IDEAS home Printed from https://ideas.repec.org/a/taf/tkmrxx/v19y2021i3p370-386.html
   My bibliography  Save this article

Dynamic simulation research on the effect of resource heterogeneity on knowledge transfer in R&D alliances

Author

Listed:
  • Hui Zhang
  • Minfei Zhou
  • Huguang Rao
  • Dan Zhou

Abstract

This paper investigates the effect of resource heterogeneity on knowledge Transfer in R&D alliances based on system dynamics method. Based on literature review, we identify the factors that affect knowledge transfer in R&D alliances, and analyse the effect of the organisational and network resource heterogeneity on knowledge transfer in R&D alliances. On this basis, we use system dynamics method to analyse the causality of the effect of the organisational and network resource heterogeneities on knowledge transfer, establish the model of system flow chart, and use Vensim PLE software to perform simulation and sensitivity analyses of the model. The results show that there is an inverted U-shaped relationship between the organisational resource heterogeneity and knowledge transfer and that network resource heterogeneity has a positive effect on knowledge transfer in R&D alliances. Our research provides valuable insights into the exploitation of resource heterogeneity in R&D alliances to facilitate effective knowledge transfer.

Suggested Citation

  • Hui Zhang & Minfei Zhou & Huguang Rao & Dan Zhou, 2021. "Dynamic simulation research on the effect of resource heterogeneity on knowledge transfer in R&D alliances," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 19(3), pages 370-386, July.
    • Handle: RePEc:taf:tkmrxx:v:19:y:2021:i:3:p:370-386
    DOI: 10.1080/14778238.2020.1767521
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14778238.2020.1767521
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14778238.2020.1767521?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:tkmrxx:v:19:y:2021:i:3:p:370-386. 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/tkmr .

    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.