The emergence of Artificial Intelligence (AI) in the previous decade has generated a heightened interest. A rise in scholarly articles on computer science and management was seen. This paper uses a computational literature review method with an abstract-based sampling methodology to examine the current state of the management literature and assess academic research from the last twenty years. 6536 publications (1990-2020) are analyzed across five management categories, identifying 41 unique subjects showing research development before and after AI. The results indicate that the early 2010s integrated the fragmented topic network structure. The increasing trajectory of management research began from 2014 to 2015. The results offer a thorough understanding of the potential of AI in management compared to developing sectors. The era between 2021 and 2025 was primarily about sustainability and generative AI, and a separate discussion was carried out. They also give recommendations to management scholars and practitioners.
Authors: Vasudha Kurikala, Vijaya Kittu Manda
DOI: https://doi.org/10.4018/979-8-3373-2018-2.ch011
Publish Year: 2025
