Sung, H., Jeong, D., Jeong, Y., & Shin, J. (2015). The effects of
self-efficacy and social influence on behavioral intention in mobile
learning service. Education, 103, 27–30.
Taylor, S., & Todd, P. (1995). Understanding information technology
usage: A test of competing models. Information Systems Research,
6(4), 144–176.
Tibenderana, P. K., & Ogao, P. (2009). Information technologies
acceptance and use among universities in Uganda: A model for
hybrid library services end-users. International Journal of Computing and ICT Research, 1(1), 60–75. http://www.ijcir.org/.
Tosunta, B., Karada, E., & Orhan, S. (2015). The factors affecting
acceptance and use of interactive whiteboard within the scope of
FATIH project: A structural equation model based on the Unified
Theory of acceptance and use of technology. Computers &
Education, 81, 169–178. https://doi.org/10.1016/j.compedu.2014.
10.009.
Van Everdingen, Y. M., & Waarts, E. (2003). The effect of national
culture on the adoption of in- novations. Marketing Letters, 14(3),
217–232. https://doi.org/10.1023/A:1027452919403.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the
technology acceptance model: Four longitudinal field studies.
Management Science, 46(2), 186–204.
Venkatesh, V, Thong, J., & Xu, X. (2012). Consumer acceptance and
user of information technology: Extending the unified theory of
acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Retrieved from http://ezproxy.library.capella.edu/login?url=. http://
search.ebscohost.com/login.aspx?direct=true&db=iih&AN=711549
41&site=ehost-live&scope=site.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003).
User Acceptance of Information Technology: Toward A Unified
View. 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of
acceptance and use of technology: A synthesis and the road ahead.
Journal of Association for Information Systems, 17(5), 328–376.
Vinodh, K., & Mathew, S. K. (2012). Web personalization in
technology acceptance. In Intelligent Human Computer Interaction
(IHCI). Th Int. Conf. Intell. Hum. Comput. Interact IEEE, 1–6.
Wang, H. Y, & Wang, S. W. (2010). User acceptance of mobile internet
based on the unified theory of … Social Behavior and Personality,
415–426.
Wong, K.-T., Teo, T., & Russo, S. (2012). Interactive whiteboard
acceptance: Applicability of the UTAUT model to student teachers.
The Asia-Pacific Education Researcher, 22(1), 1–10. https://doi.
org/10.1007/s40299-012-0001-9.
Wu, H., Hsu, Y., & Hwang, F. (2007). Factors affecting teachers
adoption of technology. September 2006, 63–85.
Yang, S. (2013). Understanding undergraduate students’ Adoption of
mobile learning model: A perspective of the extended UTAUT2.
Journal of Convergence Information Technology, 8(10), 969.
Yoon, C. (2009). The effects of national culture values on consumer
acceptance of e-commerce: Online shoppers in China. Information
& Management, 46(5), 294–301. https://doi.org/10.1016/j.im.2009.
06.001.
Yun, H., Han, D., & Lee, C. C. (2013). Understanding the use of
location-based service applications: Do privacy concerns matter?
Journal of Electronic Commerce Research, 14(3), 215–231.
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to
explain mobile banking user adoption. Computers in Human
Behavior, 26(4), 760–767. https://doi.org/http://dx.doi.org/10.
1016/j.chb.2010.01.013.
82
8 Adoption of LMS: Evidence from the Middle East
self-efficacy and social influence on behavioral intention in mobile
learning service. Education, 103, 27–30.
Taylor, S., & Todd, P. (1995). Understanding information technology
usage: A test of competing models. Information Systems Research,
6(4), 144–176.
Tibenderana, P. K., & Ogao, P. (2009). Information technologies
acceptance and use among universities in Uganda: A model for
hybrid library services end-users. International Journal of Computing and ICT Research, 1(1), 60–75. http://www.ijcir.org/.
Tosunta, B., Karada, E., & Orhan, S. (2015). The factors affecting
acceptance and use of interactive whiteboard within the scope of
FATIH project: A structural equation model based on the Unified
Theory of acceptance and use of technology. Computers &
Education, 81, 169–178. https://doi.org/10.1016/j.compedu.2014.
10.009.
Van Everdingen, Y. M., & Waarts, E. (2003). The effect of national
culture on the adoption of in- novations. Marketing Letters, 14(3),
217–232. https://doi.org/10.1023/A:1027452919403.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the
technology acceptance model: Four longitudinal field studies.
Management Science, 46(2), 186–204.
Venkatesh, V, Thong, J., & Xu, X. (2012). Consumer acceptance and
user of information technology: Extending the unified theory of
acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Retrieved from http://ezproxy.library.capella.edu/login?url=. http://
search.ebscohost.com/login.aspx?direct=true&db=iih&AN=711549
41&site=ehost-live&scope=site.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003).
User Acceptance of Information Technology: Toward A Unified
View. 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of
acceptance and use of technology: A synthesis and the road ahead.
Journal of Association for Information Systems, 17(5), 328–376.
Vinodh, K., & Mathew, S. K. (2012). Web personalization in
technology acceptance. In Intelligent Human Computer Interaction
(IHCI). Th Int. Conf. Intell. Hum. Comput. Interact IEEE, 1–6.
Wang, H. Y, & Wang, S. W. (2010). User acceptance of mobile internet
based on the unified theory of … Social Behavior and Personality,
415–426.
Wong, K.-T., Teo, T., & Russo, S. (2012). Interactive whiteboard
acceptance: Applicability of the UTAUT model to student teachers.
The Asia-Pacific Education Researcher, 22(1), 1–10. https://doi.
org/10.1007/s40299-012-0001-9.
Wu, H., Hsu, Y., & Hwang, F. (2007). Factors affecting teachers
adoption of technology. September 2006, 63–85.
Yang, S. (2013). Understanding undergraduate students’ Adoption of
mobile learning model: A perspective of the extended UTAUT2.
Journal of Convergence Information Technology, 8(10), 969.
Yoon, C. (2009). The effects of national culture values on consumer
acceptance of e-commerce: Online shoppers in China. Information
& Management, 46(5), 294–301. https://doi.org/10.1016/j.im.2009.
06.001.
Yun, H., Han, D., & Lee, C. C. (2013). Understanding the use of
location-based service applications: Do privacy concerns matter?
Journal of Electronic Commerce Research, 14(3), 215–231.
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to
explain mobile banking user adoption. Computers in Human
Behavior, 26(4), 760–767. https://doi.org/http://dx.doi.org/10.
1016/j.chb.2010.01.013.
82
8 Adoption of LMS: Evidence from the Middle East