R. Agarwal and J. Prasad, Are individual differences germane to the acceptance of new information technologies? Decision Sciences, pp.361-391, 1999.

J. Ajzen and M. Fishbein, Understanding attitudes and predicting social behavior, 1980.

I. Ajzen, The theory of planned behavior, Organizational Behavior and Human Decision Processes, vol.50, issue.2, pp.179-211, 1991.
DOI : 10.1016/0749-5978(91)90020-T

G. E. Anscombe, Intention (2nd Ed.), 1957.

R. R. Bagozzi, The legacy of the technology acceptance model and a proposal for a paradigm shift, Journal of the Association of Information Systems, vol.8, issue.4, pp.244-254, 2007.

I. Benbasat and H. Barki, Quo vadis, TAM?, Journal of the Association of Information Systems, vol.8, issue.4, pp.211-218, 2007.

I. Benbasat, HCI research: Future challenges and directions, AIS Transaction on Human-Computer Interaction, vol.2, issue.2, pp.16-21, 2010.

A. Bhattacherjee, Understanding Information Systems Continuance: An Expectation-Confirmation Model, MIS Quarterly, vol.25, issue.3, pp.251-370, 2001.
DOI : 10.2307/3250921

K. M. Buckley, Evaluation of classroom-based, web-enhanced, and web-based distance learning nutrition courses for undergraduate nursing, Journal of Nursing Education, issue.8, pp.42-367, 2003.

W. W. Chin and P. A. Todd, On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in MIS Research: A Note of Caution, MIS Quarterly, vol.19, issue.2, pp.237-246, 1995.
DOI : 10.2307/249690

N. W. Coppola, S. R. Hiltz, and N. G. Rotter, Becoming a virtual professor: Pedagogical roles and asynchronous learning networks, Journal of Management Information Systems, vol.18, issue.4, pp.169-189, 2002.

P. A. Dabholkar and R. P. Bagozzi, An Attitudinal Model of Technology-Based Self-Service: Moderating Effects of Consumer Traits and Situational Factors, Journal of the Academy of Marketing Science, vol.30, issue.3, pp.184-201, 2002.
DOI : 10.1177/0092070302303001

F. D. Davis, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, vol.13, issue.3, pp.319-340, 1989.
DOI : 10.2307/249008

D. Guinea, A. O. Markus, and M. L. , Why break the habit of a lifetime? Rethinking the role of intention, habit, and emotion in continuing information technology use, MIS Quarterly, vol.33, issue.3, pp.433-444, 2009.

A. Dimoka, R. Bagozzi, R. Banker, E. Brynjolfsson, F. Davis et al., NeuroIS: Hype or Hope?, Proceedings of the 30th International Conference on Information Systems, pp.1-11, 2009.

R. D. Freeze, K. A. Alshare, P. L. Lane, and H. J. Wen, IS success model in elearning context based on students' perceptions, Journal of Information systems education, vol.21, issue.2, pp.173-184, 2010.

D. Gefen and D. W. Straub, The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption, Journal of the Association of Information Systems, vol.1, issue.8, pp.1-28, 2000.

D. L. Goodhue, Comment on Benbasat and Barki's " Quo vadis TAM " article, Journal of the Association of Information Systems, vol.8, issue.4, pp.219-222, 2007.

T. Honderich, The Oxford companion to philosophy, 1995.

M. Igbaria, N. Zinatelli, P. Cragg, and A. L. Cavaye, Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model, MIS Quarterly, vol.21, issue.3, pp.279-305, 1997.
DOI : 10.2307/249498

A. K. Islam, The determinants of the post-adoption satisfaction of educators with an e-learning system, Journal of Information Systems Education, vol.22, issue.4, pp.319-332, 2011.

A. K. Islam, The role of perceived system quality as the educators' motivation to continue e-learning system use, AIS Transaction on Human-Computer Interaction, vol.4, issue.1, pp.25-43, 2012.

A. K. Islam and M. Mäntymäki, Continuance of professional social networking sites: A decomposed expectation-confirmation approach, Proceedings of the International Conference on Information System, 2012.

A. K. Islam, Investigating e-learning system usage outcomes in the university context, Computers & Education, vol.69, pp.387-399, 2013.
DOI : 10.1016/j.compedu.2013.07.037

C. M. Jackson, S. Chow, and R. A. Leitch, Toward an Understanding of the Behavioral Intention to Use an Information System, Decision Sciences, vol.21, issue.10, pp.357-389, 1997.
DOI : 10.2307/249085

J. S. Jasperson, P. E. Carter, and R. W. Zmud, A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems, MIS Quarterly, vol.29, issue.3, pp.525-557, 2005.

E. Karahanna, D. W. Straub, and N. L. Chervany, Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs, MIS Quarterly, vol.23, issue.2, pp.183-213, 1999.
DOI : 10.2307/249751

S. S. Kim, N. K. Malhotra, and S. Narasimhan, Research Note???Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison, Information Systems Research, vol.16, issue.4, pp.418-432, 2005.
DOI : 10.1287/isre.1050.0070

I. Lakatos, Falsification and the methodology of scientific research programmes. In: Criticism and the growth of knowledge, pp.91-196, 1970.

