Integration of Artificial Intelligence in Collection Development and Management
B. Nandeesha (),
V. Rajasekar () and
Kutty Kumar
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B. Nandeesha: All India Institute of Speech and Hearing (Ministry of Health and Family Welfare, Govt. of India), Asst. Library and Information Officer
V. Rajasekar: Asst. University Librarian, Gr.I University Library, Anna University
Kutty Kumar: Sri Venkateswara Veterinary University, Assistant Professor Library and Information Science University Library
A chapter in Proceedings of the International Conference on Marching Beyond the Libraries: Talent, Technology, and Transformation (ICMBL 2025), 2026, pp 39-44 from Springer
Abstract:
Abstract This study examines how artificial intelligence (AI) can be incorporated into the creation and administration of collections in academic, public, and special libraries. 32 library professionals were surveyed using a structured questionnaire to gauge their knowledge, education, opinions, and present usage of AI tools. ANOVA and crosstabulation were two statistical techniques used to examine the connections between AI-related variables and library type. The results show that although people’s fundamental understanding of AI is fairly consistent, there are notable variations in training options and perceived difficulties, with academic libraries being given preference. Participation in AI workshops and the difficulties encountered during implementation were found to be strongly correlated with the type of library. To close the gap in AI adoption, the findings emphasize the necessity of focused training and assistance, particularly in public and special libraries. This study advances knowledge of strategic planning and institutional preparedness for the integration of AI in library services.
Keywords: Collection Development; Library Management; Artificial Intelligence; Academic Library; Public Library; Library Professionals (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-614-2_5
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DOI: 10.2991/978-94-6239-614-2_5
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