Factors Influencing the Utilisation of High-Performance Computing (HPC) Systems in Higher Education Institutions
DOI:
https://doi.org/10.51137/wrp.ijarbm.408Keywords:
Academics, High-Performance Computing System, Organisational Support, Perceived Ease of Use, Perceived Usefulness, Technology, UtilisationAbstract
Understanding how organisational support, perceived ease of use, and perceived usefulness influence the actual use of a High-Performance Computing (HPC) system sheds light on its adoption within a higher education institution. A quantitative approach with a descriptive design was employed, surveying 218 respondents, including Master's and PhD students and academic staff, using stratified and simple random sampling techniques. Data were collected through online self-administered questionnaires and analysed using SPSS version 29.0. The findings revealed strong positive correlations between organisational support, perceived ease of use, perceived usefulness, and actual use of the HPC system, supporting prior research on technology adoption (Davis, 1989; Venkatesh et al., 2003). A moderate positive correlation was found between organisational support and perceived ease of use and perceived usefulness. This suggests that users who feel supported by their institution are more likely to find the system easy to use and valuable. Furthermore, a moderate positive correlation was found between perceived ease of use and perceived usefulness, as well as between perceived ease of use and actual use, indicating that users who find the system simple to use are more likely to adopt it. Additionally, there was a moderate positive correlation between perceived usefulness and actual use, highlighting that users engage more with the system when they recognise its benefits. In conclusion, organisational support and user perceptions are key to successfully implementing and using new technologies.
References
Al-Jody, T., Aagela, H., & Holmes, V. (2021). Inspiring the next generation of HPC engineers with reconfigurable, multi-tenant resources for teaching and research. Sustainability, 13(21), 11782. https://doi.org/10.3390/su132111782. Accessed April 18, 2025.
Alnasir, J. (2021). Ten simple rules for success with HPC, i.e., responsibly BASHing that Linux cluster. Computational Biology, 17(8), e1009207. https://doi.org/10.1371/journal.pcbi.1009207. Accessed April 12, 2025.
Alnasir, J., Thompson, P., Chohan, S., & Davis, N. (2021). Integrating HPC in biomedical research: Experiences and lessons from a UK university. Journal of Computational Science Education, 12(1), 4–10. https://doi.org/10.22369/issn.2153-4136/12/1/1. Accessed April 18, 2025.
Apon, A., Ngo, L., Payne, M., & Wilson, P. (2014). Assessing the effect of high-performance computing capabilities on academic research output. Empirical Economics, 48, 283–312. https://doi.org/10.1007/s00181-014-0833-7. Accessed April 29, 2025.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information System Quarterly. Accessed April 9, 2025.
Hebert, J., Hratisch, R., Gomes, R., Kunkel, W., Marshall, D., Ghosh, A., Doss, I., Y., Stedman, D., Stinson, B., Varghese, A., Mohr, M., Rozario, P., & Bhattacharyya, S. (2024). High-performance computing in undergraduate education at primarily undergraduate institutions in Wisconsin: Progress, challenges, and opportunities. Education and Information Technologies, 29, 18451–18475. https://doi.org/10.1007/s10639-024-12582-6. Accessed May 3, 2025.
Kaur, S., Kaur, K., Rani, P., Kaur, R., Kaur, G., & Poonia, V. (2024). Catalyzing educational transformation: A comprehensive exploration of high-performance computing integration and future trajectories. In 2024, 11th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1207–1212). IEEE. Accessed March 27, 2025.
Kocot, B., Czarnul, P., & Proficz, J. (2023). Energy-aware scheduling for high-performance computing systems: A survey. Energies. https://doi.org/10.3390/en16020890. Accessed March 25, 2025.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191–204. https://doi.org/10.1016/S0378-7206(01)00143-4. Accessed April 20, 2025.
Mutunhu, B., Nyathi, T., & Dube, S. (2021). An analysis on the adoption of high-performance computing (HPC): A case of Zimbabwe state universities. In 2021 IST-Africa Conference (IST-Africa) (pp. 1–8). IEEE. Accessed April 9, 2025.
Pallant, J. (2019). SPSS Survival Manual: A step-by-step guide to data analysis using SPSS for Windows (3rd ed.). McGraw-Hill Education.
Richmond, P., & Wasserman, W. (2018). Introduction to Genomic Analysis Workshop: A catalyst for engaging life-science researchers in high-throughput analysis. F1000Research, 8, 193. https://doi.org/10.12688/f1000research.19320.1. Accessed April 17, 2025.
Richmond, P., & Wasserman, W. (2018). Introduction to Genomic Analysis Workshop: A catalyst for engaging life-science researchers in high-throughput analysis. F1000Research, 8. https://doi.org/10.12688/f1000research.19320.1. Accessed April 28, 2025.
Tao, D., Wang, T., Wang, T., Zhang, T., Zhang, X., & Qu, X. (2020). A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior, 104, 106147. https://doi.org/10.1016/j.chb.2019.09.023. Accessed April 10, 2025.
Tetik, G., Türkeli, S., Pinar, S., & Tarım, M. (2024). Health information systems with technology acceptance model approach: A systematic review. International Journal of Medical Informatics, 190, 105556. https://doi.org/10.1016/j.ijmedinf.2024.105556. Accessed May 2, 2025.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Management Information System Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540. Accessed April 30, 2025.
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Copyright (c) 2025 Reginald Mulalo Ndwamai, Hlanganipai Ngirande (Author)
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