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Knowledge Sharing Willingness and Leakage Risk: An Evolutional Game Model

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  • Qian Li

    (School of Economics and Management, Chang’an University, Xi’an 710064, China)

  • Yuanfei Kang

    (Massey Business School, Massey University, Auckland 0745, New Zealand)

Abstract

Prior research of knowledge sharing between firms mainly focuses on enabling factors, such as benefits resulting from knowledge sharing, leading to an overlook at barriers. Guided by transaction cost economics and social exchange theory, our study constructed an evolutional game model to analyse the dynamic evolution process of the firm’s knowledge sharing behaviour in a setting of supply chain networks. Using a simulation in our game model, we firstly reveal how a long-term strategy for supply chain partners towards knowledge sharing is determined through reaching an equilibrium between enabling factors (revenue gained in various forms) and impeding factors (knowledge leakage) in a dynamic process. Secondly, our analysis demonstrates that the competition or rivalry side of the “co-opetition” relationship acts as the major barrier for knowledge sharing due to the sharer’s concern of knowledge leakage. Thirdly, our model has identified knowledge relevancy as the inherent property of knowledge and the firm’ ability of knowledge inference as two important factors influencing knowledge leakage.

Suggested Citation

  • Qian Li & Yuanfei Kang, 2019. "Knowledge Sharing Willingness and Leakage Risk: An Evolutional Game Model," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:596-:d:200220
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    References listed on IDEAS

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    Cited by:

    1. Yan Wang & Lifan Yang & Enzo Russo & Domenico Graziano, 2021. "The Incentive Mechanism of Knowledge Sharing in Cross-Border Business Models Based on Digital Technologies," Sustainability, MDPI, vol. 13(22), pages 1-33, November.
    2. Tuochen Li & Xinyu Zhou, 2022. "Research on the Mechanism of Government–Industry–University–Institute Collaborative Innovation in Green Technology Based on Game–Based Cellular Automata," IJERPH, MDPI, vol. 19(5), pages 1-25, March.
    3. Tomas Cherkos Kassaneh & Ettore Bolisani & Juan-Gabriel Cegarra-Navarro, 2021. "Knowledge Management Practices for Sustainable Supply Chain Management: A Challenge for Business Education," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    4. Jiang Xu & Huihui Wu & Jianhua Zhang, 2022. "Innovation Research on Symbiotic Relationship of Organization’s Tacit Knowledge Transfer Network," Sustainability, MDPI, vol. 14(5), pages 1-22, March.
    5. Xiaodan Kong & Qi Xu & Tao Zhu, 2019. "Dynamic Evolution of Knowledge Sharing Behavior among Enterprises in the Cluster Innovation Network Based on Evolutionary Game Theory," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    6. Manu Sharma & Deepak Kaushal & Sudhanshu Joshi, 2023. "Strategic measures for enhancing resiliency in knowledge base supply chains: an emerging economy perspective," Operations Management Research, Springer, vol. 16(3), pages 1185-1205, September.

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