Assessing the application of artificial intelligence and machine learning technologies in library services in Africa

Ogagaoghene Uzezi Idhalama & Prisca Iheoma Nwachukwu

Library Management2025https://doi.org/10.1108/lm-07-2024-0078article
ABDC C
Weight
0.50

What the paper says

Purpose The paper aimed to investigate the status quo of the application and adoption of AI and ML technologies in providing library services in the African continent. It sought to establish the different use cases that these technologies are put to; it also sought to establish what benefits and challenges come along with the implementation of AI and ML technologies in the context of African libraries. Design/methodology/approach The study adopts the structured literature review approach that identifies the current literature on the application of AI and ML technologies in library services in Africa. It involves searching various academic databases like Scopus, Web of Science, and Google Scholar, using keywords such as “artificial intelligence,” “machine learning,” “library services” and “Africa.” It will be analyzed and synthesized in order to achieve a comprehensive overview of the topic. Findings The review finds that AI/ML technologies in African library services are still in their introductory stage, and there are hardly a few research studies and case studies conducted so far. Its potential benefits include improved information retrieval, enhanced user experience and operational efficiencies. However, a number of challenges are also emphasized in the review, which include the limited availability of technological infrastructure, lack of digital literacy among the library staff and issues concerning data privacy and security, among others. Practical implications These research findings will carry considerable weight among library professionals, policy and technology providers in Africa. The study gave strategic advice on the use of AI and ML technologies within the services provided by libraries. The critical issues have been mentioned along with best practices in this regard. The insights gained from this research can facilitate relevant training programs as well as building capacity that is so much more essential for the diffusion of these technologies in African libraries. Originality/value The present review represents, to the best of the authors’ knowledge, the first comprehensive review that specially outlines the applications of AI and ML technologies in library services on the African continent. The findings further add to the scant literature at hand and create a base for future research and implementation in the African library sector.

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https://doi.org/https://doi.org/10.1108/lm-07-2024-0078

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@article{ogagaoghene2025,
  title        = {{Assessing the application of artificial intelligence and machine learning technologies in library services in Africa}},
  author       = {Ogagaoghene Uzezi Idhalama & Prisca Iheoma Nwachukwu},
  journal      = {Library Management},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1108/lm-07-2024-0078},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.