AI-Driven Servant Leadership: Enhancing Learning Ambidexterity and Resource Management in Higher Education

Abstract

In this research, the effect of artificial intelligence-worked servant leadership on staff results in higher education organisations is investigated with a concentration on job sectors, work association, and work performance. It also examines how the moderate impact of AI-derived leadership practices facilitates employee work outcomes. Through an analysis of data gathered from academicians on professors as well as lecturers, this study employs a quantitative research approach to assess the relationships between AI-adopted servant leadership model, job resources, work engagement, burnout and job performance. Thus, the findings demonstrate that the index of AI-driven servant leadership positively increases job resources which, in return, improve work engagement and job performance respectively. Further, the analysis of moderated multiple mediator model provided a reasonable result showing that there is a moderation effect of AI-driven leadership on job resources and work engagement. These findings show the need for incorporation of the AI tools in leadership management to enhance the employee’s engagement and overall performance. The study establishes that the use of AI in servant leadership can lead to greater positive results on the employees, meaningful insights useful for higher learning institutions and other organisations willing to create a healthy working environment and improve organisational productivity.