Anderson, J. E., Schwager, P. H., & Kerns, R. L. (2006). The drivers
for acceptance of tablet PCs by faculty in a college of business.
Journal of Information Systems Education, 17(4), 429–440.
Bandyopadhyay, K., & Fraccastoro, K. A. (2007). The effect of culture
on user acceptance of information technology. Communications of
AIS, 19, 522–543.
Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The
unified theory of acceptance and use of technology combined with
cultural moderators. Computers in Human Behavior, 50, 418–430.
https://doi.org/10.1016/j.chb.2015.04.024.
Boateng, R., Mbrokoh, A. S., Boateng, L., & Ansong, P. K. S. E. A.
(2016). Determinants of e-learning adoption among students of
developing countries. International Journal of Information and
Learning Technology, 33(4), 248–262. https://doi.org/10.1108/
IJILT-02-2016-0008.
Burton-Jones, A., & Hubona, G. S. (2006). The mediation of external
variables in the technology acceptance model. Information &
Management, 43(6), 706–717. https://doi.org/10.1016/j.im.2006.03.
007.
Carlsson, C., Carlsson, J., Hyvönen, K., Puhakainen, J., & Walden,
P. (2006). Adoption of mobile devices/services—searching for
answers with the UTAUT. 39th Hawaii International Conference
on System Sciences, Hawaii, 00(C), 1–10.
Carter, L., & Belanger, F. (2004). Citizen adoption of electronic
government initiatives. 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of The, 00(C),
10 pp. https://doi.org/10.1109/HICSS.2004.1265306.
Eckhardt, A., Laumer, S., & Weitzel, T. (2009). Who influences
whom? Analyzing workplace referents’ social influence on IT
adoption and non-adoption. Journal of Information Technology, 24
(1), 11–24.
Faruq, M. A., & Ahmad, H. B. (2013). The moderating effect of
technology awareness on the relationship between UTAUT constructs and behavioural intention to use technology: A conceptual
paper. Australian Journal of Business and Management Research, 3
(2), 14–23. https://doi.org/10.1016/j.im.2013.09.002.
Gawande, V. (2015). Development of blended learning model based on
the perceptions of students at higher education institutes in Oman.
International Journal of Computer Applications, 114(1), 38–45.
http://www.ijcaonline.org/archives/volume114/number1/199461747.
George, J. F. (2004). The theory of planned behavior and Internet
purchasing. Internet Research, 14(3), 198–212. https://doi.org/10.
1108/10662240410542634.
Gibson, S., Harris, M., & Colaric, S. (2008). Technology acceptance in
an academic context: Faculty acceptance of online education.
Journal of Education for Business, 83(6), 355–359.
Hall, G. E., & Hord, S. M. (2011). Implementing change: Patterns,
principles, and potholes. (3rd ed.,). Pearson Education.
Hofstede, G. (1980). Culture’s consequences: International differences
in work-related values. Sage Publications.
Hofstede, G. J. (2010). Cultures and Organizations- software of the
mind: Intercultural Cooperation and Its Importance for Survival
(Revised an). McGraw Hill.
Hofstede, G. (2011). Dimensionalizing cultures: The hofstede model in
context. Online Readings in Psychology and Culture, 2(1), 1–26.
https://doi.org/http://dx.doi.org/10.9707/2307-0919.1014.
Hsbollah, M. H., & Idris, K. M. (2009). E-learning adoption: the role of
relative advantages, trialability and academic specialisation.
Campus-Wide Information Systems, 26(1), 54–70. https://doi.org/
10.1108/10650740910921564.
Im, I., Kim, Y., & Han, H. J. (2008). The effects of perceived risk and
technology type on users’ acceptance of technologies. Information
& Management, 45, 1–9.
Im, Il Hong, & Seongtae Kang, M. S. (2011). An international
comparison of technology adoption Testing the UTAUT model.
Information & Management, 48(1), 1–8. https://doi.org/10.1016/j.
im.2010.09.001.
Kang, M., Liew, B. T., Lim, H., Jang, J., & Lee, S. (2015).
Investigating the determinants of mobile learning acceptance in
Korea Using UTAUT2. In Emerging issues in smart learning
(pp. 209–216). https://doi.org/10.1007/978-3-662-44188-6.
Kim, S. S., & Malhotra, N. K. (2005). A Longitudinal model of
continued is use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741–
755. https://doi.org/10.1287/mnsc.1040.0326.
Kripanont, N. (2007). Using technology acceptance model of Internet
usage by academics within Thai business schools [Victoria
University]. http://wallaby.vu.edu.au/adt-VVUT/public/adtVUT200
70911.152902/index.html.
Lakhal, S., Khechine, H., & Pascot, D. (2013). Student behavioural
intentions to use desktop video conferencing in a distance course:
Integration of autonomy to the UTAUT model. Journal of
Computing in Higher Education, 25(2), 93–121. https://doi.org/
10.1007/s12528-013-9069-3.
