Mediaciones · 2026
CHALLENGES IN THE USE OF ARTIFICIAL INTELLIGENCE FOR INFORMATION MANAGEMENT AMONG LIBRARIANS IN NIGERIA
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Resumen
This study examines the challenges faced by librarians in a Nigerian university regarding the adoption of Artificial Intelligence (AI) for information management. It addresses how systemic and contextual factors influence perceptions of AI’s usefulness and ease of use. A qualitative case study approach was employed. Data was selected from semi-structured interviews with 12 librarians from various functional areas within the library at a mid-sized agricultural university in Nigeria. Data were collected from January to March 2025 and the study was underpinned by the Technology Acceptance Model (TAM) and the Information Systems Success Model (ISSM). Thematic analysis was applied to identify key patterns. Findings indicate that while librarians perceive AI as useful for automating routine tasks such as cataloguing, indexing, and handling frequently asked questions, significant barriers such as inadequate digital infrastructure, insufficient training, and bureaucratic procurement processes hinder effective adoption. Specifically, participants noted a steep learning curve and a reliance on donor-driven training initiatives which led to fragmented skill development. Systemic issues like unreliable electricity and high internet costs further constrained AI implementation. The systemic issues point to the relationship between technological readiness and institutional support. The results lay emphasis on the fact that perceived usefulness and ease of use are interdependent, and are influenced by systemic quality and contextual realities unique to Nigeria. The study reframes AI adoption from a purely technological challenge to a socio-technical phenomenon that is co-determined by information management practices, institutional funding priorities, and policy frameworks; and, in doing so, it offers what can be described as a correction for literature that tends to overstate the potential of AI in information management in libraries by neglecting these systemic interdependencies.