Assessing Faculty Readiness for AI Integration in Management Education: An Empirical Study of B Schools

Abstract

Artificial Intelligence (AI) is rapidly reshaping management education, yet the readiness of faculty to fit in AI into their teaching remains poorly understood. This study observes faculty AI readiness across five dimensions which are awareness, skill, attitudinal alignment, AI resource availability, and professional learning opportunities using survey data from 31 faculty members and 40 students at management institutes in Mumbai. Findings reveal that total readiness (M = 2.86, SD = 0.97) falls below the scale middle point, while AI Skill (M = 2.61) and access to professional learning opportunities (M = 2.66). Apart from that a significant adoption gap exists between faculty and students (F = 5.44, p = 0.023). Professional Learning Opportunities and positive attitude are the two strongest analysts of readiness. The paper contributes a readiness framework and a three-stage faculty development model with direct implications for management institutes.