A Bibliometric Analysis to Study the Evolution of Artificial Intelligence in Business Ethics DOI Creative Commons
Mario Tani, Valerio Muto, Gianpaolo Basile

и другие.

Business Ethics the Environment & Responsibility, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

ABSTRACT The contemporary world is witnessing the pervasive diffusion of artificial intelligence (AI) across diverse societal domains. Concurrently, implementation these technologies in numerous management areas raises novel and critical ethical considerations. Considering that AI not a neutral technology, this study employs bibliometric approach to conduct systematic literature review, aiming understand evolution nascent field within studies. Our analysis limited publications from 2016 onward, year widely recognized as marking onset significant dissemination. By examining recent years phenomenon, our work reveals fragmented field. To investigate thematic evolution, we used Cobo method, partitioning corpus into three distinct time slices with cut‐off points at 2020 2022. findings indicate that, despite emergence key themes substantial body research exploring both technical philosophical standpoints, remains its initial stages development. This underscores increasing relevance science concerning responsible application technologies. Consequently, area presents considerable opportunities for future employing managerial theoretical frameworks, particularly relation antecedents adoption implications leadership.

Язык: Английский

A Bibliometric Analysis to Study the Evolution of Artificial Intelligence in Business Ethics DOI Creative Commons
Mario Tani, Valerio Muto, Gianpaolo Basile

и другие.

Business Ethics the Environment & Responsibility, Год журнала: 2025, Номер unknown

Опубликована: Март 25, 2025

ABSTRACT The contemporary world is witnessing the pervasive diffusion of artificial intelligence (AI) across diverse societal domains. Concurrently, implementation these technologies in numerous management areas raises novel and critical ethical considerations. Considering that AI not a neutral technology, this study employs bibliometric approach to conduct systematic literature review, aiming understand evolution nascent field within studies. Our analysis limited publications from 2016 onward, year widely recognized as marking onset significant dissemination. By examining recent years phenomenon, our work reveals fragmented field. To investigate thematic evolution, we used Cobo method, partitioning corpus into three distinct time slices with cut‐off points at 2020 2022. findings indicate that, despite emergence key themes substantial body research exploring both technical philosophical standpoints, remains its initial stages development. This underscores increasing relevance science concerning responsible application technologies. Consequently, area presents considerable opportunities for future employing managerial theoretical frameworks, particularly relation antecedents adoption implications leadership.

Язык: Английский

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