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Research on AI-driven innovations and services in academic libraries: A bibliometric and systematic literature review Cover

Research on AI-driven innovations and services in academic libraries: A bibliometric and systematic literature review

Open Access
|Jun 2025

Abstract

Purpose

This study aims to analyze academic research on Artificial Intelligence (AI) applications and tools in academic libraries, focusing on publications from the Scopus database between 2014 and 2024.

Design/methodology/approach

The study adheres to the PRISMA protocol, using VOSviewer, Bibliometrix, and Rstudio’s Biblioshiny function for bibliographic analysis and visualization.

Findings

The study highlights how the potential of AI in academic libraries may be increased by changing user needs and technical advancements. It comprises four thematic clusters: foundational technologies (machine learning, natural language processing, and automation), emerging innovations (generative AI), user-centric applications (chatbots), and the importance of AI literacy. It also reveals research gaps in automation and strategic AI integration, providing recommendations for improving library services.

Research limitations

The study is limited to articles published between 2014 and 2024 in the Scopus database, potentially excluding previous foundational work and research from other sources.

Practical implications

The study offers policymakers and library practitioners insightful information on effectively utilizing AI tools. This may result in overlooking earlier foundational work and research from multiple sources.

Originality/value

The study discovers the role of artificial intelligence (AI) in modernizing academic libraries, identifying research gaps, and providing strategic insights to improve technology and user experience.

DOI: https://doi.org/10.2478/jdis-2025-0036 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 146 - 196
Submitted on: Feb 4, 2025
Accepted on: May 30, 2025
Published on: Jun 17, 2025
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Pachisa Kulkanjanapiban, Tipawan Silwattananusarn, Maya Lambovska, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.