IDEAS home Printed from https://ideas.repec.org/a/igg/jdst00/v13y2022i4p1-13.html
   My bibliography  Save this article

Evolutionary Game of Knowledge Sharing in the Advanced Manufacturing Industry

Author

Listed:
  • Depeng Li

    (Wuhan University of Technology, China)

  • Renyong Hou

    (Wuhan University of Technology, China)

  • Qing Yan

    (Hubei University of Technology, China)

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.

Suggested Citation

  • Depeng Li & Renyong Hou & Qing Yan, 2022. "Evolutionary Game of Knowledge Sharing in the Advanced Manufacturing Industry," International Journal of Distributed Systems and Technologies (IJDST), IGI Global, vol. 13(4), pages 1-13, October.
    • Handle: RePEc:igg:jdst00:v:13:y:2022:i:4:p:1-13
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDST.307947
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jdst00:v:13:y:2022:i:4:p:1-13. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.