSs) and their stability domain of these models, and results show that the completion of knowledge sharing of an organization depends on incentive policy, knowledge structure and initial state of knowledge sharing, and sharing knowledge while meeting the binding of stability domain may be the ESS. These results can provide theoretical guide and decision support for an organization to realize high level knowledge sharing.

Key words: knowledge management, knowledgesharing, evolutionary game, evolutionary stable strategy

CLC Number:

F204

Liu Chen, Shan Wei, Yu Jing. Type and evolutionarygame model of knowledge sharing within organizations[J]. Science Research Management, 2014, 35(2): 145-153.

References

[1] 和金生, 熊德勇.知识管理应当研究什么[J].科学学研究, 2004, 22(2): 70-75. [2] Fey C.F., Furu P. Top management incentive compensation and knowledge sharing in multinational corporations[J]. Strategic Management Journal, 2008, 29(12): 1301-1323. [3] Cabrera A., Cabrera E.F. Knowledge-sharing dilemmas[J]. Organization Studies, 2002, 23(5): 687-710. [4] Shih M.H., Tsai H.T., Wu C.C., et al. A holistic knowledge sharing framework in high-tech firms: game and co-opetition perspectives[J].International Journal of Technology Management, 2006, 36(4): 354-367. [5] Bandyopadhyay S., Pathak P. Knowledge sharing and cooperation in outsourcing projects——A game theoretic analysis[J]. Decision Support Systems, 2007, 43: 349-358. [6] 吴丙山, 赵骅, 罗军. 高新技术企业中知识分享微观机制研究[J]. 科研管理, 2012, 33(3): 65-71. [7] Barthelme F., Ermine J.L., Rosenthal-Sabroux C. An architecture for knowledge evolution in organisations[J]. European Journal of Operational Research, 1998, 109: 414-427. [8] Loasby B.J. The evolution of knowledge: beyond the biological model[J]. Research Policy, 2002, 31:1227-1239. [9] 邓玉林, 王文平, 达庆利.企业知识共享的有序结构及激励策略[J].系统管理学报, 2008, 17(4): 390-394. [10] 席运江, 党延忠.基于加权知识网络的个人及群体知识结构分析方法[J].管理工程学报, 2008, 22(3): 1-4. [11] 蔡珍红. 知识位势、隐性知识分享与科研团队激励[J]. 科研管理, 2012, 33(4): 108-115. [12] 陈飞翔, 张黎, 胡靖.知识扩散场的建立与实证分析[J].科学学研究, 2005, 23(2): 253-257. [13] Weibull, J. Evolutionary game theory[M]. Cambridge:MIT Press, 1995. [14] Anand V., Clark M.A., Zellmer-Bruhn M. Team knowledge structure: matching task to information environment[J]. Journal of Managerial Issues, 2003, 15(1): 15-31. [15] 拉斯穆森.王晖等译.博弈与信息[M].北京:北京大学出版社, 2003. [16] 罗宾斯. 孙健敏等译.组织行为学[M]. 北京: 中国人民大学出版社, 1997. [17] 谢识予. 经济博弈论[M]. 上海:复旦大学出版社, 2002. [18] Taylor P.D., Jonker L.B.Evolutionarily stable strategy and game dynamics[J].Mathematical Biosciences, 1978, 40: 145-156. [19] Selten R.A Note on Evolutionarily Stable Stratifies in Asymmetric Animal Conflicts[J]. Journal of Theoretical Biology, 1980, 84: 93-101. [20] Cressman R. Strong stability and density dependent evolutionarily stable strategies[J]. Journal of Theoretical Biology, 1990, 145: 319-330. [21] Garay J., Varga Z. Strict ESS for n-species systems[J]. BioSystems, 2000, 56: 131-137.