IDEAS home Printed from https://ideas.repec.org/a/spr/rvmgts/v19y2025i8d10.1007_s11846-024-00825-2.html
   My bibliography  Save this article

Foundations and areas of COVID-19 pandemic logistics and supply chain management research: the early and mid-pandemic view

Author

Listed:
  • Herbert Kotzab

    (University of North Florida)

  • Işık Özge Yumurtacı Hüseyinoğlu

    (Izmir University of Economics)

  • Julia Fischer

    (Brandenburg University of Technology)

Abstract

This paper provides a first comprehensive overview of the intellectual foundation of COVID-19-related supply chain management research during the early and mid-pandemic phases. It highlights how supply chain research responded to the initial outbreak and the subsequent efforts to manage the impact of COVID-19. The study integrates bibliometric and text data mining methods to identify key research clusters and themes, including optimized logistics model design, flexible operations, and risk and crisis management. Our findings strongly focus on supply chain resilience, with research addressing industries such as agriculture or healthcare.

Suggested Citation

  • Herbert Kotzab & Işık Özge Yumurtacı Hüseyinoğlu & Julia Fischer, 2025. "Foundations and areas of COVID-19 pandemic logistics and supply chain management research: the early and mid-pandemic view," Review of Managerial Science, Springer, vol. 19(8), pages 2609-2631, August.
    • Handle: RePEc:spr:rvmgts:v:19:y:2025:i:8:d:10.1007_s11846-024-00825-2
    DOI: 10.1007/s11846-024-00825-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11846-024-00825-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11846-024-00825-2?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.

    More about this item

    Keywords

    COVID-19 pandemic; Logistics; Supply chain management; Bibliometrix; Citation analysis; Co-citation analysis; K.H. coder; Text mining;
    All these keywords.

    JEL classification:

    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

    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:spr:rvmgts:v:19:y:2025:i:8:d:10.1007_s11846-024-00825-2. 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.