UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Volume 13 Issue 3
March-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2603160


Registration ID:
576225

Page Number

b487-b494

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Title

From Traditional to Intelligent Libraries: AI-Driven Knowledge Management and Open Access in Higher Education Institutions

Abstract

The rapid digital transformation of higher education institutions has redefined the traditional role of academic libraries, positioning them as intelligent knowledge hubs that leverage emerging technologies to enhance scholarly communication and institutional visibility. This study examines the transformative impact of Artificial Intelligence (AI) on knowledge management practices and open access initiatives within academic libraries. It explores how AI-driven tools—such as machine learning algorithms, natural language processing, intelligent cataloguing systems, and predictive analytics—are reshaping information organization, retrieval, research support services, and institutional repository management. The paper adopts a systematic review and conceptual analysis approach, synthesizing recent scholarly literature to identify key opportunities, implementation challenges, and strategic implications associated with AI integration in library ecosystems. Findings indicate that AI enhances metadata generation, research discoverability, personalized user services, and automation of repository workflows, thereby strengthening open access dissemination and academic collaboration. However, issues related to digital infrastructure, ethical concerns, data privacy, algorithmic bias, skill gaps, and financial constraints pose significant barriers to effective adoption. The study proposes a strategic framework for transitioning from traditional service-oriented models to intelligent, AI-enabled knowledge management systems that align with institutional research goals and sustainable development priorities. By integrating AI technologies with open access policies, higher education institutions can improve research visibility, operational efficiency, and knowledge democratization. The paper contributes to the evolving discourse on smart academic libraries and provides actionable insights for policymakers, library professionals, and institutional leaders seeking to foster innovation in scholarly communication.

Key Words

Artificial Intelligence, Academic Libraries, Knowledge Management, Open Access, Institutional Repositories, Higher Education Institutions.

Cite This Article

"From Traditional to Intelligent Libraries: AI-Driven Knowledge Management and Open Access in Higher Education Institutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.b487-b494, March-2026, Available :http://www.jetir.org/papers/JETIR2603160.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"From Traditional to Intelligent Libraries: AI-Driven Knowledge Management and Open Access in Higher Education Institutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. ppb487-b494, March-2026, Available at : http://www.jetir.org/papers/JETIR2603160.pdf

Publication Details

Published Paper ID: JETIR2603160
Registration ID: 576225
Published In: Volume 13 | Issue 3 | Year March-2026
DOI (Digital Object Identifier):
Page No: b487-b494
Country: Dubai, Dubai, United Arab Erimates .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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