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ZENODO
Article . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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Adoption and Impact of Artificial Intelligence on Research Support and Knowledge Management in Academic Libraries: Evidence from the Mubi Zone, Nigeria.

Authors: John, Sunday; Amos, Martha; (PhD), Damaris Joseph;

Adoption and Impact of Artificial Intelligence on Research Support and Knowledge Management in Academic Libraries: Evidence from the Mubi Zone, Nigeria.

Abstract

Artificial intelligence (AI) has emerged as a significant driver of change in research support services and knowledge management practices within academic libraries globally transformative despite increasing interest and awareness, the institutional adoption of AI in Nigerian academic libraries remains limited. This study examined the extent of awareness, readiness, adoption, and impact of AI tools on research support and knowledge management in academic libraries in the Mubi Zone, Nigeria. investigated A descriptive survey research design was employed, involving 118 librarians and library staff drawn from Adamawa State University, Federal Polytechnic Mubi, and Federal University of Agriculture, Mubi comprising Data were collected using structured questionnaires and semi-structured interviews. Descriptive statistics were used to analyze levels of awareness, usage patterns, and infrastructural readiness, while one-way Analysis of Variance (ANOVA) was applied to test differences across institutions. The findings revealed that although librarians demonstrated a high level of awareness of AI technologies, actual adoption remained low and largely experimental. AI applications were mainly utilized for basic services such as metadata generation, virtual reference, and repository support, with limited application in advanced research analytics and predictive knowledge management. Predominantly Major challenges identified included inadequate ICT infrastructure, limited technical expertise, absence of institutional AI policies, and insufficient funding. The study concludes that AI adoption in Mubi Zone academic libraries is still at an early stage and recommends strategic investment in infrastructure, staff capacity development, and policy frameworks to enable sustainable AI integration.

Keywords

Research Support Services, Professional Development, Knowledge Management, Academic Libraries, Artificial Intelligence, Research Support Services, ICT Infrastructure

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green