A COMPREHENSIVE SCIENTOMETRIC ANALYSIS FOR ARTIFICIAL INTELLIGENCE AND MANAGEMENT OF UNIVERSITY LIBRARIES
Abstract
Artificial Intelligence (AI) technology has revolutionized several industries, including education to enhance research, teaching and learning. It serves as a key tool to automate library service and routine operations particularly in university contexts. The study conducted a comprehensive scientometric analysis to identify trends, patterns and mappings of research from a vast corpus of literature, focusing on publication year, document types, keywords, texts, and country. A seven-year Dataset was generated via a specialized tool - ‘Dimensions AI’ with a special search phrase and refined based on PRISMA-2020 guide for systematic review. A set of 244 eligible records were uploaded into VOSviewer for mapping and visualizations, Microsoft Excel and other tools for data analysis. The study revealed a significant increase in AI research in university libraries, with 61.07% publications in 2024; published peer-reviewed articles (34.02%) and conference paper (20.08%) populate the documents’ type in the review; countries with collaborative research lead (34.43%) the number of the publications, followed by United States, China, United Kingdom on AI and library research. The study points to areas where AI research at university libraries is expanding, particularly in terms of inter-disciplinary utilization of AI technology, geographic coverage, and publications diversity. Finally, the study concludes and recommends to policy-makers and university library stakeholders and suggests for future research, the way to improve library services.
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