IDEAS home Printed from https://ideas.repec.org/a/eee/transe/v176y2023ics1366554523001655.html

Circular supply chain management with blockchain technology: A dynamic capabilities view

Author

Listed:
  • Meier, Oliver
  • Gruchmann, Tim
  • Ivanov, Dmitry

Abstract

Achieving a circular economy (CE) is considered one of the most significant challenges of our time, as environmental challenges and social discrepancies keep increasing. While companies need to transform their supply chains towards sustainability and circularity, implementing CE concepts into practice is not straightforward and requires technical and non-technical capabilities, referring to dynamic capabilities. One of the most promising digital technologies for improving sustainability and circularity is blockchain. However, the literature on relationships between blockchain technology (BCT), sustainability, and the CE is still in its infancy. This study illustrates how BCT can help implement circular supply chain management (CSCM) from a dynamic capabilities perspective. A multiple case study approach examines how BCT’s potential impacts CSCM. Building on the case evidence, necessary dynamic capabilities are deduced for successful CE implementations with BCT. The analysis demonstrates that supply chain traceability and related sensing capabilities are major benefits of BCT-driven CSCM. Thus, we contribute to theory by examining which dynamic capabilities need to be developed when realizing CSCM through BCT. The results indicate that the BCT potentials depend on the business model pointing to certain contingencies.

Suggested Citation

  • Meier, Oliver & Gruchmann, Tim & Ivanov, Dmitry, 2023. "Circular supply chain management with blockchain technology: A dynamic capabilities view," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
  • Handle: RePEc:eee:transe:v:176:y:2023:i:c:s1366554523001655
    DOI: 10.1016/j.tre.2023.103177
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1366554523001655
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tre.2023.103177?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:transe:v:176:y:2023:i:c:s1366554523001655. 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/600244/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.