Professors versus Students: An Introductive Bibliometric Review of AI Acceptance in Higher Education's Specialisations of Tertiary Sector

The increasing development of artificial intelligence (AI) technology has raisedconsiderable interest in its application within educational environments, particularly inhigher education. This study examines the dynamics of AI technology acceptance amongservice sector academia with the intent of delineating the critical determinants that influenceits adoption and utilisation. Emphasising a comparative analysis, this investigationjuxtaposes the perceptions of both students and professors. A systematic keyword search wasimplemented to evaluate pertinent studies encompassing these determinants, in conjunctionwith relevant theoretical constructs and academic fields. Although the existing literatureoffers substantial information on AI adoption factors within the service sector, a lacunapersists in understanding the variables and conceptual frameworks that characterise theacceptance of AI technology in higher education in the service sector. Identifying thesedrivers of adoption could be of great benefit to students, professors, but mostly to policy-makers who are poised to devise and execute strategic initiatives advocating for the seamless integration of AI into pedagogy, scholarly inquiry, and the broader academic field.