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Optimizing Resource Sharing through Artificial Intelligence: A Management and IT Perspective

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dc.contributor.author Roy, Devang
dc.contributor.author Kumar, Manoj K.
dc.contributor.author Ranjan, Vivek
dc.contributor.author Saikia, Nabajit
dc.date.accessioned 2025-04-07T14:31:51Z
dc.date.available 2025-04-07T14:31:51Z
dc.date.issued 2024-12-02
dc.identifier.citation Roy, D., Kumar, M. K., Ranjan, V., & Saikia, N. (2024, December 2). Optimizing resource sharing through artificial intelligence: A management and IT perspective [Conference poster]. 18th IFLA ILDS Conference: Global to Local – Diversity and Inclusiveness in Resource Sharing, Baku, Azerbaijan. ADA University Library. en_US
dc.identifier.uri http://hdl.handle.net/20.500.12181/1090
dc.description.abstract This poster explores the potential of Artificial Intelligence (AI) to optimize resource sharing in libraries and information centers. By addressing the challenges faced in traditional resource sharing methods, AI technologies can enhance efficiency, improve user experience, and facilities better management of information resources. The study discusses various AI applications that can be leveraged to improve resource sharing, focusing on their impact from both management and IT perspectives. en_US
dc.language.iso en_US en_US
dc.publisher ADA University Library en_US
dc.subject Artificial intelligence in resource sharing en_US
dc.subject Library management systems en_US
dc.subject Information technology in libraries en_US
dc.title Optimizing Resource Sharing through Artificial Intelligence: A Management and IT Perspective en_US
dc.type Working Paper en_US
dc.type Other en_US


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