ASSESSING THE IMPACT OF ARTIFICIAL INTELLIGENCE PREDICTIVE ANALYTICS ON LIBRARY MANAGEMENT AT ABDULLAHI FODIYO UNIVERSITY, ALIERO, KEBBI STATE

Abstract

This study assesses the impact of Artificial Intelligence (AI) predictive analytics on library management at Abdullahi Fodiyo University, Aliero, Nigeria. Adopting a descriptive analytical approach, the research surveyed 231 librarians from seven federal universities in North-Western Nigeria to evaluate the perceived influence of four key AI applications: AI-enabled cataloging and classification, automated resource management, AI-based user support systems, and predictive analytics in digital archiving. Data were analyzed using descriptive statistics (mean and standard deviation), with a criterion mean of 2.50 determining impact. Findings indicate a generally positive perception, with grand means of 2.70, 2.73, 2.55, and 2.65 for the respective applications, confirming their beneficial impact on operational efficiency, decision-making, and user satisfaction. However, results also reveal specific challenges, including inadequate staff training, inconsistent infrastructure, and underperformance in areas like automated workload reduction and advanced forecasting. The study concludes that while AI predictive analytics presents a transformative pathway for modernizing library services and bridging operational gaps in Nigerian universities, its full potential remains constrained by contextual and institutional barriers. It recommends strategic investment in AI infrastructure, the development of a supportive regulatory framework by national bodies like the NUC, and comprehensive, continuous capacity-building programs for library personnel to ensure sustainable integration and maximize the benefits of data-driven library management.