Emerging Trends In Library And Information Science
DOI:
https://doi.org/10.23974/ijol.2026.vol11.3.623Abstract
Library and Information Science (LIS) is undergoing significant transformation due to advances in digital technologies, artificial intelligence, open-access initiatives, and changing user expectations. This study explores major LIS research trends from 2015 to 2025 using a mixed-method bibliometric and content analysis approach. Data were collected from Scopus, Web of Science, and Google Scholar, comprising approximately 850 high-quality research articles. Bibliometric analysis using Bibliometrix (R) and VOSviewer identified rapid growth in research on AI and machine learning applications, digital libraries and repositories, metadata and linked data, open science, research data management, and user-centered information services. Qualitative analysis highlighted increasing attention to data-driven decision-making, digital preservation, knowledge organization, and ethical information practices. The findings reveal a clear shift from traditional library management to technology-driven, service-oriented, and user-focused models, emphasizing the need for continuous innovation, interdisciplinary collaboration, and digital literacy development among LIS professionals.
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References
Bhattacharya, D. K., & Bandyopadhyay, G. (2020). Artificial intelligence applications in Indian academic libraries: An evaluative study. Library Progress (International), 40(1), 23–30.
Chen, Y., Zhang, L., & Xu, W. (2021). Artificial intelligence applications in digital libraries: A review. Library Hi Tech, 39(4), 985–1000. https://doi.org/10.1108/LHT-10-2020-0271
Corrall, S., Kennan, M. A., & Afzal, W. (2021). Academic libraries and research data management: Trends, challenges, and opportunities. The Journal of Academic Librarianship, 47(3), 102–117.
Foulonneau, M., & André, F. (2022). Linked data and metadata interoperability in digital libraries. Information Services & Use, 42(2), 153–168.
Islam, M. N., & Rahman, M. A. (2023). Applications of artificial intelligence in academic libraries: A bibliometric study. DESIDOC Journal of Library & Information Technology, 43(4), 238–246.
Pinfield, S., Wakeling, S., Bawden, D., & Robinson, L. (2020). Open access in theory and practice: The theory–practice relationship and the open access movement. Journal of Documentation, 76(4), 932–960.
Sarker, M. I., & Mahmud, A. (2024). Ethical challenges in artificial intelligence–driven library services. Library Philosophy and Practice, 1–14.
Thanuskodi, S. (2023). Digital transformation and professional skills among library and information science professionals in India. Library Herald, 61(2), 112–128.
Veeranjaneyulu, K. (2022). Emerging technologies in the field of library and information science: An overview. Journal of Advances in Library and Information Science, 11(3), 45–52.
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