IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-77363-1_37.html
   My bibliography  Save this book chapter

Potential of Blockchain in Supply Chain Transformation: A Critical Analysis

Author

Listed:
  • Atour Taghipour

    (Normandy University)

  • Mohamed Amine Ghassoub

    (Normandy University)

  • XiaoWen Lu

    (Normandy University)

Abstract

The combination of blockchain and artificial intelligence (AI) has attracted considerable attention recently for its ability to enhance security, efficiency, and productivity in business environments characterized by volatility and complexity. The integration has notably benefited supply chain management, leading to significant improvements in information reliability, process resilience, faster and cost-effective product delivery, and enhanced product traceability. This research offers an extensive review of the current landscape where blockchain and AI intersect in supply chain operations. It focuses on two main questions: Q1: What research studies currently investigate the merging of blockchain and AI in supply chain contexts? Q2: What future research directions exist for combining blockchain and AI? This analysis explores relevant research that has substantially contributed to advancing knowledge in supply chain management by integrating blockchain and AI technologies, both theoretically and empirically.

Suggested Citation

  • Atour Taghipour & Mohamed Amine Ghassoub & XiaoWen Lu, 2025. "Potential of Blockchain in Supply Chain Transformation: A Critical Analysis," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-77363-1_37
    DOI: 10.1007/978-3-031-77363-1_37
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-031-77363-1_37. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.