This analysis examines challenges and prospects for Nigerian libraries in adapting services, suggesting AI and IoT can enhance user sustainability.
The Nigerian library landscape is on the edge of a profound transformation driven by the ongoing digital revolution and the emergent 5th Industrial Revolution (5IR). This paper critically examines the imperative for Nigerian libraries to proactively adapt their services to ensure long-term user sustainability in this rapidly evolving technological and societal context. The 5IR, characterized by enhanced human-machine collaboration, hyperpersonalization, and focus on sustainability, presents both unprecedented opportunities and significant challenges for library and information service delivery. The paper argues that traditional library models must evolve to leverage 5IR technologies such as advanced Artificial Intelligence (AI), the Internet of Things (IoT), and augmented/virtual reality (AR) to create more user-centric, accessible, and resilient services. The paper further emphasis that it is imperative to explore the potential of these technologies to enhance information access, personalize user experiences, streamline library operations, and foster digital literacy among Nigerian communities. However, the paper also addresses critical challenges specific to the Nigerian context, including the persistent digital divide, infrastructural limitations, the need for skilled library professionals, and the ethical considerations surrounding data privacy and algorithmic bias. By analyzing these prospects and challenges, this paper aims provide a forward-looking perspective on strategic directions for transforming library services to ensure their continued relevance and sustainability for users in the age of the 5th Industrial Revolution. We advocate for proactive policy formulation, collaborative initiatives, and a commitment to innovation to position Nigerian libraries as vital engines for knowledge access, community engagement, and national development in the years to come.
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Adadu et al. (2025) studied this question.
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