Author
Listed:
- Mario Tani
- Valerio Muto
- Gianpaolo Basile
- Giulia Nevi
Abstract
The contemporary world is witnessing the pervasive diffusion of artificial intelligence (AI) across diverse societal domains. Concurrently, the implementation of these technologies in numerous management areas raises novel and critical ethical considerations. Considering that AI is not a neutral technology, this study employs a bibliometric approach to conduct a systematic literature review, aiming to understand the evolution of this nascent field within management studies. Our analysis is limited to publications from 2016 onward, a year widely recognized as marking the onset of significant AI dissemination. By examining the recent years of diffusion and the evolution of this phenomenon, our work reveals a fragmented field. To investigate thematic evolution, we used the Cobo method, partitioning the corpus into three distinct time slices with cut‐off points at 2020 and 2022. The findings indicate that, despite the emergence of key themes and a substantial body of research exploring AI from both technical and philosophical standpoints, the field remains in its initial stages of development. This analysis underscores the increasing relevance of research in management science concerning the responsible and ethical application of AI technologies. Consequently, this area presents considerable opportunities for future management research employing diverse managerial and theoretical frameworks, particularly in relation to the antecedents of ethical AI adoption and the implications of AI for ethical leadership.
Suggested Citation
Mario Tani & Valerio Muto & Gianpaolo Basile & Giulia Nevi, 2026.
"A Bibliometric Analysis to Study the Evolution of Artificial Intelligence in Business Ethics,"
Business Ethics, the Environment & Responsibility, John Wiley & Sons, Ltd., vol. 35(2), pages 655-677, April.
Handle:
RePEc:wly:buseth:v:35:y:2026:i:2:p:655-677
DOI: 10.1111/beer.12797
Download full text from publisher
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:buseth:v:35:y:2026:i:2:p:655-677. 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://onlinelibrary.wiley.com/journal/26946424 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.