Transforming Library Services through Predictive Analytics: A User-Centric and Resource-Driven Approach
Author(s): Dr. Avineni Kishore
Abstract - Libraries are transforming into dynamic centers of knowledge by incorporating advanced technologies to improve their services and operations. Predictive analytics, a field of data analytics that utilizes historical data to anticipate future trends, has become a powerful tool for library management and user engagement. This paper examines the role of predictive analytics in optimizing resource allocation, personalizing user experiences, and enhancing operational workflows. By studying user behavior, borrowing trends, and research patterns, libraries can proactively meet user needs, refine their collection strategies, and enhance efficiency. The discussion also addresses ethical concerns related to data privacy and equitable access, ensuring the responsible application of these technologies. The study highlights the potential of predictive analytics to establish libraries as forward-thinking, data-informed institutions that adapt to the changing needs of their users.
.Keywords - Predictive analytics, libraries, user experience, resource management, data-driven services
DOI URL: https://doi.org/10.26761/ijrls.11.2.2025.1893
Cite This Article As: Kishore, A. (2025) Transforming Library Services through Predictive Analytics: A User-Centric and Resource-Driven Approach International Journal of Research in Library Science (IJRLS), 11(2) 312-318. www.ijrls.in
Copyright © 2025 Author(s) retains the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0.
Paper ID: IJRLS-1893 Page: 312-318 Publication Date: 27 June 2025