Abstract
The field of Library Information Systems (LIS) has transformed with the rise of Artificial Intelligence (AI), enhancing library operations, services, and user experiences. AI improves user satisfaction by streamlining access to resources and providing librarians with tools for collection management, information retrieval, and data-driven decision-making. It enables analysis of user behavior and trends, optimizing resource allocation and collection development. By leveraging AI to assess circulation data and usage patterns, librarians can better anticipate user needs and future trends. This study examines recent advancements in AI integration within LIS over the past five years, focusing on the methodologies, tools, and algorithms used. Through a systematic literature review, the study identifies key trends, challenges, and examples of AI applications in LIS, providing insights and recommendations for future research and implementation.
Published Version
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