International Journal of Knowledge Content Development & Technology

Research Institute for Knowledge Content Development & Technology (건국대학교 지식콘텐츠연구소)
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Shifting the Dynamics: Analysis of the Impact of Generative AIs on the Use of E-Resources in Universities in Ghana

  • George Clifford Yamson (University of Environment & Sustainable Development) ;
  • Amy P. A. Asimah (Regional Maritime University) ;
  • Dominic Dankwah Agyei (University of Health and Allied Sciences) ;
  • Simon Sanche (Hilla Liman Technical University) ;
  • Amos Badimuni Shibambu (Department of Information Science, University of South Africa)
  • Received : 2026.01.01
  • Accepted : 2026.02.20
  • Published : 2026.06.30
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Abstract

Electronic resources (e-resources) have long been fundamental to academic research and scholarly communication, especially within university libraries. Recent advances in Generative Artificial Intelligence (Gen AI), accelerated by the COVID-19 pandemic and swift digital transformation, have begun to reshape information-seeking behaviours in higher education, particularly in resource-limited contexts. This study investigates how generative AI tools are affecting usage patterns of e-resources, the extent to which they may hinder or enhance access to scholarly materials, and users' perceptions of their integration within academic libraries in Ghana. Guided by the Technology Acceptance Model (TAM), the study explores perceived usefulness and perceived ease of use as key factors influencing AI adoption alongside traditional e-resources. A quantitative, cross-sectional survey design was used to collect data from 1,581 students across selected public, technical, and private universities in Ghana. A census approach ensured comprehensive representation of the target population. Data were gathered using a validated, self-developed questionnaire and analysed using descriptive and inferential statistics. The results show that although generative AI tools are steadily impacting academic information-seeking behaviour, they have not entirely replaced traditional e-resources. Although 58.0% of respondents indicated that they still rely on established databases, academic journals, and digital libraries, 42.0% reported a decline in their use of traditional electronic resources. This reduction was largely attributed to the perceived convenience, speed, and efficiency offered by generative AI tools. Further analysis revealed a modest but statistically significant effect (β = .18, p = .011), indicating that senior students are more likely to diversify their use of various information tools, whereas junior students mainly depend on ChatGPT and AI tools. The findings highlight the emergence of a hybrid information environment where generative AI acts more as a complementary facilitator rather than a substitute for authoritative scholarly resources.

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References

  1. Akpojotor, L. O. (2016). Awareness and usage of electronic information resources among postgraduate students of library and information science in Southern Nigeria. Library Philosophy and Practice (e-journal), 1408. Retrieved from https://digitalcommons.unl.edu/libphilprac/1408
  2. Allen, I. E., & Weber, J. L. (2014). Doctoral students' awareness and use of electronic resources in research. The Journal of Academic Librarianship, 40(5), 505-514. https://doi.org/10.1016/j.acalib.2014.07.002
  3. Burhansab, K., Batcha, M. S., & Ahmad, S. (2021). Awareness and use of library web technologies among aided, self-financed, and pharmacy colleges: A comparative study. Library Philosophy and Practice (e-journal), 5908. Retrieved from https://digitalcommons.unl.edu/libphilprac/5908
  4. Casero-Ripollés, A., Izquierdo-Carrasco, F., & Orduna-Malea, E. (2022). Challenges and barriers to AI adoption in higher education institutions: A systematic review. Education and Information Technologies, 27(4), 5129-5154. https://doi.org/10.1007/s10639-022-10940-w
  5. Daramola, C. F. (2023). Use of electronic resources for learning among undergraduates. International Journal of Information and Communication Studies, 3(1), 45-56. Retrieved from https://ijics.org/article/view/231
  6. Fabunmi, B. A., & Akinyemi, A. A. (2024). Influence of artificial intelligence on library services and users' experiences in university libraries in Nigeria. Library Management Review, 45(2), 134-152. https://doi.org/10.1108/LMR-01-2024-0123
  7. Forka, J. N., Cheo, E. N., & Tabi, C. B. (2024). Access and usage of electronic resources and their impact on academic performance among students of the University of Bamenda. African Journal of Library and Information Science, 7(1), 33-49. https://doi.org/10.5897/AJLIS2024.0401
  8. Grieco, D., Cieri, C., & Morando, F. (2022). Ethical and practical challenges to AI implementation in higher education: Implications for policy and practice. Journal of Education and Technology, 18(3), 27-45. https://doi.org/10.1234/jet.2022.1833
  9. Isibika, I. S., & Kavishe, G. F. (2018). Utilisation of subscribed electronic resources by postgraduate students at the University of Dar es Salaam. University of Dar es Salaam Library Journal, 13(1), 85-100. Retrieved from https://www.ajol.info/index.php/udslj/article/view/170904
  10. Mukasa, R. (2024). Examining the role of artificial intelligence (AI) in transforming print journalism in Uganda (Unpublished master's dissertation). Aga Khan University, East Africa. https://ecommons.aku.edu/theses_dissertations/2160
  11. Mwalukasa, J. N., & Benard, R. (2022). Awareness and usage of subscribed electronic resources among undergraduate students in selected universities in Tanzania. International Journal of Education and Information Technologies, 16(3), 67-78. Retrieved from https://www.naun.org/main/NAUN/educationinformation/2022/a862014-cdb.pdf
  12. Naranjo, M. P., Torres, R. D., & Zhang, L. (2025). Evaluating generative AI and traditional databases for academic research: A comparative analysis in industrial engineering education. Journal of Information Systems Education, 36(1), 22-39. https://aisel.aisnet.org/jise/vol36/iss1/3
  13. Nelson, A. S., Santamaría, P.V., Javens, J. S., & Ricaurte, M. (2025). Students' Perceptions of Generative Artificial Intelligence (GenAI) Use in Academic Writing in English as a Foreign Language. Education Sciences, 15(5), 611. https://doi.org/10.3390/educsci15050611
  14. Noble Lo, A., Wong, A., & Chan, S. (2025). The impact of generative AI on essay revisions and student engagement. Computers and Education Open, 9, Article 100249. https://doi.org/10.1016/j.caeo.2025.100249
  15. Norch, J., & Adzakpa, M. (2022). Electronic resource usage patterns among postgraduate students at the University of Ghana. Ghana Library Journal, 34(2), 15-28. Retrieved from https://glajournal.org/article/view/142
  16. Qian, Y., Pedagogical Applications of Generative AI in Higher Education: A Systematic Review of the Field. Tech Trends 69, 1105-1120 (2025). https://doi.org/10.1007/s11528-025-01100-1
  17. Sousa, A. E., & Cardoso, P. (2025). Use of Generative AI by Higher Education Students. Electronics, 14(7), 1258. https://doi.org/10.3390/electronics14071258
  18. Uukongo, F., & Beukes, C. (2024). Awareness and usage of electronic resources among university students: A case study of Ogongo Campus, University of Namibia. Namibian Journal of Higher Education Research, 12(1), 55-70. Retrieved from https://journals.unam.edu.na/index.php/njher/article/view/1014 1014
  19. Wood, L., & Moss, K. (2024). Integrating generative AI into postgraduate instructional design: The AI-ICE framework for ethical and effective engagement. Computers & Education: Artificial Intelligence, 6(1), 100-118. https://doi.org/10.1016/j.caeai.2024.100118