A Systematic Literature Review of Technology Acceptance Model and Theory of Planned Behaviour towards Online Learning Perspective


  • Hui Li Gao School of Foreign Studies Northwestern Polytechnical University




Online Learning, E-learning, Technology Acceptance Model, Theory of Planned Behaviour.


In recent years, due to the rapid development of the Internet, it has changed the national, social, economic, and cultural levels, and has become more involved in everyone’s daily life. We absorb information and knowledge through the Internet. The speed of knowledge innovation in modern society is extremely fast, and online learning has become increasingly popular. It can effectively cross the limits of time and space and provide people with new learning channels. Online learning has become the most important issue nowadays. This study is expected to collate and discuss the relevant research on the application of Technology Acceptance Model and Theory of Planned Behavior to online learning in the academic contribution. In terms of practical meaning, the period can give the government, educational institutions and universities and other institutions the development and promotion of specific recommendations for online learning, so that foreign language learners can learn online and enhance the competitiveness of employment and school. This study provides future research on the adoption and introduction of domestic online learning through the trend comparison of international journals, and calls on domestic researchers to focus on the scientific, institutional and historical context factors to enrich our online learning in the educational environment. In the future research direction, this study suggests that online learning requires multi-level, inter-connected analysis at different levels of individuals, organizations, and industries in future research.

Author Biography

  • Hui Li Gao, School of Foreign Studies Northwestern Polytechnical University


Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.

Ajzen, I. (2002). Perceived behavior control, self-efficacy, locus of control, and the Theory of planned behavior. Journal of Applied Social Psychology, 32, 1-20.

Al-Harbi, K. A. S. (2011). E-Learning in the Saudi tertiary education: Potential and challenges. Applied Computing and Informatics, 9(1), 31-46.

Al-Hawari, M. A., & Mouakket, S. (2010). The influence of technology acceptance model (tam) factors on students' e-satisfaction and e-retention within the context of use e-learning. Education, Business and Society: Contemporary Middle Eastern Issues, 3(4), 299-314.

Anderson, E. W. and Sullivan, M. W., (1993). The antecedents and consequences of customer satisfaction for firms", Marketing Science, 12(2), 125-143.

Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS Quarterly, 25(3), 351-370.

Cheon, J., Lee, S., Crooks, S. M., & Song, J. (2012), "An investigation of mobile learning readiness in higher education based on the theory of planned behavior.", Computers & education, 59 (3), 1054-1064.

Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160-175.

Chu, T. H., & Chen, Y. Y. (2016). With good we become good: Understanding e-learning adoption by theory of planned behavior and group influences. Computers & Education, 92, 37-52.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982-1003.

Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13(3), 319-340.

Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to examine faculty use of Learning Management Systems (LMSs) in higher education institutions. Journal of Online Learning & Teaching, 11 (2), 210-232

Fishbein, M., and Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research", Reading, MA: Addison-Wesley.

Hadadgar, A., Changiz, T., Masiello, I., Dehghani, Z., Mirshahzadeh, N., & Zary, N. (2016). Applicability of the theory of planned behavior in explaining the general practitioners eLearning use in continuing medical education. BMC Medical Education, 16 (1), 215.

Hennig-Thurau, T., and Klee, A. (1997). The impact of customer satisfaction and relationship quality on customer retention: A critical reassessment and model development. Psychology and Marketing, 14(8), 737-764.

Kettinger, W.J. and Lee, C.C. (1994). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25(5/6), 737-766.

Lee, M. C. (2010). Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54(2), 506-516.

Lee, Y. H., Hsieh, Y. C., & Hsu, C. N. (2011). Adding innovation diffusion theory to the technology acceptance model: Supporting employees' intentions to use e-learning systems. Journal of Educational Technology & Society, 14(4), 124-137.

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.

Levit, T. (1986). The Marketing Imagination, New York: The Press.

Liao, C., Chen, J.L., and Yen, D.C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804-2822.

Lin, C.P., & Ding, C.G. (2006). Evaluating the group differences in gender during the formation of relationship quality and loyalty in ISP service. Journal of Organizational and End User Computing, 18(2), 38-62.

Liu, I. F., Chen, M. C., Sun, Y. S., Wible, D., & Kuo, C. H. (2010). Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community. Computers & Education, 54(2), 600-610.

Mahmood, M. A., Hall, L., & Swanberg, D. L. (2001). Factors affecting information technology usage: A meta-analysis of the empirical literature. Journal of Organizational Computing and Electronic Commerce, 11(2), 107-130.

Mohammadi, H. (2015). Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, 45, 359-374.

Nassuora, A. B. (2012). Students acceptance of mobile learning for higher education in Saudi Arabia. American Academic & Scholarly Research Journal, 4(2), 24-30.

Oliver, Richard L. (1980). A Cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.

Rosenberg, M. J. (2001). E-Learning: Building successful online learning in your organization. McGrow Hill, New York, NY, USA.

Sánchez, R. A., & Hueros, A. D. (2010). Motivational factors that influence the acceptance of Moodle using TAM. Computers in Human Behavior, 26 (6), 1632-1640.

Stum, David L and Alain Thiry (1991). Building Customer Loyalty. Training and Development Journal, 45, 34-36.

ŠUmak, B., HeričKo, M., & PušNik, M. (2011). A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types. Computers in Human Behavior, 27 (6), 2067-2077.

Šumak, B., Heričko, M., Pušnik, M., & Polančič, G. (2011). Factors affecting acceptance and use of Moodle: An empirical study based on TAM. Informatica, 35 (1), 91-100.

Teo, T., & Beng Lee, C. (2010). Explaining the intention to use technology among student teachers: An application of the Theory of Planned Behavior (TPB). Campus-Wide Information Systems, 27 (2), 60-67.

Woo, Ka-Shing and H. K. Y. Fock (1999). Customer satisfaction in the Hong Kong mobile phone industry. The Service Industries Journal, 19(3), 162-174.

Yao, S. Y. (2010). Utility of the TRA and TPB for predicting the e-learning behavioral intention and actual behavior of students'. In Proceedings of 2010 Third International Conference on Education Technology and Training.

Yoo, S. J., Han, S. H., & Huang, W. (2012). The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea. Computers in Human Behavior, 28(3), 942-950.

Yeap, J. A., Ramayah, T., & Soto-Acosta, P. (2016). Factors propelling the adoption of m-learning among students in higher education. Electronic Markets, 26 (4), 323-338.

Zanjani, M., Vali, F., & Ramazani, M. (2012). Investigation of e-learning acceptance in teaching English language based on TAM Model. ARPN Journal of Systems and Software, 2 (11), 289-293.







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