Evolutionary Game of Knowledge Sharing in the Advanced Manufacturing Industry

Depeng Li, Renyong Hou and Qing Yan
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Depeng Li: Wuhan University of Technology, China
Renyong Hou: Wuhan University of Technology, China
Qing Yan: Hubei University of Technology, China

International Journal of Distributed Systems and Technologies (IJDST), 2022, vol. 13, issue 4, 1-13

Abstract: With the advent of the era of knowledge economy, knowledge resources have gradually become the core resources for industrial development. For advanced manufacturing, strengthening the knowledge sharing between enterprises has become a key factor of the industry to maintain their core competitiveness. Based on the perspective of knowledge sharing, this study constructs an evolutionary game model among advanced manufacturing enterprises and analyzes the dynamic evolution process of enterprises. The result shows that knowledge spillover effects, excess return distribution, knowledge costs, hidden income, and punishment mechanisms are the main factors influencing the choice of evolutionary strategies for knowledge sharing among enterprises. Based on the analysis results, the study gives some suggestions to encourage advanced manufacturing companies to choose knowledge sharing strategies, to promote the rapid development of advanced manufacturing.

Date: 2022
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