IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-031-80125-9_27.html
   My bibliography  Save this book chapter

An Integrative Model of AI Competencies for Business Students and Where to Acquire Them

Author

Listed:
  • Muhammed-Fatih Kaya

    (University of Hohenheim)

  • Christopher Zirnig

    (University of Hohenheim)

  • Marah Blaurock

    (University of Hohenheim)

  • Felix Zechiel

    (University of Hohenheim)

  • Mareike Schoop

    (University of Hohenheim)

Abstract

Today, value is created by making use of technologies based on artificial intelligence (AI) in almost all parts of the value chain. Business students need to acquire AI competencies to unleash the full potential of AI in organisations. Therefore, institutions of higher education need to teach AI to business students. The present research aims to identify which AI-related competencies are relevant for business graduates and which courses exist to teach respective skills. To this end, we firstly provide a comprehensive overview of the AI competence demand in today’s business world by means of a literature review and a qualitative study. Secondly, we conduct a quantitative study to analyse the curricula of leading universities and online platforms providing AI teaching. The results reveal an AI competence model for business students, an overview of current curriculum offers, and the gaps in current curricula.

Suggested Citation

  • Muhammed-Fatih Kaya & Christopher Zirnig & Marah Blaurock & Felix Zechiel & Mareike Schoop, 2025. "An Integrative Model of AI Competencies for Business Students and Where to Acquire Them," Lecture Notes in Information Systems and Organization,, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-80125-9_27
    DOI: 10.1007/978-3-031-80125-9_27
    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:lnichp:978-3-031-80125-9_27. 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.