Abstract

As artificial intelligence reshapes business education, this study explores how the adoption and challenges of artificial intelligence (AI) in business administration education at private Institutes. A survey of 205 teachers and students, as well as UTAUT-based modeling of technology acceptance, demonstrate that performance expectancy (β=1.21) and job experience (β=0.748) are significant adoption factors. However, basic knowledge gaps (β=-0.712) and low student motivation for formal AI training greatly impede acceptance. Critical barriers include "teaching-learning" role conflicts, "old-new" pedagogical contradictions, and the under-utilization of smart infrastructure, despite its positive impact. Results indicate that effective AI integration requires redesigning curricula to align AI literacy with employment demands, enhancing teacher training for technical identity adaptation, strengthening institutional policy infrastructure support, and establishing ethical safeguards against misuse. This study provides an empirically validated framework for AI adoption in applied business education and practical strategies for navigating digital transformation in higher education.

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