perspectives: Development and validation of a measurement
instrument. Computers & Education, 101, 132–149. https://doi.
org/10.1016/j.compedu.2016.06.004.
Hofstede, G. (1980). Culture and organizations. International Studies of
Management & Organization, 10(4), 15–41.
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of
technology adoption. Information & Management, 48(1), 1–8.
https://doi.org/10.1016/j.im.2010.09.001.
Jafari, A., McGee, P., & Carmean, C. (2006). Managing courses
defining learning: What faculty, students, and administrators want.
Educause Review, 4(4), 50–51.
Khan, R. A., & Adams, C. (2016). Adoption of learning management
systems in Saudi higher education context : Study at King Fahd
University of Petroleum and Minerals & Dammam Community
College. In Society for Information Technology & Teacher Education International Conference (Vol. 2016. No. 1, pp. 2909–2916).
Barbera 2004.
Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits
the predictive power of intention: The case of information systems
continuance. MIS Quarterly, 31(4), 705–737.
Lin, H.-C. (2014). An investigation of the effects of cultural differences
on physicians’ perceptions of information technology acceptance as
they relate to knowledge management systems. Computers in
Human Behavior, 38(April), 368–380. https://doi.org/10.1016/j.
chb.2014.05.001.
Lu, H.-K., & Lin, P.-C. (2012). Toward an extended behavioral
intention model for e-learning: Using learning and teaching styles as
individual differences. In 2012 2nd International Conference on
Consumer Electronics, Communications and Networks (CECNet)
(pp. 3673–3676). https://doi.org/10.1109/CECNet.2012.6202261.
Mosa, A. A., Naz’ri bin Mahrin, M., & Ibrrahim, R. (2016).
Technological aspects of e-learning readiness in higher education:
A review of the literature. Computer and Information Science, 9(1),
113. https://doi.org/10.5539/cis.v9n1p113.
Mugo, D., Njagi, K., Chemwei, B., & Motanya, J. (2017). The
technology acceptance model (TAM) and its application to the
utilization of mobile learning technologies. British Journal of
Mathematics & Computer Science, 20(4), 1–8. https://doi.org/10.
9734/BJMCS/2017/29015.
Nagy, J. T. (2016). Using learning management systems in business
and economics studies in Hungarian higher education. Education
and Information Technologies, 21(4), 897–917. https://doi.org/10.
1007/s10639-014-9360-6.
Oblinger, D., & Oblinger, J. (2005). Is it age or IT: First steps toward
understanding the net generation. Educating the Net Generation,
Chapter 2(2), 2.1–2.20.
Rodrigues, G., Sarabdeen, J., & Balasubramanian, S. (2016). Factors
that influence consumer adoption of e-government services in the
UAE: A UTAUT model perspective. Journal of Internet Commerce,
15(1), 18–39. https://doi.org/10.1080/15332861.2015.1121460.
Sharma, S. A. T., Paul, A., Gillies, D., Conway, C., Nesbitt, S.,
Ripstein, I. R. A., Simon, I., & Mcconnell, K. (2011).
Learning/Curriculum Management Systems (LCMS): Emergence
of a New Wave in Medical Education. Learning, 11(13).
Siemens, G. (2015). Learning analytics: The emergence of a discipline.
American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/
10.1177/0002764213498851.
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.
Usluel, Y. K., Askar, P., & Bas, T. (2008). A structural equation model
for ICT usage in higher education. Educational Technology &
Society, 11(2), 262–273.
Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and
use of information technology: Extending the unified theory. MIS
Quarterly, 36(1), 157–178.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003).
User acceptance of information technology: Toward a unified view.
MIS Quarterly, 27(3), 425–478.
References
5
instrument. Computers & Education, 101, 132–149. https://doi.
org/10.1016/j.compedu.2016.06.004.
Hofstede, G. (1980). Culture and organizations. International Studies of
Management & Organization, 10(4), 15–41.
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of
technology adoption. Information & Management, 48(1), 1–8.
https://doi.org/10.1016/j.im.2010.09.001.
Jafari, A., McGee, P., & Carmean, C. (2006). Managing courses
defining learning: What faculty, students, and administrators want.
Educause Review, 4(4), 50–51.
Khan, R. A., & Adams, C. (2016). Adoption of learning management
systems in Saudi higher education context : Study at King Fahd
University of Petroleum and Minerals & Dammam Community
College. In Society for Information Technology & Teacher Education International Conference (Vol. 2016. No. 1, pp. 2909–2916).
Barbera 2004.
Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits
the predictive power of intention: The case of information systems
continuance. MIS Quarterly, 31(4), 705–737.
Lin, H.-C. (2014). An investigation of the effects of cultural differences
on physicians’ perceptions of information technology acceptance as
they relate to knowledge management systems. Computers in
Human Behavior, 38(April), 368–380. https://doi.org/10.1016/j.
chb.2014.05.001.
Lu, H.-K., & Lin, P.-C. (2012). Toward an extended behavioral
intention model for e-learning: Using learning and teaching styles as
individual differences. In 2012 2nd International Conference on
Consumer Electronics, Communications and Networks (CECNet)
(pp. 3673–3676). https://doi.org/10.1109/CECNet.2012.6202261.
Mosa, A. A., Naz’ri bin Mahrin, M., & Ibrrahim, R. (2016).
Technological aspects of e-learning readiness in higher education:
A review of the literature. Computer and Information Science, 9(1),
113. https://doi.org/10.5539/cis.v9n1p113.
Mugo, D., Njagi, K., Chemwei, B., & Motanya, J. (2017). The
technology acceptance model (TAM) and its application to the
utilization of mobile learning technologies. British Journal of
Mathematics & Computer Science, 20(4), 1–8. https://doi.org/10.
9734/BJMCS/2017/29015.
Nagy, J. T. (2016). Using learning management systems in business
and economics studies in Hungarian higher education. Education
and Information Technologies, 21(4), 897–917. https://doi.org/10.
1007/s10639-014-9360-6.
Oblinger, D., & Oblinger, J. (2005). Is it age or IT: First steps toward
understanding the net generation. Educating the Net Generation,
Chapter 2(2), 2.1–2.20.
Rodrigues, G., Sarabdeen, J., & Balasubramanian, S. (2016). Factors
that influence consumer adoption of e-government services in the
UAE: A UTAUT model perspective. Journal of Internet Commerce,
15(1), 18–39. https://doi.org/10.1080/15332861.2015.1121460.
Sharma, S. A. T., Paul, A., Gillies, D., Conway, C., Nesbitt, S.,
Ripstein, I. R. A., Simon, I., & Mcconnell, K. (2011).
Learning/Curriculum Management Systems (LCMS): Emergence
of a New Wave in Medical Education. Learning, 11(13).
Siemens, G. (2015). Learning analytics: The emergence of a discipline.
American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/
10.1177/0002764213498851.
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.
Usluel, Y. K., Askar, P., & Bas, T. (2008). A structural equation model
for ICT usage in higher education. Educational Technology &
Society, 11(2), 262–273.
Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and
use of information technology: Extending the unified theory. MIS
Quarterly, 36(1), 157–178.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003).
User acceptance of information technology: Toward a unified view.
MIS Quarterly, 27(3), 425–478.
References
5