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Date Published: 18/11/2020
Abstract Views: 372
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DOI: https://doi.org/10.38203/jiem.020.3.0019%20
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Vol. 20 No. 3 (2020)
Section
Articles
How to Cite
Nguyen, D. T., Vu, T. H. N., & Kim, H. T. (2021). Factors affecting e-learning based cloud computing acceptance: an empirical study at Vietnamese universities. Journal of International Economics and Management, 20(3), 118-133. https://doi.org/10.38203/jiem.020.3.0019
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Factors affecting e-learning based cloud computing acceptance: an empirical study at Vietnamese universities

Nguyen Dac Thanh1,, Vu Thi Hong Ngoc2, Kim Huong Trang3
1 Thuongmai University, Hanoi, Vietnam
2 Hanoi Bar Association, Hanoi, Vietnam
3 Foreign Trade University, Hanoi, Vietnam

Main Article Content

Abstract

E-learning has been a trend of higher education. Accounting students need to know how to apply flexible learning methods as they are required to study and practise in a technological environment. Nevertheless, studies on e-learning based on cloud computing for accounting students in Vietnam are still limited. This study aims to find out factors affecting the behavioral intention, the direct influence of habits, the beneficiary motivation, and the favorable conditions for the acceptance of using elearning based on cloud computing. By using data collected from a survey of 696 students and applying the theory of adopting extended UTAUT model, the estimation results from the linear structure models show that there are six determinants of accounting students’ behavioral intention, in which the performance expectancy has the strongest impact, followed by effort expectancy, price value, facilitating conditions, hedonic motivation, and social influence. Additionally, our findings suggest that despite not affecting the behavioral intention to use e-learning, habits directly impact the application. The hedonic motivation and the facilitating conditions are found to have direct and significant impacts on the use of e-learning based on cloud computing.

Article Details

Keywords

E–learning, Cloud computing, Accounting students, UTAUT model

References

Anderson, J.C. and Gerbing, D.W. (1988), "Structural equation modeling in practice: a review and recommended two-step approach", Psychological Bulletin, Vol. 103 No. 3, pp. 411 - 423.
Antonio, K.L., Yam, R.C. and Tang, E. (2007), "The impacts of product modularity on competitive capabilities and performance: an empirical study", International Journal of Production Economics, Vol. 105 No. 1, pp. 1 - 20.
Bagozzi, R.P. and Yi, Y. (1988), "On the evaluation of structural equation models", Journal of The Academy of Marketing Science, Vol. 16, pp. 74 - 94.
Bora, U.J. and Ahmed, M. (2013), "E-learning using cloud computing", International Journal of Science and Modern Engineering, Vol. 1 No. 2, pp. 9 - 12.
Brown, S.A. and Venkatesh, V. (2005), "A model of adoption of technology in the household: a baseline model test and extension incorporating household life cycle", Management Information Systems Quarterly, Vol. 29 No. 3, pp. 11 - 20.
Duong, H.T.T. and Thuy, D.T.T. (2019), "Factors affecting organizational commitment of students in Foreign Trade University’s clubs", Journal of International Economics and Management, Vol. 124, pp. 65 - 87.
Fornell, C. and Larcker, D.F. (1981), "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, Vol. 18 No. 1, pp. 39 - 50.
Hu, L.T. and Bentler, P.M. (1999), "Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives", Structural Equation Modeling: A Multidisciplinary Journal, Vol. 6 No. 1, pp. 1 - 55.
Ishaq, A. and Brohi, M. (2015), "Literature review of cloud computing in education sector: a survey with respect to Qatar", International Journal of Computer Applications, Vol. 132 No. 17, pp. 9 - 14.
Ma, W. and Yuen, A. (2011), "E-learning system acceptance and usage pattern", in Teo, T. (Eds), Technology Acceptance in Education, Sense Publishers, pp. 201- 216.
Mell, P. and Grance, T. (2011), The NIST definition of cloud computing, National Institute of Standards and Technology, US Department of Commerce, Special Publication 800 - 145.
Nguyen, T.D., Nguyen, D.T. and Cao, T.H. (2014), "Acceptance and use of information system: e-learning based on cloud computing in Vietnam", Lecture Notes in Computer Science, Vol. 8407, pp. 139 - 149.
Livermore, C.R. (2012), E-Politics and organizational implications of the internet:
power, influence, and social change: power, influence, and social change, IGI Global.
Sheppard, B.H., Hartwick, J. and Warshaw, P.R. (1988), "The theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research", Journal of Consumer Research, Vol. 15 No. 3, pp. 325 - 343.
Shirzad, M., Ahmadipour, M., Hoseinpanah, A. and Rahimi, H. (2012), "E-learning based on cloud computing", International Conference on Cloud Computing Technologies, Applications and Management (ICCCTAM), IEEE, pp. 214 - 218.
Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. (2003), "User acceptance of information technology: toward a unified view", MIS Quarterly, Vol. 27 No. 3, pp. 425 - 478.
Venkatesh, V., Thong, J.Y. and Xu, X. (2012), "Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology", MIS Quarterly, Vol. 36 No. 1, pp. 157 - 178.
Wheaton, B. and Muthen, D. (1977), “Assessing reliability and stability in panel models”, Sociological Methodology, Vol. 8, pp. 84 - 136.
Zeithaml, V.A. (1988), "Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence", Journal of Marketing, Vol. 52, pp. 2 - 22.
Zimund, B. (2015), Business research methods, 8th edition, South-Western Cengage Learning Publisher, pp. 390 - 391.