Forecasting Ghanaian Medical Library Users’ Artificial Intelligence (AI) Technology’s Acceptance and Use

Authors

DOI:

https://doi.org/10.5195/biblios.2025.1211

Keywords:

Behavioural intentions, AI-assisted technologies, Academic library, Perceived usefulness, Technology acceptance model (TAM), Ghana

Abstract

Objective. This study investigated the behavioural intentions of medical students in an academic library regarding the use of AI-assisted technologies for research and learning. Method. Employing a survey research design and a quantitative approach, the study sampled 302 respondents using Krejcie and Morgan’s published table. Statistical analyses were conducted using the Statistical Package for Social Sciences (SPSS) version 26, with linear and multiple linear regressions utilised to establish relationships between variables. Results. The results of the study indicate that perceived usefulness, perceived ease of use, and self-efficacy within the extended Technology Acceptance Model (TAM) significantly influence the behavioural intention to utilise AI in an academic library in Ghana. Additionally, the results suggest that perceived usefulness plays a more significant role in influencing behavioural intention compared to perceived ease of use. Furthermore, the study reveals a direct relationship between behavioural intention and use behaviour within TAM. Conclusion. This study underscores the critical factors within the extended Technology Acceptance Model that drive the adoption of AI in academic libraries in Ghana. The results highlight the paramount importance of perceived usefulness in shaping behavioural intention, surpassing the impact of perceived ease of use. Moreover, the direct link between behavioural intention and actual use behaviour reaffirms the model’s applicability in predicting technology adoption. These insights provide a valuable foundation for developing strategies to enhance AI integration in academic libraries, ultimately improving their operational efficiency and service delivery.

Author Biographies

Kwesi Gyesi, University of Ghana

Mr. Kwesi Gyesi is in-charge of the Electronic Resources Unit, Balme Library, University of Ghana. He holds an MPhil in Information Studies from the University of Ghana. He has diverse experience as a librarian and teaches various courses. His research interests focus on Information Needs, Information Seeking Behaviour, Digital Literacy, Electronic Resource Management, Information and Communication Technology (ICT), Marketing, Library Science, and AI in libraries. He is also a tutor at the University of Ghana Learning Centres, School of Continuing and Distance Education (SCDE), College of Education.

Vivian Amponsah, Christian Service University College

Vivian Amponsah graduated from the University of Ghana and holds an MPhil. Information Studies. She is currently the Librarian at the Christian Service University, Chapman Library, Kumasi. Her research interests include organizational culture in libraries, the use of electronic resources in libraries, AI use in libraries and reference services. She is now expanding her interest on digital preservation of cultural heritage in public libraries.

Samuel Ankamah, University of Ghana

Samuel Ankamah is a health information specialist and an Assistant Librarian at the University of Ghana. He holds an MPhil. Information Studies. His research focuses on bibliometrics, systematic reviews, and the impact of academic research in the health sector, particularly in public hospitals in Ghana. Samuel is actively involved in training researchers and clinicians in systematic review methodologies and evidence-based practices. He is also passionate about the role of artificial intelligence in enhancing library services in academic institutions.

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Published

2025-04-11

How to Cite

Gyesi, K., Amponsah, V., & Ankamah, S. (2025). Forecasting Ghanaian Medical Library Users’ Artificial Intelligence (AI) Technology’s Acceptance and Use. Biblios Journal of Librarianship and Information Science, (88), e004. https://doi.org/10.5195/biblios.2025.1211

Issue

No. 88 (2025)

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Copyright (c) 2025 Kwesi Gyesi, Vivian Amponsah, Samuel Ankamah

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