Authors :
Aishat Ayobola Muhammed; Lawal Mukhtar Dutsinma; Lawal Gidado
Volume/Issue :
Volume 11 - 2026, Issue 10 - October
Google Scholar :
https://tinyurl.com/3846t38s
DOI :
https://doi.org/10.38124/ijisrt/26Oct992
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working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and
ResearchGate.
Abstract :
The contemporary academic landscape increasingly relies on digital tools and internet-based platforms to facilitate learning and research. This study investigated the determinants of cloud computing adoption for academic work among postgraduate students in Kwara State, Nigeria. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study examined awareness, performance expectancy, effort expectancy, social influence, and facilitating conditions. Employing a descriptive research design with a cross-sectional survey approach, structured questionnaires were administered to 375 postgraduate students selected through multi-stage and purposive sampling techniques across three universities. Data were analyzed using descriptive statistics, multiple regression, independent t-tests, and analysis of variance (ANOVA). The findings revealed that postgraduate students possess a high level of awareness and actively adopt cloud computing resources such as email and cloud storage for academic work. Furthermore, performance expectancy emerged as a strong, statistically significant positive determinant of cloud computing adoption. While gender showed no significant differences in effort expectancy or overall adoption behavior, students' academic areas of specialization significantly influenced their adoption patterns. The study highlights the need for institutional frameworks and targeted awareness campaigns to encourage seamless cloud technology integration among postgraduate researchers.
Keywords :
Cloud Computing, Technology Adoption, Postgraduate Students, UTAUT Model, Academic Work, Higher Education.
References :
- Alghushami, A. H., Zakaria, N. H., & Mat Aji, Z. (2020). Factors influencing cloud computing adoption in higher education institutions of least developed countries: Evidence from Republic of Yemen. Applied Sciences, 10(22), 8098. https://doi.org/10.3390/app10228098
- Changchit, C., Cutshall, R., & Changchit, C. (2022). Determinants of students’ intention to learn cloud computing. Journal of International Technology and Information Management, 31(1), 45–78. https://doi.org/10.58729/1941-6679.1510
- Feng, K. (2025). A unified model integrating UTAUT-Behavioural intension and object-oriented approaches for sustainable adoption of cloud-based collaborative platforms in higher education. PMC, PMC12241431.
- Ogunsola, K., & Fadoju, V. O. (2023). Investigating the use of cloud computing services among postgraduate students at the University of Ibadan, Nigeria. Journal of Digital Innovations & Contemporary Research in Science, Engineering & Technology. https://dx.doi.org/10.22624/AIMS/DIGITAL/V11N1P2
- Oyeleye, C. A., Faagbola, M. T., & Daramola, C. Y. (2014). The impact and challenges of cloud computing adoption on public universities in Southwestern Nigeria. International Journal of Advanced Computer Science and Applications (IJACSA), 13–19.
- Sharma, M., Vadalkar, S., Singh, A., Chavan, G., & Tsagarakis, K. P. (2025). How does cloud computing adoption accelerate education? – Enhancing academic results by integrating knowledge management pre and post pandemic. International Journal of Human–Computer Interaction, 1–21. https://doi.org/10.1080/10447318.2024.2440673
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
The contemporary academic landscape increasingly relies on digital tools and internet-based platforms to facilitate learning and research. This study investigated the determinants of cloud computing adoption for academic work among postgraduate students in Kwara State, Nigeria. Guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model, the study examined awareness, performance expectancy, effort expectancy, social influence, and facilitating conditions. Employing a descriptive research design with a cross-sectional survey approach, structured questionnaires were administered to 375 postgraduate students selected through multi-stage and purposive sampling techniques across three universities. Data were analyzed using descriptive statistics, multiple regression, independent t-tests, and analysis of variance (ANOVA). The findings revealed that postgraduate students possess a high level of awareness and actively adopt cloud computing resources such as email and cloud storage for academic work. Furthermore, performance expectancy emerged as a strong, statistically significant positive determinant of cloud computing adoption. While gender showed no significant differences in effort expectancy or overall adoption behavior, students' academic areas of specialization significantly influenced their adoption patterns. The study highlights the need for institutional frameworks and targeted awareness campaigns to encourage seamless cloud technology integration among postgraduate researchers.
Keywords :
Cloud Computing, Technology Adoption, Postgraduate Students, UTAUT Model, Academic Work, Higher Education.