International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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User Satisfaction with AI-Enabled Digital Library Services in University Libraries: An Empirical Analytics-Driven Study

Author(s) Jarnail Singh, Gurinder Kaur Sandhu
Country India
Abstract University libraries are undergoing a significant transformation as digital services become increasingly intelligent, data-driven, and user-centered. This study presents a comprehensive, analytics-driven synthesis of research examining user satisfaction with advanced digital library services in university libraries. It traces the evolution of digital libraries from traditional automated systems to intelligent service ecosystems and systematically reviews empirical evidence on how emerging technologies influence user experiences. Drawing on established theoretical frameworks from information systems and library science, the study identifies key determinants of user satisfaction, including service quality, system usability, personalization, trust, transparency, and ethical considerations. Through an integrated analysis of survey-based studies, usage analytics, and mixed-method research, the paper highlights methodological trends, regional and disciplinary variations, and persistent challenges such as algorithmic bias, privacy concerns, digital literacy gaps, and infrastructural constraints. The findings underscore the importance of analytics-informed evaluation and responsible governance in aligning advanced digital library services with user expectations and academic needs. The study concludes by outlining future research directions and offering theoretical, practical, and policy implications to support evidence-based development of intelligent digital library services in higher education.
Keywords Digital library services, User satisfaction, University libraries, Analytics-driven evaluation, Personalization, Information systems success.
Published In Volume 8, Issue 1, January-February 2026
Published On 2026-02-13
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E-ISSN 2582-2160
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