IEEP OneView: Enhancing Program Management Efficiency Through a Centralized Dashboard Using a TAM–UTAUT Integrated Framework
Abstract
Abstract− Abstract − The growing complexity of data management in Technical and Vocational Education and Training (TVET) institutions necessitates the adoption of integrated digital solutions to improve efficiency and accuracy. This study introduces IEEP OneView, a centralized dashboard designed to streamline the management of the Industry Expert Enrichment Program (IEEP). The research examines system effectiveness and user adoption using an integrated Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) framework. A design and development research approach were employed, followed by quantitative validation using Partial Least Squares Structural Equation Modeling (PLS-SEM) collected from 45 respondents. Findings indicate significant relationships between key constructs and high user acceptance, confirming that usefulness and performance expectancy are key drivers of adoption. Ultimately, behavioral intention significantly influences actual usage, proving that IEEP OneView improves efficiency and supports digital transformation in TVET.
References
Ahmad, M., & Raza, S. A. (2024). Scaling Partial Least Squares Structural Equation Modeling (PLS-SEM) for small sample sizes in institutional research. Journal of Applied Statistics in Education, 19(2), 143–158. https://doi.org/10.1016/j.jase.2024.02.011
Al-Ammary, J. H., & Al-Lozi, M. (2021). The integration of TAM and UTAUT models to determine user acceptance of centralized administrative dashboards in higher education. International Journal of Information Management, 58, 102-119. https://doi.org/10.1016/j.ijinfomgt.2021.102315
Al-Sayid, F., & Kirkil, G. (2025). Integrating Technology Acceptance Model with UTAUT to increase the explanatory power of the effect of HCI on students’ intention to use e-learning system and perceive success. IEEE Access, 13, 20720-20739. https://doi.org/10.1109/access.2025.3534740
Al-Shaheen, A. (2022). Cloud-based performance analytics and technology adoption in regional vocational training systems. Journal of Vocational Education & Technology, 14(2), 112–128.
Chen, L., & Wang, X. (2023). Evaluating interface interactions and user behavior in university-industry collaboration portals: A TAM approach. Computers in Human Behavior, 141, 107-122.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2020). When to use and how to report the results of PLS-SEM. European Business Review, 32(1), 3–24. https://doi.org/10.1108/EBR-11-2018-0203
Jaya, S. B. (2023). The design and development of Next Generation Learning Spaces (NGLS) framework in teachers' pedagogy and technology tools (Master's thesis). Universiti Sains Malaysia. http://eprints.usm.my/60481/
Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131
Lee, A. T., Ramasamy, R. K., & Subbarao, A. (2025). Understanding psychosocial barriers to healthcare technology adoption: A review of TAM Technology Acceptance Model and Unified Theory of Acceptance and Use of Technology and UTAUT frameworks. Healthcare, 13(3), 250. https://doi.org/10.3390/healthcare13030250
Ramirez-Gomez, M. (2024). Overcoming operational complexity: Assessing the integration of institutional ERP ecosystems within South American technical colleges through UTAUT. International Journal of Educational Administration, 39(1), 45–63.
Richey, R. C., & Klein, J. D. (2014). Design and development research: Methods, strategies, and technologies. New York, NY: Routledge.
Salloum, S. A., Al-Emran, M., & Shaalan, K. (2023). Factors affecting the adoption of data-driven dashboards in educational environments: A systematic review based on acceptance models. Technology, Knowledge and Learning, 28(4), 1545–1572. https://doi.org/10.1007/s10758-022-09612-x
Siraj, S., Hussin, Z., & Shahrill, M. (2020). Design and development research (DDR) in education: Frameworks and implementation strategies. Kuala Lumpur, Malaysia: University of Malaya Press.
Tanaka, Y., & Smith, J. (2025). Visual tracking analytics for workplace learning: Designing interactive dashboards for industry apprenticeship models. Educational Technology Research & Development, 73(2), 315–334.
Venkatesh, V., Thong, J. Y., & Xu, X. (2022). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 46(2), 1151–1178. https://doi.org/10.25300/MISQ/2022/17265
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