Abstract

The development of a community of practice may play an important role in promoting knowledge creation and knowledge sharing economics. However, due to the nature of humanity, community members must cope with collaboration and conflicts in order to achieve knowledge creation in the community of practice. Based on the evolutionary game theory, this article analyzes and simulates the behavioral selection of community members in the knowledge creation process, in order to clarify how the selection strategies of community members evolves with time and related parameters, and to help us to further understand the game process and influencing factors. The results show that the consequences of a comprehensive game of community members are determined by the location of the saddle point, which will evolve to the evolutionary stable strategy. The closer the position of the saddle point is to the origin, the greater the probability that the community members will select the collaboration strategy. The probability of one member selecting a collaboration strategy will have an impact on the probability of another member selecting a collaboration strategy. Factors such as the coefficient of benefit distribution (α), the cost of knowledge creation (S), and the additional benefit obtained by the conflicting member (G) have an impact on the evolution of the selection strategy of community members in the knowledge creation process.

Highlights

  • With the development of knowledge sharing economics, scholars have begun paying more attention to smart cities and communities of practice [1], [2]

  • Any member of an enterprise community of practice may be confronted with the behavioral selection strategies of collaboration and conflict in the knowledge creation process

  • The probability of one member selecting the collaboration strategy will have an impact on the probability of the other member selecting the collaboration strategy, which proves the essence of the strategy selection of the game subject in the evolutionary game process [21], [25], [28]

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Summary

Introduction

With the development of knowledge sharing economics, scholars have begun paying more attention to smart cities and communities of practice [1], [2]. Members to share knowledge, exchange ideas and present controversial issues [6], and their interactions can help to cultivate new knowledge, promote knowledge creation, and improve the level of innovation further [7]. With the development of the community of practice, there are more and more activities of knowledge creation that need to be completed by the community members. The community of practice provides members with a platform for collaborative innovation, members decide whether to collaborate by considering knowledge cost and benefit distribution [8]. It is inevitable that there will be disputes and conflicts in the process of knowledge creation, which generates competition and makes it difficult

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