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Knowledge Sharing in R&D Teams: An Evolutionary Game Model

Author

Listed:
  • Jiuling Xiao

    (School of Business, Nanjing Audit University, Nanjing 211815, China)

  • Yuting Bao

    (School of Business, Nanjing Audit University, Nanjing 211815, China)

  • Jiankang Wang

    (School of Public Administration, Nanjing Audit University, Nanjing 211815, China)

  • Haiyun Yu

    (School of Business, Jiangnan University, Wuxi 214122, China)

  • Zhenzhong Ma

    (School of Business, Nanjing Audit University, Nanjing 211815, China
    Odette School of Business, University of Windsor, Windsor, ON N9B 3P4, Canada)

  • Lei Jing

    (School of Marxism Studies, Faculty of Social Sciences, Jilin University, Changchun 130012, China)

Abstract

Knowledge sharing plays an important role in promoting innovation and helping improve R&D team performance in the digital age. Based on the evolutionary game theory, this study develops an evolutionary game model of knowledge sharing in R&D teams in order to explore its system evolution path, the evolutionary stability strategy, and the influencing mechanism in knowledge sharing. Then using a simulation model, this study examines the dynamic evolution process of knowledge sharing within R&D teams. The results show that the effectiveness of knowledge sharing in the R&D teams can be promoted by R&D team members’ cognitive ability, knowledge absorption ability, knowledge transformation ability, knowledge innovation ability, and the degree of knowledge complementarity within teams. The simulation results further show that reducing the environmental risk can also effectively improve R&D teams’ innovation performance. The findings of this study thus provide evidence for knowledge sharing as an important route to sustainable development.

Suggested Citation

  • Jiuling Xiao & Yuting Bao & Jiankang Wang & Haiyun Yu & Zhenzhong Ma & Lei Jing, 2021. "Knowledge Sharing in R&D Teams: An Evolutionary Game Model," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6664-:d:573385
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    References listed on IDEAS

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    2. Wang, Nan & Wang, Liya & Ma, Zhenzhong & Wang, Shouyang, 2022. "From knowledge seeking to knowledge contribution: A social capital perspective on knowledge sharing behaviors in online Q&A communities," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    3. Yasar, Alperen, 2023. "Power struggles and gender discrimination in the workplace," SocArXiv t4g83, Center for Open Science.
    4. Xiaoxing Zhang & Changyuan Gao & Shuchen Zhang, 2021. "Research on the Knowledge-Sharing Incentive of the Cross-Boundary Alliance Symbiotic System," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    5. 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.

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