“Hey librarian, what can AI and analytics do for you”: a systematic literature review and sociotechnical perspective

Abstract

Purpose This study aims to provide an in-depth overview of current research on artificial intelligence (AI) and analytics applications in library operations, emphasizing their adoption’s technical and social implications. Design/methodology/approach The study follows the PRISMA guidelines to synthesize existing research on AI and analytics in academic libraries. This review uses sociotechnical systems (STS) theory as a framework to evaluate the technical aspects and social dynamics involved in integrating these technologies. Findings The findings indicate that AI and analytics can significantly enhance library resource management, decision-making and user services. However, ethical, social and technical challenges, including staff training and collaboration, must be addressed to ensure responsible implementation. Originality/value This study provides the first STS-informed analysis focusing on applying AI and analytics within academic library operations. It offers actionable insights into these technologies’ unique applications and potential, bridging a gap in the literature on library-specific operational management.

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