Evolutionary Game of User Knowledge Sharing Behaviors in Enterprise Brand Virtual Community: Influence of Multiple Level Factors

Cheng Le, Pei-Chi Li, Ya Zeng
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引用次数: 1

Abstract

The exchange and sharing of user knowledge in the brand virtual community is an important way for enterprise product innovation. Therefore, how to encourage users to share their knowledge continuously in the brand virtual community is a key issue. Based on evolutionary game theory, this paper analyzes the influence of various factors on user’s knowledge sharing behavior from the aspects of individual factors, mutual factors and community factors. Through simulation, it is found that there exist two evolutionary stability strategies, that is, (knowledge sharing, knowledge sharing) and (no knowledge sharing, no knowledge sharing). And which direction this system evolves depends on the initial probability and critical points of knowledge sharing. Results show that user’s knowledge level in individual level, the ability to transform and absorb knowledge, the degree of knowledge sharing, the innovation degree of knowledge sharing and the incentive coefficient in community level have a positive impact on the user’s knowledge sharing behavior. Meanwhile, the cost of knowledge sharing between individuals, the homogeneity of knowledge and the spillover effect in mutual level have a negative impact on the behavior of user knowledge sharing. What’s more, there is an optimal coefficient of collaborative profit distribution, which makes the system most likely to evolve in the direction of (knowledge sharing, knowledge sharing).
企业品牌虚拟社区用户知识共享行为的演化博弈:多层次因素的影响
品牌虚拟社区中用户知识的交流与共享是企业产品创新的重要途径。因此,如何鼓励用户在品牌虚拟社区中持续分享自己的知识是一个关键问题。基于进化博弈论,从个体因素、相互因素和社区因素三个方面分析了各种因素对用户知识共享行为的影响。通过仿真,发现存在两种进化稳定策略,即(知识共享,知识共享)和(不知识共享,不知识共享)。系统的发展方向取决于初始概率和知识共享的临界点。结果表明,用户个人层面的知识水平、知识转化和吸收能力、知识共享程度、知识共享创新程度和社区层面的激励系数对用户的知识共享行为有正向影响。同时,个体间知识共享的成本、知识的同质性和相互层面的溢出效应对用户的知识共享行为产生负向影响。并且,存在一个最优的协同利润分配系数,使得系统最有可能向(知识共享,知识共享)的方向演进。
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