IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v72y2021i11p2460-2471.html
   My bibliography  Save this article

Using combined network-based approaches to analyze risk interactions in R&D alliance

Author

Listed:
  • Hui Liu
  • Naiding Yang
  • Zhao Yang
  • Yanlu Zhang
  • Ruimeng Li

Abstract

Previous researches on risks in R&D alliance have treated risks independently. They mainly focus on risk identification and the impact of risk on the objectives of alliance. However, most risks are not isolated but interdependent in reality. To address this gap, a combined method that integrates fuzzy DEMATEL and social network analysis is presented to assess and analyze risk interactions in R&D alliance. A case study of a real R&D alliance is conducted to identify key risks and their interactions, together with the corresponding mitigation actions. By unveiling risks and their interactions, this method assists professionals to make better decisions regarding risk mitigation, and further helps them to achieve higher performances in R&D alliance risk management.

Suggested Citation

  • Hui Liu & Naiding Yang & Zhao Yang & Yanlu Zhang & Ruimeng Li, 2021. "Using combined network-based approaches to analyze risk interactions in R&D alliance," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(11), pages 2460-2471, November.
  • Handle: RePEc:taf:tjorxx:v:72:y:2021:i:11:p:2460-2471
    DOI: 10.1080/01605682.2020.1796535
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2020.1796535
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01605682.2020.1796535?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Hui & Su, Bingbing & Guo, Min & Wang, Jingbei, 2024. "Exploring R&D network resilience under risk propagation: An organizational learning perspective," International Journal of Production Economics, Elsevier, vol. 273(C).

    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:tjorxx:v:72:y:2021:i:11:p:2460-2471. 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/tjor .

    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.