The Influence of AI on Academic Environment: A Systematic Literature Review

The emergence of artificial intelligence (AI) significantly impacts firms across diverse industries. Its transformative potential is undeniable, promising unprecedented innovations and efficiencies. Educational institutes are not immune to its profound implications in this AI-driven landscape. Failure to implement and scale AI effectively could lead to a critical disadvantage, potentially rendering these institutes obsolete in the face of a new generation of highly innovative and competitive counterparts that adeptly integrate AI into their operations. Although the significance of AI is paramount, there has not yet been a systematic evaluation that effectively summarizes the articles published in management sciences. Given the research gap in this area, the objective of this work is to thoroughly analyze existing research on AI role in management sciences. This work seeks to encourage the ethical and legal adoption of AI by examining the way AI has been studied in the literature in different disciplines. To accomplish our research objectives, we examined 29 research publications on AI exploring several databases such as Science Direct, ProQuest, Taylor & Francis, Springer Link, Wiley Online, Sage Publications, Emerald, PubMed, and Google Scholar from 2014 to 2024. Our analysis involved identifying inconsistencies, highlighting significant areas of research that have not been adequately addressed, and formulating comprehensive research agendas in the form of testable propositions.