IDEAS home Printed from https://ideas.repec.org/a/spr/flsman/v37y2025i4d10.1007_s10696-024-09575-5.html
   My bibliography  Save this article

Exploring the adoption and long-term effects of ChatGPT in a sustainable supply chain

Author

Listed:
  • Pardis Roozkhosh

    (Ferdowsi University of Mashhad, Operations Research, Department of Management, Faculty of Administrative Sciences and Economics)

  • Alireza Pooya

    (Ferdowsi University of Mashhad, Operations Research, Department of Management, Faculty of Administrative Sciences and Economics)

  • Azam Modares

    (Ferdowsi University of Mashhad, Operations Research, Department of Management, Faculty of Administrative Sciences and Economics)

  • Vahideh Bafandegan Emroozi

    (Ferdowsi University of Mashhad, Operations Research, Department of Management, Faculty of Administrative Sciences and Economics)

Abstract

Considering the environmental changes and their effects, using up-to-date technologies such as Chat Generative Pre-trained Transformer (ChatGPT) seems necessary to control environmental problems. The study aims to predict the behavior of the adoption rate of ChatGPT in a sustainable supply chain over time, focusing on Iran's pharmaceutical supply chain from 2018 to 2039. In this study, the performance of ChatGPT on a sustainable supply chain is investigated using System Dynamics (SD) simulation and introduce a new model, Dynamic Sustainable Pharmaceutical Supply Chain Simulation (DSPSCSim). SD allows for handling non-linear behavior arising from the interaction of multiple variables. Empirical data is compared with simulation one, and sensitivity analysis is conducted to validate the findings. The system studied in this research comprises five sectors: economic, socio-environmental, management, and ChatGPT. In addition, the influence of four influential variables of ChatGPT, as well as air pollution, on the sustainability of the supply chain is studied in different scenarios. The study is expected to guide policymakers and managers in using ChatGPT effectively in their organizations. By observing its long-term effects on the sustainability of the supply chain, policy-makers and managers will be better equipped to make informed decisions on its implementation. This study can also contribute to developing sustainable supply chain practices, which are essential for addressing the global challenges of environmental changes.

Suggested Citation

  • Pardis Roozkhosh & Alireza Pooya & Azam Modares & Vahideh Bafandegan Emroozi, 2025. "Exploring the adoption and long-term effects of ChatGPT in a sustainable supply chain," Flexible Services and Manufacturing Journal, Springer, vol. 37(4), pages 1335-1371, December.
    • Handle: RePEc:spr:flsman:v:37:y:2025:i:4:d:10.1007_s10696-024-09575-5
    DOI: 10.1007/s10696-024-09575-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10696-024-09575-5
    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/s10696-024-09575-5?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:spr:flsman:v:37:y:2025:i:4:d:10.1007_s10696-024-09575-5. 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.