IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6239-711-8_2.html

Integrating Artificial Intelligence and Green Intellectual Capital to Foster Sustainable Development in Higher Education

Author

Listed:
  • Farid Ben Abid

    (Mohamed Khider University)

  • Adel Boumedjane

    (Mohamed Khider University)

  • Taieb Abdellaoui

    (Mohamed Khider University)

Abstract

This paper explores the integration of Green Intellectual Capital (GIC) and Artificial Intelligence (AI) as a strategic pathway for promoting sustainable development in Arab universities. Drawing on contemporary literature, the study develops a conceptual understanding of how the core dimensions of GIC—green human capital, green structural capital, and green relational capital—can be enhanced through AI-enabled technologies. The analysis highlights the role of AIdriven systems, such as big data analytics, decision support systems, and predictive analytics, in strengthening knowledge creation, eco-innovation, and efficient resource management within higher education institutions. By linking AI capabilities with green intellectual assets, universities can improve environmental performance, support data-driven decision-making, and advance smart campus initiatives. The paper argues that the AI–GIC integration acts as a catalyst for sustainability-oriented institutional transformation, aligning digital innovation with environmental responsibility. Finally, the study offers practical implications for higher education leaders and provides a theoretical foundation for future empirical research on AI-enabled green universities in the MENA region.

Suggested Citation

  • Farid Ben Abid & Adel Boumedjane & Taieb Abdellaoui, 2026. "Integrating Artificial Intelligence and Green Intellectual Capital to Foster Sustainable Development in Higher Education," Advances in Economics, Business and Management Research,, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6239-711-8_2
    DOI: 10.2991/978-94-6239-711-8_2
    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:advbcp:978-94-6239-711-8_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.