Authors : Sudhanshu Shekhar Mishra

Volume/Issue : Volume 11 - 2026, Issue 10 - October

Google Scholar : https://tinyurl.com/3ws5vyru

DOI : https://doi.org/10.38124/ijisrt/26Oct173

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Background: While the exponential growth of artificial intelligence (AI) in academic libraries is extensively documented, existing bibliometric scholarship has largely treated the global research landscape as a monolith. This oversight has led to a saturation of "generalist" reports that fail to address critical regional and thematic disparities.  Methods: This study analyzes 512 Scopus-indexed publications (2010–2025) using a dual-methodological approach: quantitative science mapping via VOSviewer (1.6.20) and qualitative thematic critique. We specifically contrast the research priorities of dominant geopolitical producers (China and the USA) against the emerging narrative from the Global South, with a primary focus on India.  Results: The analysis reveals a fundamental "two-speed" adoption model. The Global North prioritizes high-tech interventions—including robotics, advanced machine learning for metadata automation, and generative models—aimed at enhancing operational efficiency. In contrast, the Global South, led by pivotal recent insights from India (Mishra, 2026), emphasizes AI as a strategic survival mechanism for bridging information literacy gaps and democratizing access in resource- constrained environments.

Keywords : Artificial Intelligence, Academic Libraries, Digital Divide, Information Equity, Bibliometric Analysis, Global South, India.

References :

1. Ali, M. Y., Naeem, S. B., & Bhatti, R. (2025). Artificial Intelligence (AI) applications and usage among the LIS professionals of Pakistan. Journal of Librarianship and Information Science. doi.org
2. Alshammari, M., & Rahman, A. (2025). The transformative potential of Generative AI in academic library access services: Opportunities and challenges. Journal of Information Science. Advance online publication. doi.org
3. Asemi, A. and Asemi, A. (2018) 'Artificial intelligence (AI) application in library systems in Iran: A taxonomy study', Library Philosophy and Practice, 1840. Available at: University of Nebraska-Lincoln Digital Commons.
4. Breeding, M. (2019). AI and machine learning in libraries. Library Technology Reports, 55(1), 5–34.
5. Cox, A. M. (2020) 'Exploring the impact of artificial intelligence and robots on higher education through literature-based design fictions', International Journal of Educational Technology in Higher Education, 18(1), p. 3. doi: 10.1186/s41239-020-00237-8.
6. Cox, A. M., Pinfield, S., & Rutter, S. (2019). Extending McKinsey’s 7S model to understand strategic alignment in academic libraries. Library Management, 40(5), 313–326. doi.org
7. Hauer, T. (2017). Technological determinism and new media. International Journal of English Literature and Social Sciences, 2(2), 1–4. https://ijels.com/detail/technological-determinism-and-new-media/
8. Hervieux, S. and Wheatley, A. (2021) 'Perceptions of artificial intelligence: A survey of academic librarians in Canada and the United States', The Journal of Academic Librarianship, 47(1), p. 102270. doi: 10.1016/j.acalib.2020.102270.
9. Igbinovia, M. O., & Danquah, M. M. (2025). Artificial intelligence algorithm bias in information retrieval systems and its implication for library and information science professionals: A scoping review. Technical Services Quarterly, 42(3-4), 253–279. https://doi.org/10.1080/07317131.2025.2512282
10. Islam, M. N. and Guangwei, H. (2025) 'Trends and Patterns of Artificial Intelligence Research in Libraries: A Bibliometric Analysis', SAGE Open, 15(2), pp. 1–21. doi: 10.1177/21582440251327528.
11. Jurnal Keilmuan Perpustakaan (JKG). (2024). Digital library revolution: Welcoming the era of AI robots as smart library services. Jurnal Keilmuan Perpustakaan (JKG), 3(1). https://jkg.ub.ac.id/index.php/jkg/article/view/20
12. Kulkanjanapiban, P., Silwattananusarn, T., & Lambovska, M. (2025). Research on AI-driven innovations and services in academic libraries: A bibliometric and systematic literature review. Journal of Data and Information Science, 10(4), 146–196. https://doi.org/10.2478/jdis-2025-0036
13. Lo, L. S. (2024). Evaluating AI Literacy in Academic Libraries: A Survey Study with a Focus on U.S. Employees. College & Research Libraries, 85(5), 635–668. doi.org
14. Lo, L. S. (2025). Navigating the AI revolution: Librarian perspectives in China’s Greater Bay Area. New Review of Academic Librarianship. Advance online publication. doi.org
15. Ming, F. (2025) 'Artificial Intelligence Technology in Library Scientific Research Support Service', Frontiers in Educational Research, 8(5), pp. 171–176. doi: 10.25236/FER.2025.080525.
16. Mishra, S. S. (2026) 'Global Perspectives on AI-Driven Library and Information Services: Insights from India', The International Information & Library Review. doi: 10.1080/10572317.2026.2612871.
17. Mwantimwa, K., & Msoffe, G. (2025). Application of generative artificial intelligence in library operations and service delivery: A scoping review. Technical Services Quarterly, 42(2), 145–168. doi.org
18. Okunlaya, R. O., Syed Abdullah, N., & Alias, R. A. (2022). Artificial intelligence (AI) library services innovative conceptual framework for the digital transformation of university education. Library Hi Tech, 40(6), 1869–1892. doi.org
19. Omame, I., & Alex-Nmecha, J. C. (2020). Artificial intelligence in libraries. In Managing research data stakeholders for data-intensive research (pp. 147–167). IGI Global. doi.org
20. Pinfield, S., Salter, J., & Bath, P. A. (2017). A “Gold-centric” implementation of open access: Hybrid journals, the “Total cost of publication,” and policy development in the UK and beyond. Journal of the Association for Information Science and Technology, 68(9), 2248–2263. https://doi.org/10.1002/asi.23742
21. Salifu, A., Iddrisu, S., Richard, B., Ismail, A., Kadir, F., & Ahmed, M. (2025). Artificial Intelligence in Academic Libraries: Opportunities and Challenges. Social Science Open Access Repository (SSOAR)
22. Sousa, N. (2025). Ethical and practical implications of AI in academic library research. IFLA Journal. Advance online publication. doi.org
23. State Council of China (2017) Next-generation artificial intelligence development plans. Beijing: State Council.
24. Stock, W. G., & Stock, M. (2013). Handbook of information science. De Gruyter Saur. doi.org
25. Van Eck, N. J. and Waltman, L. (2010) 'Software survey: VOSviewer, a computer program for bibliometric mapping', Scientometrics, 84(2), pp. 523–538. doi: 10.1007/s11192-009-0146-3.
26. Wang, Y. (2022). Using machine learning and natural language processing to analyze library chat reference transcripts. Information Technology and Libraries, 41(2). doi.org