IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v208y2024ics0040162524005158.html
   My bibliography  Save this article

Key capabilities for closed-loop supply chain: Empirical evidence from manufacturing firms

Author

Listed:
  • Bhatia, Manjot Singh
  • Kumar, Saurabh
  • Gangwani, Kishore Kumar
  • Kaur, Bhavneet

Abstract

The objective of this paper is to explore the capabilities to implement closed-loop supply chain (CLSC). In this regard, a theoretical model grounded in natural resource-based view is proposed, which depicts inter-relationships among the capabilities and CLSC. The model is tested using survey data from Indian manufacturing firms by partial least squares (PLS) approach. The findings show information technology and organizational learning as important lower-order capabilities, and internal integration, demand management and product design as significant higher-order capabilities for CLSC implementation. To the best of authors' knowledge, this is the first study to examine key capabilities for CLSC. The study contributes to CLSC literature by providing an integrative framework, classifying capabilities into lower-order capabilities and higher-order capabilities, and empirically examining the key capabilities for CLSC. The findings provide managers with insights about the hierarchical levels of capabilities for CLSC, which will help them to accordingly deploy the appropriate resources to build capabilities for CLSC.

Suggested Citation

  • Bhatia, Manjot Singh & Kumar, Saurabh & Gangwani, Kishore Kumar & Kaur, Bhavneet, 2024. "Key capabilities for closed-loop supply chain: Empirical evidence from manufacturing firms," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    • Handle: RePEc:eee:tefoso:v:208:y:2024:i:c:s0040162524005158
    DOI: 10.1016/j.techfore.2024.123717
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162524005158
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2024.123717?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:tefoso:v:208:y:2024:i:c:s0040162524005158. 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.sciencedirect.com/science/journal/00401625 .

    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.