Understanding how Artificial Intelligence Affects Leadership: Exploring Opportunities and Challenges through Bibliometrics

Abstract

The aim of the article is to identify opportunities and challenges in the specialized literature regarding the impact of artificial intelligence on leadership. The work is based on a bibliometric analysis of papers published on the Scopus platform in 2019-2023 and was conducted starting from an advanced search using the keywords „artificial intelligence”, „AI”, „leader”, „digital” and „leadership”. We started from the research question: What is the situation regarding the specialized literature on how artificial intelligence affects leadership? To answer this question, we proposed the following objectives: identifying the number of publications regarding the impact of artificial intelligence on leadership, determining the evolution of the number of publications, establishing the most common types of published works, highlighting bibliometric maps with the opportunities and challenges regarding the effects of AI on leadership. The bibliometric analysis served as a rigorous and objective method to understand how artificial intelligence affects leadership. This analysis was conducted in December 2023, using Microsoft Excel for graphical representations and the VOSviewer for visualizing the connections between the representative keywords of the selected articles. The main findings refer to the fact that the article sheds light on the opportunities and challenges arising from the integration of AI into management practices, thus providing valuable insights for the development of relevant strategies and policies in organizational contexts.