IDEAS home Printed from https://ideas.repec.org/a/wly/corsem/v32y2025i2p1987-2001.html
   My bibliography  Save this article

Exploring the impact of artificial intelligence on the pursuit of SDGs: Evidence from European state‐owned enterprises

Author

Listed:
  • Flavio Spagnuolo
  • Raffaela Casciello
  • Ilaria Martino
  • Fiorenza Meucci

Abstract

In the context of European state‐owned enterprises (SOEs), this study examines whether the adoption of artificial intelligence (AI) facilitates the pursuit of sustainable development goals (SDGs) and how this relationship varies across the 17 individual SDGs. Results from panel and logistic regression models reveal a statistically significant positive association between AI adoption and SDGs pursuit. Additionally, the findings suggest that AI primarily supports environmental SDGs, with a more limited impact on societal and economic SDGs. The study offers practical implications for managers, investors, and policymakers. For managers, investing in AI may enhance corporate sustainability strategies. Investors with ethical concerns are encouraged to prioritize enterprises increasingly adopting AI. Finally, the study urges policymakers to explore new pathways that more effectively promote the pursuit of SDGs through AI.

Suggested Citation

  • Flavio Spagnuolo & Raffaela Casciello & Ilaria Martino & Fiorenza Meucci, 2025. "Exploring the impact of artificial intelligence on the pursuit of SDGs: Evidence from European state‐owned enterprises," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 32(2), pages 1987-2001, March.
  • Handle: RePEc:wly:corsem:v:32:y:2025:i:2:p:1987-2001
    DOI: 10.1002/csr.3047
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/csr.3047
    Download Restriction: no

    File URL: https://libkey.io/10.1002/csr.3047?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
    ---><---

    More about this item

    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:wly:corsem:v:32:y:2025:i:2:p:1987-2001. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1535-3966 .

    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.