Reimaging Information Retrieval: A Qualitative Study of Perception and Adoption of Artificial Intelligence by Librarians in Private Universities in Southwest Nigeria
DOI:
https://doi.org/10.12775/FT.2026.005Keywords
Artificial intelligence;, Digital literacy, Information retrieval, Socio-technical systems, Technology adoptionAbstract
The integration of artificial intelligence (AI) into academic library information retrieval (IR) systems is transforming search practices globally, yet empirical evidence from Nigerian private universities remains limited. This qualitative study explores perceptions and adoption of AI in IR practices among 194 librarians at private universities in Southwest Nigeria, using semi-structured interviews, focus group discussions and document analysis. A total of 36 participants were purposively selected as sample for the study. Data were collected using interviews, focus group discussions and document reviews. Findings reveal that librarians recognize AI as enhancing search precision, metadata quality and user satisfaction; however, adoption is constrained by limited technical expertise, infrastructural deficits, and the absence of formal AI policies. Ethical concerns, such as algorithmic bias and data privacy, also shape engagement with AI systems. The study concluded that effective AI integration requires human-AI collaboration, institutional support, targeted capacity-building, and context-sensitive governance frameworks. These insights provided practical guidance for library managers, policymakers and LIS educators aiming to harness AI responsibly in academic libraries, particularly for retrieval services.
References
Abba, T. (2025). Use of artificial intelligence technologies in rendering library services: An empirical evidence from university libraries in Africa. African Journal of Library, Archives and Information Science, 34(1), 23–35. https://doi.org/10.4314/ajlais.v34i1.2
Alam, A. F., Subaveerapandiyan, A., Mvula, D., & Tiwary, N. (2024). AI literacy and Zambian librarians: A study of perceptions and applications. Open Information Science, 8(1), Article 20220166. https://doi.org/10.1515/opis-2022-0166
Barman, B. (2025). Artificial intelligence and machine learning in libraries: Transforming information access and management. RGU Journal of Social Science and Research, 1(1), 1–7. https://doi.org/10.3254/rgujssr.v1i1.4
Benahal, A. R. (2024). Evaluation of AI-generated keywords for information retrieval in library catalogues. Journal of Information and Knowledge, 61(4), 197–203. https://doi.org/10.17821/srels/2024/v61i4/171505
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Dearing, J. W., & Cox, J. G. (2018). Diffusion of innovations theory, principles, and practice. Health Affairs, 37(2), 183–190. https://doi.org/10.1377/hlthaff.2017.1104
Gbadebo, A. D. (2024). Application of artificial intelligence and machine learning in academic libraries. International Journal of Social and Educational Innovation (IJSEIro), 11(22), 184–201. https://journals.aseiacademic.org/index.php/ijsei/article/view/417
Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field Methods, 18(1), 59–82. https://doi.org/10.1177/1525822X05279903
Igbo, H. U., Imo, N. T., Jidere, U. J., & Ugwu, F. N. (2025). Adopting artificial intelligence in academic library services in Nigeria: Requirements and challenges. Nigerbiblios: Journal of National Library of Nigeria, 34(1), 1–18. https://nigerbiblios.nln.gov.ng/index.php/nigerbiblios/article/view/145
Islam, M. N., Ahmad, S., Aqil, M., Hu, G., Ashiq, M., Abusharhah, M. M., & Saky, S. A. T. M. (2025). Application of artificial intelligence in academic libraries: A bibliometric analysis and knowledge mapping. Discover Artificial Intelligence, 5, Article 59. https://doi.org/10.1007/s44163-025-00295-9
Kini, K. S., Ranjan, K., Avula, V. A., Ratkanthiwar, M. S., Kondagurle, M. R., Agashe, P. A. T., & Zende, S. S. (2024). The role of artificial intelligence in enhancing information retrieval systems in academic libraries. Library Progress International, 44(3), 22526–22541. https://bpasjournals.com/library-science/index.php/journal/article/view/2875
Kisilowska-Szurmińska, M. (2025). Artificial intelligence in academic libraries: A tool, a collaborator, an adversary? A Delphi study of university librarians in Poland. The Journal of Academic Librarianship, 51(5), Article 103114. https://doi.org/10.1016/j.acalib.2025.103114
Mala, J. M. (2024). From Dewey to deep learning: Exploring the intellectual renaissance of libraries through artificial intelligence. Journal of Information and Knowledge, 61(1), 29–38. https://doi.org/10.17821/srels/2024/v61i1/171001
Marasinghe, M. M. I. K., Gunasekera, D., & Senevirathne, W. A. R. (2024). Application of artificial intelligence for library services: A systematic literature review. Journal of the University Librarians Association of Sri Lanka, 27(2), 257–284. https://doi.org/10.4038/jula.v27i2.8089
Muhammad, Z. D., Adamu, R., Abubakar, S., & Ibrahim, K. (2025). Application of artificial intelligence in information retrieval for academic research: A systematic literature review using PRISMA. Dala Journal of Library and Information Practice, 3(1). https://kijcl.khairun.edu.ng/index.php/djlip/article/view/63
Mupaikwa, E. (2024). The application of artificial intelligence and machine learning in academic libraries. In M. Khosrow-Pour (Ed.), Advances in information quality and management: Encyclopedia of Information Science and Technology (6th ed., pp. 1–18). IGI Global. https://doi.org/10.4018/978-1-6684-7366-5.ch041
Narendra, A. P., Dewi, C., Gunawan, L. S., & Ardi, A. S. (2025). Artificial intelligence implementation in library information systems: Current trends and future studies. Vietnam Journal of Computer Science, 12(3), 209–233. https://doi.org/10.1142/S2196888824300023
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
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