TRANSFORMING NIGERIAN LIBRARIES INTO AI-DRIVEN INNOVATION HUBS: A SYSTEMATIC REVIEW OF TRENDS, OPPORTUNITIES, AND CHALLENGES

Iwu-James, Juliana and Abah, Mercy (2025) TRANSFORMING NIGERIAN LIBRARIES INTO AI-DRIVEN INNOVATION HUBS: A SYSTEMATIC REVIEW OF TRENDS, OPPORTUNITIES, AND CHALLENGES. In: Nigerian Library Asssociation 25th National Conference & Annual General Meeting (AGM), 4th – 6th December.

[img] Text
NLA.pdf
Download (376kB)

Abstract

The rapid growth of artificial intelligence (AI) is reshaping the global knowledge ecosystem, encouraging libraries to evolve from traditional information repositories into dynamic innovation hubs. In Nigeria, this transition is particularly urgent as libraries confront increasing demands for digital services, inclusive learning spaces, and technologically enhanced research environments. This systematic review synthesizes empirical and conceptual studies published between 2019 and 2025 with the aim to examine how Nigerian libraries are adopting AI, redesigning services, and positioning themselves as innovation-driven institutions. This research was guided by the PRISMA methodology, in which 32 publications, including journal articles, conference papers, and book chapters, were analyzed to identify emerging trends, opportunities, and systemic challenges. The review reveals that AI is enabling automated cataloguing, predictive user analytics, intelligent information retrieval, personalized support, and community-focused innovation programs. However, infrastructural limitations, inadequate AI competencies among library personnel, funding deficits, and the absence of clear regulatory frameworks constrain transformational progress. The study proposes a structured model for transforming Nigerian libraries into AI-driven, socially inclusive innovation hubs and outlines key implications for policy development, library practice, professional training, and future research.

Item Type: Conference or Workshop Item (Paper)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Management and Social Sciences
Depositing User: Uchenna Eneogwe
Date Deposited: 01 Apr 2026 08:50
Last Modified: 01 Apr 2026 08:50
URI: http://eprints.gouni.edu.ng/id/eprint/5599

Actions (login required)

View Item View Item
GOUNI Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.