实践社群知识流动的可持续性研究——基于进化博弈的视角

    Research on Sustainable Knowledge Flow in Communities of Practice—Based on Evolutionary Game Theory Perspective

    • 摘要: 以实践社群为对象, 利用进化博弈方法, 综合考虑实践社群知识流动过程中的知识重组、知识集聚、成本损失、组织制度、社群成员知识期望等, 构建社群成员知识转移的得益函数, 对社群成员的知识转移行为进行博弈分析, 探究实践社群知识流动的稳定性和可持续性。研究结果发现:社群成员的知识收发能力、社群成员知识转移的知识集聚效应、社群成员知识转移的激励奖惩机制、知识转移成本、社群成员知识的异质性、社群成员个人期望等是影响实践社群知识流动的因素, 可从这5个因素着手提高实践社群知识流动的稳定性和可持续性。

       

      Abstract: The paper studies communities of practice(CoPs)taking advantage of evolutionary game theory. It formulates knowledge transfer benefit function from knowledge reorganization, knowledge agglomeration, cost of knowledge transfer, organization system, knowledge expectation benefit and so on. Then the study analyzes members' knowledge transfer behavior with evolutionary game theory so as to explore steady and sustainable knowledge flow in CoPs. The results show that knowledge receiving and transmitting ability, knowledge agglomeration effect, incentive mechanism of rewards and punishment, cost of knowledge transfer, knowledge heterogeneity, members' knowledge expectation are the factors effecting knowledge flow. Cops can keep steady and sustainable knowledge flow from these five factors.

       

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