Exploring library service preferences: A study of information source usage in engineering colleges


Original Article

Author Details : Preety Pandey*, Shesh Mishra

Volume : 9, Issue : 2, Year : 2024

Article Page : 103-110

https://doi.org/10.18231/j.ijlsit.2024.017



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Abstract

This study investigates the perception and preferences of library services and information sources among patrons at engineering colleges, specifically focusing on the Jaypee Institute of Information Technology (JIIT), Noida. Utilizing a quantitative approach, the research employs a survey method, collecting data from a sample of 382 respondents, including undergraduate students, postgraduate students, research scholars, and faculty members. The survey assesses satisfaction levels across various resources, including print books, e-books, print journals, e-journals/databases, and multimedia resources, with a particular emphasis on AI-based library services. Results indicate that faculty members exhibit the highest satisfaction with library services, particularly those enhanced by artificial intelligence, while undergraduate students show the least satisfaction. The findings highlight the importance of understanding user preferences to enhance library offerings, optimize resource utilization, and improve overall user experience. This research contributes valuable insights into the evolving needs of engineering college patrons in a digital age and offers recommendations for library management to better serve its diverse user base, particularly through the integration of AI-driven services.


Keywords: Artificial Intelligence, Information Sources, Academic Institutions, User Preferences, Jaypee Institute of Information Technology, Digital Resources, Print Resources, AIĀ­based Services, Academic Libraries


How to cite : Pandey P, Mishra S, Exploring library service preferences: A study of information source usage in engineering colleges. IP Indian J Libr Sci Inf Technol 2024;9(2):103-110


This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.







Article History

Received : 30-09-2024

Accepted : 07-11-2024


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https://doi.org/ 10.18231/j.ijlsit.2024.017


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