IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-032-14489-8_6.html

Use of Generative AI in Logistics – Case Study of Croatia

Author

Listed:
  • Maja Trstenjak

    (University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture)

  • Vanina Macowski Durski Silva

    (R. Eng. Agronômico Andrei Cristian Ferreira, s/n – Trindade, Federal University of Santa Catarina)

  • Biljana Cvetić

    (The Technical University Ingolstadt of Applied Sciences)

  • Bernhard Axmann

    (University of Belgrade, Faculty of Organizational Sciences)

  • Goran Đukić

    (University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture)

  • Tihomir Opetuk

    (University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture)

Abstract

This paper explores the current state of generative artificial intelligence (GenAI) adoption in the logistics sector in Croatia. With the rapid global development of tools such as ChatGPT, Microsoft Copilot, and other AI-enhanced systems, this study investigates how logistics professionals in Croatia are engaging with these technologies in their daily work. A structured 19-item questionnaire was distributed to 552 professionals, yielding 23 valid responses. The survey examined the use of both general-purpose GenAI tools and specialized office-based applications, along with broader automation practices. Results indicate that while overall usage and satisfaction levels remain low, there is a growing awareness and strong intent to adopt GenAI tools in the near future. These findings provide a valuable foundation for understanding the early stages of GenAI integration in Croatian logistics and offer guidance for future research, policy, and industry initiatives aimed at supporting digital transformation.

Suggested Citation

  • Maja Trstenjak & Vanina Macowski Durski Silva & Biljana Cvetić & Bernhard Axmann & Goran Đukić & Tihomir Opetuk, 2026. "Use of Generative AI in Logistics – Case Study of Croatia," Lecture Notes in Operations Research,, Springer.
    • Handle: RePEc:spr:lnopch:978-3-032-14489-8_6
    DOI: 10.1007/978-3-032-14489-8_6
    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
    for a similarly titled item that would be available.

    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:lnopch:978-3-032-14489-8_6. 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.