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Evolutionary Game and Simulation Research on Competitive Intelligence Sharing Strategy among Small and Medium-Sized Enterprises |
Zhi Fengwen1,2, Peng Zhaoqi1, Zhao Mengfan3, Zheng Yanning2 |
1.School of Management, Hebei University, Baoding 071002 2.Institute of Scientific and Technical Information of China, Beijing 100038 3.School of Information Resource Management, Renmin University of China, Beijing 100872 |
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Abstract As the relationship among small and medium-sized enterprises (SMEs) shifts from competition to coopetition, the sharing of competitive intelligence among SMEs has become possible. This study aims to explore the evolutionary game process and influencing factors of competitive intelligence sharing strategies among SMEs. It is expected to provide a basis for the selection of SMEs’ sharing strategies and provide new ideas and references for subsequent theoretical research and practical exploration. Based on evolutionary game theory, this study deduces the evolutionary game process of competitive intelligence sharing between both sides, analyzes the gains and losses of benefits, the evolutionary stability strategy of the game system, and the degree of influence of different parameters, and verifies the results through numerical simulation. The results indicate that collaborative benefits and penalty costs have a significant positive impact on competitive intelligence sharing strategies among SMEs, while leakage risks and sharing costs have a significant negative impact on them. When all other parameters are determined, the quality of shared competitive intelligence and the absorption capabilities of competitive intelligence have a significant negative impact in a certain interval, and the smaller the gap among SMEs, the more likely they are to ultimately stabilize in the sharing strategy. Finally, targeted suggestions are proposed to promote competitive intelligence sharing among SMEs.
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Received: 24 October 2023
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