IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v134y2025ics0305048325000118.html
   My bibliography  Save this article

When learning from limited experience takes off: Linear/curvilinear relationships between decision-making comprehensiveness and sustainable supply chain performance under contingent conditions

Author

Listed:
  • Nguyen, Tessa Tien
  • Le, Angelina Nhat Hanh
  • Johnston, Wesley J.
  • Cheng, Julian Ming Sung

Abstract

Studies examining the effect of sustainability decision-making comprehensiveness among supply chain alliances on sustainable supply chain management (SSCM) performance have been underrepresented in the current literature. This linking relationship is investigated herein through the theoretical lens of the Organizational Learning Curve (OLC) and Learning from Limited Experience (LLE), and detailed insights under contingent conditions are also provided. The field research is based on a mixed-method approach, including two sequential studies—a quantitative survey followed by a qualitative study in Vietnam. Their results confirm and validate the proposed J-shaped, curvilinear effects of sustainability decision-making comprehensiveness on economic and social sustainability performances and a linear effect on environmental sustainability performance. Moreover, competitive intensity and opportunism moderate these direct effect relationships. We contribute to a crucial gap within the SSCM literature and expand the applications of both OLC and LLE while drawing up a set of practical guidelines in the studied subject matter.

Suggested Citation

  • Nguyen, Tessa Tien & Le, Angelina Nhat Hanh & Johnston, Wesley J. & Cheng, Julian Ming Sung, 2025. "When learning from limited experience takes off: Linear/curvilinear relationships between decision-making comprehensiveness and sustainable supply chain performance under contingent conditions," Omega, Elsevier, vol. 134(C).
    • Handle: RePEc:eee:jomega:v:134:y:2025:i:c:s0305048325000118
    DOI: 10.1016/j.omega.2025.103285
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0305048325000118
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.omega.2025.103285?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.

    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:eee:jomega:v:134:y:2025:i:c:s0305048325000118. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    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.