| 1 |
I. J. Jang. (2011). Smart Education Strategy Implementation Plan, ministry of education(2011). DOI:http://www.keris.or.kr/upload/board05/131485411995 7_429894927.pdf
|
| 2 |
V. Venkatesh, J. Y. L. Thong & X. Xu. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead, Journal of the Association for Information Systems, 17(5), 328-376.
DOI
|
| 3 |
https://ko.wikipedia.org/wiki
|
| 4 |
T. Grossman, D. Pierre & R. Balakrishnan. (2007). Strategies for accelerating on-line learning of hotkeys. Proceedings of CHI 2007 - the ACM Conference on Human Factors in Computing Systems, 1591-1600.
|
| 5 |
P. C. Sun, R. J. Tasi, G. Finger, Y. Y. Chem & D. Yeh. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183-1202.
DOI
|
| 6 |
K. Hassanein, M. Head & F. Wang. (2010). Understanging Student Satisfaction in Mobile Learning environment: the Role of Internal and External Facilitators, In Mobile business and 2010 Ninth Global Mobility Roundtable, 289-296.
|
| 7 |
R. A. Westbrook. (1981). Source of Consumer Satisfaction with Retail Outlets, Journal of Retailing, 57(fall), 68-85.
|
| 8 |
X. Luo, A. Gurung & J. P. Shim. (2010). Understanging the determinants of user acceptance of enterprise instant messaging: an empirical study, Journal of Organizational Computing and Electronic commerce, 20(20), 155-181.
DOI
|
| 9 |
W. H. DeLone & E. R. Mclean. (2003). The DeLone and Mclean model of Information System Success: a ten year update, Journal of Management Information System, 19(4), 9-30.
DOI
|
| 10 |
M. Reid & Y. Levy. (2008). Integrating trust and computer self-efficacy with TAM: An empirical assessment of customers' acceptance of banking information system in Jamaica, Journal of Internet Banking and Commerce, 13(3), 1-18.
|
| 11 |
M. Alshehri & S. K. Sharma. (2017). Computational Model for the Generalised Dispersion of Synovial Fluid, (IJACSA) International Journal of Advanced Computer Science and Applications, 8(2), 134-138
|
| 12 |
R. Martins, T. Oliveria & M. A.Thomas. (2016), An empirical analysis to assess the determinants of SaaS diffusion in firms, Computers in Human Behavior, 62, 19-33.
DOI
|
| 13 |
G. Baptista & T. Oliveria. (2015), Understanging Mobile Banking: The unified theory of acceptance and use of technology combined with cultural moderators, Computers in Human Behavior, 50, 418-430.
DOI
|
| 14 |
M. Alshehri, S. Drew, T. Alhussain & R. Alghamdi. (2012). The impact of trust on e-government services acceptance: A study of users'' perceptions by applying UTAUT model. International Journal of Technology Diffusion, 3(2), 1-5.
DOI
|
| 15 |
S. R. Yee. (2015). A Study of Team satisfaction and associated Factors of engineering College Freshmen, Journal of Digital Convergence, 13( 2), 315-324.
DOI
|
| 16 |
A. J. Tomarken & N. G. Waller. (2003). Potential problems with "well fitting" models, Journal of Abnormal Psychology, 112(4), 578-598.
DOI
|
| 17 |
J. Leh. (2014). Social Learning - How Social is Your LMS?. DOI:http://talentedlearning.com/social-learning-social-lms/
|
| 18 |
V. Venkatesh, M. G. Morris, G. B. Davis & F. D. Davis. (2003). User Acceptance of Information Technology: Toward a Unified View, Management Information Systems Quarterly, 27(3), 425-478.
DOI
|
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