1- Ahangari, E. (2014). Providing a model of Environmental Friendly technologies acceptance
among the West Azerbaijan province’s wheat farmers. Unpublished thesis, University of Tehran, Iran. (In Persian)
2- Charfeddine, L., & Nasri, W. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. Journal of High Technology Management Research, 23, 1-14.
3- Chen, C., Fan, Y., & Farn, C. (2007). Predicting electronic toll collection service adoption: An integration of the technology acceptance model and the theory of planned behavior. Emerging Technologies, 15(5), 300-311.
4- Cothran, T. (2011). Google scholar acceptance and use among graduate students: A quantitative study. Journal of Library and Information Science Research, 33(4), 293–301.
5- Dabholkar, P. A. (1996). Consumer evaluations of new technology-based self-service options: An investigation of alternative models of service quality. International Journal of Research in Marketing, 13 (1), 29-51.
6- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Journal, 13, 319- 339.
7- 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.
8- Dillon, A., & Morris, M. G. (1996). User acceptance of information technology: Theories and models. In M. E. Williams (Ed.), Annual Review of Information Science and Technology (ARIST): Vol. 31 (pp. 3-32).
9- Eccles, J. S. (1990). Predictors of math anxiety and its influence on young adolescents, course enrollment intention and performance in mathematics. Journal of Educational Psychology, 82, 60-70.
10- Elahi M. M. Cagampang, F. R. Mukhtar, D. Anthony F.W. Ohri, S. K & Hanson, M. A. (2009). Long-term maternal high-fat feeding from weaning through pregnancy and lactation predisposes offspring to hypertension, raised plasma lipids and fatty liver in mice. British. Journal of Nutrition, 10 (2), 514–519.
11- Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley
12- Gyampah, K. A., & Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & management, 41 (6), 731-745.
13- Haenlein, M., & Kaplan, A. (2004). A Beginner’s Guide to Partial Least Squares Analysis. Understanding Statistics, 3, 283-297.
14- Hair, J.F. Jr., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate Data Analysis, (5th Edition). Upper Saddle River, NJ: Prentice Hall.
15- Holden, R. J., & Karsh, B. T. (2010). The technology acceptance model: Its past and its future in health care. Journal of Biomedical Informatics, 43, 159–172.
16- Hu, P.J.H., Clark, T.H.A., & Ma, W.W. (2003). Examining technology acceptance by school teachers: a longitudinal study. Information and Management, 41, 227–241.
17- Kim, S.H. (2008). Moderating effects of job relevance and experience on mobile wireless technology acceptance: Adoption of a smartphone by individuals. Information and Management, 45, 387–393.
18- Kim, H.J., Mannino, M., & Nieschwietz, R.J. (2009). Information technology acceptance in the internal audit profession: Impact of technology features and complexity. International Journal of Accounting Information Systems, 10, 214–228.
19- Kulviwat, S., Bruner, C.G., & Al-Shuridah, O. (2009). The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption. Journal of Business Research, 62, 706–712.
20- Kuttschreuter, M., Horst, M., & Gutteling, J. M. (2007). Perceived usefulness, personal experiences, risk perception and trust as determinants of adoption of e-government services in The Netherlands. Computers in Human Behavior, 23, 1838–1852.
21- Lee, F.H., & Wu, W.Y. (2011). Moderating effects of technology acceptance perspectives on eservice quality formation: Evidence from airline websites in Taiwan. Journal of Expert Systems with Applications, 38, 7766–7773.
22- Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information and Management, 40(3), 191–204.
23- Lehto, M. R., & Lee, D. U. (2013). User acceptance of YouTube for procedural learning: An extension of the technology acceptance model. Computers and Education, 61, 193-208.
24- Lin, F., Fofana, S. S., & Liang, D. (2011). Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success. Government Information Journal, 28, 271-279.
25- Lucas Jr., H. C., & Spitler, V. (2000). Implementation in a world of workstation and networks. Information and Management, 38, 119- 128.
26- Majchrzak, A., Lim, R., & Chin, W. W. (2005). Managing Client Dialogues during Information Systems Design to Facilitate Client Learning. MIS Journal, 29(4), 653-672.
27- Melas, C. D., Zampetakis, L. A., Dimopoulou, A., & Moustakis, V. (2011). Modeling the acceptance of clinical information systems among hospital medical staff: An extended TAM model. Journal of Biomedical Informatics, 44, 553–564.
28- Morris, M.G., & Dillon, A. (1997). How user perceptions influence software use. IEEE Software, 14(4), 58-65.
29- Nasri, W., & Charfeddine, L. (2012) Factors Affecting the Adoption of Internet Banking in Tunisia: An Integration Theory of Acceptance Model and Theory of Planned Behavior. The Journal of High Technology Management Research, 23, 1-14.
30- Newsted, P. R., Chin, W. W., & Marcolin, B. L. (1996). A Partial Least Squares Latent Variable Modeling Aproach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and Voice Mail Emotion/Adoption Study. Proceedings of the seventeenth international conference on information systems, Cleveland, Ohio, December 16- 18, 1996.
31- Ozkan, S., & Kanat, I.E. (2011). E-Government adoption model based on theory of planned behavior: Empirical validation. Government Information Journal, 28, 503–513.
32- Yaghoobi, N.M., & Shakeri, R. (2010). Comparative analysis of the technology acceptance model.