How to cite this paper
Tung, T., Thao, N & Hai, T. (2021). Accounting students' perceptions of online learning in the age of industry 4.0.Management Science Letters , 11(2), 417-424.
Refrences
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Bonekamp, L., & Sure, M. (2015). Consequences of industry 4.0 on human labour and work organisation. Journal of Busi-ness and Media Psychology, 6(1), 33-40.
Chiu, C.M., Hsu, M.H., Sun, S.Y., Lin, T.C., & Sun, P.C. (2005). Usability, quality, value and online learning continuance decisions. Computers & Education, 45(4), 399-416.
Chiu, C.M., Sun, S.Y., Sun, P.C., & Ju, T.L. (2007). An empirical analysis of the antecedents of web-based learning continu-ance. Computer & Education, 49(4), 1224-1245
Dağhan, G. & Akkoyunlu, B. (2016). Modeling the continuance usage intention of online learning environments. Comput-ers in Human Behavior, 60, 198-211.
DeLone, W.H. & McLean, E.R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
DeLone, W.H. & McLean, E.R. (2003). The DeLone and McLean Model of Information Systems Success: A TenYear Up-date. Journal of Management Information Systems, 19(4), 9–30.
Dung, T. Q et al.( 2018). Cuộc cách mạng công nghiệp lần thứ tư về sự tác động đến phương pháp dạy học ở đại học hiện nay, Tạo chí Giáo dục, Số đặc biệt Kỳ 2 tháng 5/2018. Tr 94-97.
Kagermann, H. (2014). Chancen von industrie 4.0 nutzen, In T. Bauernhansl, M. ten Hompel & B. Vogel-Heuser, (Ed.). In-dustrie 4.0 in Produktion, Automatisierung und Logistik. Anwendungen Technologien Migration. Wiesbaden: Springer. pp: 603-614
Kim, B. & Oh, J. (2011). The difference of determinants of acceptance and continuance of mobile data services: A value perspective. Expert Systems with Applications, 38, 1798–1804.
Kukulska-Hulme, A. (2012). How should the higher education workforce adapt to advancements in technology for teach-ing and learning? The Internet and Higher Education, 15(4), 247-254.
Liao, C., Palvia, P., & Chen, J.L. (2009). Information technology adoption behavior life cycle: Toward a Technology Con-tinuance Theory (TCT). International Journal of Information Management, 29, 309–320.
Panigrahi, R., Srivastava, P.R., & Sharma, D. (2018). Online learning: Adoption, continuance, and learning outcome—A re-view of literature. International Journal of Information Management, 43. 1–14.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1994). Reassessment of expectations as a comparison standard in meas-uring service quality: implications for further research. Journal of Marketing, 58(1), 111-124.
Asiry, M.A. (2017). Dental students’ perceptions of an online learning. Saudi Dental Journal, 29, 167–170.
Bollen, K.A. (1989). Structural Equations with Latent Variables. John Wiley and Sons, Inc., New York.
Bonekamp, L., & Sure, M. (2015). Consequences of industry 4.0 on human labour and work organisation. Journal of Busi-ness and Media Psychology, 6(1), 33-40.
Chiu, C.M., Hsu, M.H., Sun, S.Y., Lin, T.C., & Sun, P.C. (2005). Usability, quality, value and online learning continuance decisions. Computers & Education, 45(4), 399-416.
Chiu, C.M., Sun, S.Y., Sun, P.C., & Ju, T.L. (2007). An empirical analysis of the antecedents of web-based learning continu-ance. Computer & Education, 49(4), 1224-1245
Dağhan, G. & Akkoyunlu, B. (2016). Modeling the continuance usage intention of online learning environments. Comput-ers in Human Behavior, 60, 198-211.
DeLone, W.H. & McLean, E.R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
DeLone, W.H. & McLean, E.R. (2003). The DeLone and McLean Model of Information Systems Success: A TenYear Up-date. Journal of Management Information Systems, 19(4), 9–30.
Dung, T. Q et al.( 2018). Cuộc cách mạng công nghiệp lần thứ tư về sự tác động đến phương pháp dạy học ở đại học hiện nay, Tạo chí Giáo dục, Số đặc biệt Kỳ 2 tháng 5/2018. Tr 94-97.
Kagermann, H. (2014). Chancen von industrie 4.0 nutzen, In T. Bauernhansl, M. ten Hompel & B. Vogel-Heuser, (Ed.). In-dustrie 4.0 in Produktion, Automatisierung und Logistik. Anwendungen Technologien Migration. Wiesbaden: Springer. pp: 603-614
Kim, B. & Oh, J. (2011). The difference of determinants of acceptance and continuance of mobile data services: A value perspective. Expert Systems with Applications, 38, 1798–1804.
Kukulska-Hulme, A. (2012). How should the higher education workforce adapt to advancements in technology for teach-ing and learning? The Internet and Higher Education, 15(4), 247-254.
Liao, C., Palvia, P., & Chen, J.L. (2009). Information technology adoption behavior life cycle: Toward a Technology Con-tinuance Theory (TCT). International Journal of Information Management, 29, 309–320.
Panigrahi, R., Srivastava, P.R., & Sharma, D. (2018). Online learning: Adoption, continuance, and learning outcome—A re-view of literature. International Journal of Information Management, 43. 1–14.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1994). Reassessment of expectations as a comparison standard in meas-uring service quality: implications for further research. Journal of Marketing, 58(1), 111-124.