Effects of Perceived Quality on TVET Students’ Continuance Intention to use Video Conferencing Technology
DOI:
https://doi.org/10.21834/e-bpj.v10iSI34.7476Keywords:
Perceived quality, Video conferencing technology, Continuance intention, TVETAbstract
This study investigates the continuance intention to use video conferencing technology (VCT) among Malaysian TVET students, a group often overlooked due to their hands-on learning needs. Using survey data from 114 TVET students and Structural Equation Modelling (SEM), the study found that perceived quality significantly influenced expectation confirmation and satisfaction. However, perceived usefulness did not impact satisfaction or continuance intention, diverging from traditional models. The findings suggest that factors like learning experience quality and VCT's alignment with practical training are more critical. This research extends the Expectation Confirmation Model (ECM) by offering new insights into educational technology in vocational contexts.
References
Akbar, M., Sankar, J. P., Ramayah, T., & Alkashami, M. (2025). Modeling artificial intelligence-enabled teaching continuance intentions in higher educational institutions using the expectation confirmation model ( ECM ). Cogent Education, 12(1). https://doi.org/10.1080/2331186X.2025.2479401 DOI: https://doi.org/10.1080/2331186X.2025.2479401
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351–370. DOI: https://doi.org/10.2307/3250921
Daryanto, E. (2022). The Influence of Information System Quality, Information Quality and Perceived Usefulness on User Satisfaction of Personnel Information Systems (Study at The Indonesian Army Crypto and Cyber Centre). Journal of Positive School Psychology, 2022(3), 9814–9830. http://journalppw.com
Fornell, C., & Larcker, David, F. (1981). Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. DOI: https://doi.org/10.1177/002224378101800104
Gu, W., Xu, Y., & Sun, Z. (2021). Does MOOC quality affect users’ continuance intention? Based on an integrated model. Sustainability (Switzerland), 13(22), 1–16. https://doi.org/10.3390/su132212536 DOI: https://doi.org/10.3390/su132212536
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., Black, W. C., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Cangage Learning.
Hatta Md Hani, M., Ismail, A., Soleha Razali, S., Nizan Abu Bakar, M., Liyana Rosman, N., Nasir, N., & Mohamad, Z. (2024). The Development of Digital Competence Model Among TVET Educators Towards Digitization: A Concept Paper. J. of TVET and Technology Review, 2(1), 1–18. https://publisher.uthm.edu.my/ojs/index.php/jttr DOI: https://doi.org/10.30880/jttr.2024.02.01.001
Kwak, S. G., & Kim, J. H. (2017). Central limit theorem: the cornerstone of modern statistics. Korean Journal of Anesthesiology, 70(2), 144–156. 423; DOI: https://doi.org/10.4097/kjae.2017.70.2.144
Liao, C., Palvia, P., & Chen, J. L. (2009). Information technology adoption behavior life cycle: Toward a Technology Continuance Theory (TCT). International Journal of Information Management, 29(4), 309–320. https://doi.org/10.1016/j.ijinfomgt.2009.03.004 DOI: https://doi.org/10.1016/j.ijinfomgt.2009.03.004
Liu, Y. (2024). Analyzing Influencing Factors of Undergraduates ’ Continuance Intention with Mobile Learning in Chengdu College of Arts and Sciences , China Graduate School of Business and Advanced Technology Management is indexed by the Thai Citation Index and ASEAN Cit. ABAC ODI JOURNAL Vision. Action. Outcome, 11(April), 356–375.
Mazlan, N. A., Rahim, N., & Mazlan, N. H. (2022). The Acceptance of E-Learning in Tvet Education: a Case Study of Culinary Arts Students. Journal of Islamic, 7(46), 215–226. https://doi.org/10.55573/JISED.074623
Pal, A. (2025). Zooming into the use of Zoom in higher education: A systematic literature review. Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025, 1–8. https://doi.org/10.1109/IMCOM64595.2025.10857514 DOI: https://doi.org/10.1109/IMCOM64595.2025.10857514
Prasetya, F. H., Harnadi, B., Widiantoro, A. D., & Nugroho, A. C. (2021). Extending ECM with Quality Factors to Investigate Continuance Intention to Use E-learning. 2021 6th International Conference on Informatics and Computing, ICIC 2021. https://doi.org/10.1109/ICIC54025.2021.9632995 DOI: https://doi.org/10.1109/ICIC54025.2021.9632995
Sobaih, A. E. E., Salem, A. E., Hasanein, A. M., & Abu Elnasr, A. E. (2021). Responses to covid-19 in higher education: Students’ learning experience using microsoft teams versus social network sites. Sustainability (Switzerland), 13(18). https://doi.org/10.3390/su131810036 DOI: https://doi.org/10.3390/su131810036
Subrahmanyam, G. (2022). Digital Skills Development in TVET Teacher Training. Trends Mapping Study. In Unesco-Unevoc International Centre For Technical And Vocational Education And Training (Vol. 1). https://unevoc.unesco.org/pub/trends_mapping_study_digital_skills_development_in_tvet_teacher_training.pdf
UNESCO. (2021). UNESCO Strategy for TVET (2022-2029): Transforming TVET for Successful and Just Transitions Discussion Document. https://en.unesco.org/sites/default/files/unesco-strategy-for-tvet_2022-2029-discussion-document-en.pdf
Yeap, C. F., Suhaimi, N., & Nasir, M. K. M. (2021). Issues, Challenges, and Suggestions for Empowering Technical Vocational Education and Training Education during the COVID-19 Pandemic in Malaysia. Creative Education, 12(08), 1818–1839. https://doi.org/10.4236/ce.2021.128138 DOI: https://doi.org/10.4236/ce.2021.128138
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