Information Literacy Skills and Institutional Readiness as Predictors of Librarians’ Intention to Adopt Artificial Intelligence for Library Services in Southwest Nigerian Universities
This study investigated librarians’ information literacy skills and institutional readiness as correlates of intention to adopt Artificial Intelligence (AI) for library services in Southwest Nigerian universities. A descriptive survey research design was employed. The population comprised librarians from selected university libraries in the region. A total of 643 questionnaires were administered, out of which 498 were returned and found valid for analysis, representing a 77% response rate. Data were analyzed using descriptive statistics, Pearson Product Moment Correlation, and multiple regression analysis. The findings revealed that Librarians demonstrated a sound level of AI-related information literacy skills and demonstrate a generally positive intention to adopt AI for library services. The participating universities demonstrated a moderately supportive level of institutional readiness for AI adoption. The results further showed a significant positive relationship between information literacy skills and intention to adopt AI, as well as between institutional readiness and adoption intention. Additionally, a statistically significant joint effect of information literacy skills and institutional readiness on intention to adopt AI was established. The study concludes individual competencies and institutional preparedness are critical determinants of AI adoption in academic libraries.
Authors
- Zainab Olanihun Ambali (ORCID: https://orcid.org/0000-0001-9070-7592)
- Olaronke O. Fagbola (ORCID: https://orcid.org/0000-0003-3138-7976)
- Adeyinka Tella (ORCID: https://orcid.org/0000-0002-5382-4471)
Institutions
- University of Ilorin (NG)
- University of South Africa (ZA)
Publication Details
- Journal
- The International Information & Library Review
- Published
- 2026-11-01
- DOI
- https://doi.org/10.1080/10572317.2026.2755965
- Primary Topic
- Library Science and Information
- Type
- article
- Field-Weighted Citation Impact
- 0.00