MANAGEMENT READINESS FOR ARTIFICIAL INTELLIGENCE ADOPTION IN EDUCATIONAL INSTITUTIONS

Abstract

The integration of Artificial Intelligence (AI) in educational institutions represents a transformative shift in pedagogical approaches and administrative operations. However, the successful adoption of AI technologies is contingent upon the readiness of institutional management to embrace, implement, and sustain these innovations. This study employs the Analytic Hierarchy Process (AHP) methodology to assess management readiness for AI adoption across multiple dimensions including technological infrastructure, organizational culture, financial resources, human capital development, and strategic planning. Data were collected from 25 expert respondents comprising university administrators, IT directors, and academic leaders from various educational institutions. The AHP analysis, conducted using AHPPRO software, revealed that human capital development (weight = 0.312) emerged as the most critical factor, followed by technological infrastructure (0.268), organizational culture (0.221), strategic planning (0.142), and financial resources (0.057). The findings provide actionable insights for educational leaders seeking to enhance their institutional readiness for AI transformation, highlighting the paramount importance of investing in faculty and staff development alongside technological capabilities