I. Lakatos, The methodology of scientific research programmes: Philosophical papers, 1978.
DOI : 10.1017/CBO9780511621123

A. L. Lederer, D. J. Maupin, M. P. Sena, and Y. Zhuang, The technology acceptance model and the World Wide Web, Decision Support Systems, vol.29, issue.3, pp.269-282, 2000.
DOI : 10.1016/S0167-9236(00)00076-2

Y. Lee, K. A. Kozar, and K. Larsen, The technology acceptance model: Past, present, and future, Communications of the Association for Information Systems, vol.12, pp.752-780, 2003.

J. Lee and W. Lee, The relationship of e-Learner???s self-regulatory efficacy and perception of e-Learning environmental quality, Computers in Human Behavior, vol.24, issue.1, pp.32-47, 2008.
DOI : 10.1016/j.chb.2006.12.001

S. Liaw, Investigating students??? perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system, Computers & Education, vol.51, issue.2, pp.864-873, 2008.
DOI : 10.1016/j.compedu.2007.09.005

M. Limayem and C. M. Cheung, Understanding information systems continuance: The case of Internet-based learning technologies, Information & Management, vol.45, issue.4, pp.227-232, 2008.
DOI : 10.1016/j.im.2008.02.005

M. Limayem, S. G. Hirt, and C. M. Cheung, How habit limits the predictive power of intention: The case of information systems continuance, MIS Quarterly, issue.4, pp.31-705, 2007.

Q. Ma and L. Liu, The Technology Acceptance Model, Journal of Organizational and End User Computing, vol.16, issue.1, pp.59-72, 2004.
DOI : 10.4018/joeuc.2004010104

T. J. Mcgill and J. E. Klobas, A task???technology fit view of learning management system impact, Computers & Education, vol.52, issue.2, pp.496-508, 2009.
DOI : 10.1016/j.compedu.2008.10.002

A. I. Melden, Free Action, 1961.

M. Mäntymäki and A. K. Islam, Social virtual world continuance among teens: uncovering the moderating role of perceived aggregate network exposure, Behaviour & Information Technology, vol.15, issue.7, pp.536-547, 2014.
DOI : 10.2753/MIS0742-1222290108

J. Ogden, Some problems with social cognition models: A pragmatic and conceptual analysis., Health Psychology, vol.22, issue.4, pp.424-428, 2003.
DOI : 10.1037/0278-6133.22.4.424

R. L. Oliver, A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions, Journal of Marketing Research, vol.17, issue.4, pp.460-469, 1980.
DOI : 10.2307/3150499

P. Rawstorne, R. Jayasuriya, and P. Caputi, Issues in predicting and explaining usage behaviors with the technology acceptance model and the theory of planned behavior: When Usage is Mandatory, Proceedings of the 21st International Conference on Information Systems, 2000.

S. Rodgers and Q. M. Chen, Post-Adoption Attitudes To Advertising On The Internet, Journal of Advertising Research, vol.42, issue.5, pp.95-104, 2002.
DOI : 10.2501/JAR-42-5-95-104

A. Rosenberg, Philosophy of social science, 1995.

D. Y. Shee and W. S. Wang, Multi-criteria evaluation of the web-based e-learning system: A methodology based on learner satisfaction and its applications, Computers & Education, vol.50, issue.3, pp.50-894, 2008.
DOI : 10.1016/j.compedu.2006.09.005

L. Silva, Post-positivist review of technology acceptance model, Journal of the Association for Information Systems, vol.8, issue.4, pp.255-266, 2007.

D. Straub, M. Limayem, and E. Karahanna, Measuring System Usage: Implications for IS Theory Testing, Management Science, vol.41, issue.8, pp.41-1328, 1995.
DOI : 10.1287/mnsc.41.8.1328

B. Sumak, M. Hericko, and M. Pusnik, A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types, Computers in Human Behavior, issue.6, pp.27-2067, 2011.

S. W. Sussman and W. S. Siegal, Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption, Information Systems Research, vol.14, issue.1, pp.47-65, 2003.
DOI : 10.1287/isre.14.1.47.14767

B. Szajna, Empirical Evaluation of the Revised Technology Acceptance Model, Management Science, vol.42, issue.1, pp.85-92, 1996.
DOI : 10.1287/mnsc.42.1.85

T. Teo and P. Schaik, Understanding the Intention to Use Technology by Preservice Teachers: An Empirical Test of Competing Theoretical Models, International Journal of Human-Computer Interaction, vol.27, issue.3, pp.178-188, 2012.
DOI : 10.1080/10494820802231327

V. Venkatesh, F. D. Davis, and M. G. Morris, Dead or alive? The development, trajectory and future of technology adoption research, Journal of the Association of Information Systems, vol.8, issue.4, pp.267-286, 2007.

V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, User acceptance of information technology: toward a unified view, MIS Quarterly, vol.27, issue.3, pp.425-478, 2003.