IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v61y2023i13p4279-4301.html
   My bibliography  Save this article

How do manufacturing companies and service providers share knowledge in the context of servitization? An evolutionary-game model of complex networks

Author

Listed:
  • Ruize Ma
  • Lin Jiang
  • Tianyue Wang
  • Xuping Wang
  • Junhu Ruan

Abstract

The digital capabilities driven by Internet of Things and affiliated techniques have enabled the prevailing service-oriented business models, among which servitization has been well recognised as one of the most competitive strategies for manufacturing companies. However, manufacturing companies usually show a lack of knowledge regarding the service offering associated to their manufactured products. Acquiring external knowledge from service providers is one effective way to tackle this problem, but due to the information asymmetry, the process of knowledge sharing between the two is often faced with a prisoner’s dilemma game. Meanwhile, the company’s game strategy will change with the evolution of the knowledge sharing network structure. We therefore consider the influence of group spatial structure on individual game strategy, marry a canonical evolutionary game model on the decision-making mechanism of individuals to the complex network theory on the interaction behaviour among individuals in the groups. By analysing the model, we reveal the influence of various factors under the dimensions of ability and benefit on the willingness of companies to share knowledge. We also demonstrate the divergence in the influence of various factors on different types of companies.

Suggested Citation

  • Ruize Ma & Lin Jiang & Tianyue Wang & Xuping Wang & Junhu Ruan, 2023. "How do manufacturing companies and service providers share knowledge in the context of servitization? An evolutionary-game model of complex networks," International Journal of Production Research, Taylor & Francis Journals, vol. 61(13), pages 4279-4301, July.
  • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:13:p:4279-4301
    DOI: 10.1080/00207543.2022.2079013
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2022.2079013
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2022.2079013?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tprsxx:v:61:y:2023:i:13:p:4279-4301. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.