Leadership for Human–AI Collaboration in Management Education: Developing the LHAC Framework

Abstract

Introduction: Artificial Intelligence (AI) is becoming an essential part of Management Information Systems (MIS) in higher education. Its integration has changed how institutions manage teaching, research, and administration. Yet, the real challenge is not the technology itself but how leaders guide people and systems to work together effectively.

Objectives: This paper aims to develop a conceptual framework that explains leadership strategies for managing Human–AI collaboration in management education.

Methods: The discussion draws on ideas from Transformational Leadership Theory, Socio-Technical Systems Theory, and Change Management literature. Through conceptual synthesis, these perspectives are combined to form the Leadership for Human–AI Collaboration (LHAC) Framework.

Results: The LHAC Framework provides a starting point for understanding how leaders in higher education can manage Human–AI collaboration more strategically. It emphasizes that strong leadership is not only about technology adoption but also about sustaining trust, creativity, and shared purpose across the institution.

Conclusions: This study presents the Leadership for Human–AI Collaboration (LHAC) Framework, highlighting three interconnected leadership dimensions—Strategic Digital Vision, Ethical and Collaborative Governance, and Continuous Learning and Adaptation—that enable effective Human–AI collaboration in higher education Management Information Systems (MIS). The framework demonstrates that leadership, rather than technology alone, is the key to fostering innovation, trust, and sustainable digital transformation. By guiding institutions to align AI adoption with organizational purpose, ensure ethical practices, and cultivate ongoing learning, the LHAC Framework offers both a conceptual foundation and practical guidance for responsible, human-centered AI integration in management education.