Martins, C., Oliveira, T. & Popovič, A. (2014). Understanding the
internet banking adoption: A unified theory of acceptance and use
of technology and perceived risk application. International Journal
of Information Management, 34(1), 1–13.
Nistor, N., Lerche, T., Weinberger, A., Ceobanu, C., & Heymann, O.
(2014). Towards the integration of culture into the Unified Theory
of Acceptance and Use of Technology. British Journal of Educational Technology, 45(1), 36–55. https://doi.org/10.1111/j.14678535.2012.01383.x.
Oshlyansky, L., Park, S., Cairns, P., & Thimbleby, H. (2007).
Validating the unified theory of acceptance and use of technology
(UTAUT) tool cross-culturally. Proceedings of the 21st British HCI
Group Annual Conference on People and Computers, 2
(September).
Porter, W. W., & Graham, C. R. (2016). Institutional drivers and
barriers to faculty adoption of blended learning in higher education.
British Journal of Educational Technology, 47(4), 748–762. https://
doi.org/10.1111/bjet.12269.
Raman, A., & Don, Y. (2013). Preservice teachers’ acceptance of
learning management software: An application of the UTAUT2
model. International Education Studies, 6(7). https://doi.org/10.
5539/ies.v6n7p157.
Rehman, M., Esichaikul, V., & Kamal, M. (2012). Factors influencing
e-government adoption in Pakistan. Transforming Government:
People, Process and Policy, 6(3), 258–282. https://doi.org/10.1108/
17506161211251263.
San Martin, H., & Herrero, A. (2012). Influence of the user’s
psychological factors on the online purchase intention in rural
tourism: Integrating innovativeness to the UTAUT framework.
Tourism Management, 33(2), 341–350.
Schaper, L. K., & Pervan, G. P. (2007). ICT and OTs: A model of
information and communication technology acceptance and utilisation by occupational therapists. International Journal of Medical
Informatics, 76, S212–S221.
Shannak, R. O. (2013). The difficulties and possibilities of
E-Government: The case of Jordan. Journal of Management
Research, 5(2), 189–204. https://doi.org/10.5296/jmr.v5i2.2560.
Sun, H., & Fang, Y. (2016). Choosing a fit technology: understanding
mindfulness in technology adoption and continuance. Journal of the
Association for Information Systems, 17(6), 377.
Sun, H., & Zhang, P. (2006). The role of moderating factors in user
technology acceptance. International Journal of Human Computer
Studies, 64(2), 53–78. https://doi.org/10.1016/j.ijhcs.2005.04.013.
References
81
for acceptance of tablet PCs by faculty in a college of business.
Journal of Information Systems Education, 17(4), 429–440.
Bandyopadhyay, K., & Fraccastoro, K. A. (2007). The effect of culture
on user acceptance of information technology. Communications of
AIS, 19, 522–543.
Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The
unified theory of acceptance and use of technology combined with
cultural moderators. Computers in Human Behavior, 50, 418–430.
https://doi.org/10.1016/j.chb.2015.04.024.
Boateng, R., Mbrokoh, A. S., Boateng, L., & Ansong, P. K. S. E. A.
(2016). Determinants of e-learning adoption among students of
developing countries. International Journal of Information and
Learning Technology, 33(4), 248–262. https://doi.org/10.1108/
IJILT-02-2016-0008.
Burton-Jones, A., & Hubona, G. S. (2006). The mediation of external
variables in the technology acceptance model. Information &
Management, 43(6), 706–717. https://doi.org/10.1016/j.im.2006.03.
007.
Carlsson, C., Carlsson, J., Hyvönen, K., Puhakainen, J., & Walden,
P. (2006). Adoption of mobile devices/services—searching for
answers with the UTAUT. 39th Hawaii International Conference
on System Sciences, Hawaii, 00(C), 1–10.
Carter, L., & Belanger, F. (2004). Citizen adoption of electronic
government initiatives. 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of The, 00(C),
10 pp. https://doi.org/10.1109/HICSS.2004.1265306.
Eckhardt, A., Laumer, S., & Weitzel, T. (2009). Who influences
whom? Analyzing workplace referents’ social influence on IT
adoption and non-adoption. Journal of Information Technology, 24
(1), 11–24.
Faruq, M. A., & Ahmad, H. B. (2013). The moderating effect of
technology awareness on the relationship between UTAUT constructs and behavioural intention to use technology: A conceptual
paper. Australian Journal of Business and Management Research, 3
(2), 14–23. https://doi.org/10.1016/j.im.2013.09.002.
Gawande, V. (2015). Development of blended learning model based on
the perceptions of students at higher education institutes in Oman.
International Journal of Computer Applications, 114(1), 38–45.
http://www.ijcaonline.org/archives/volume114/number1/199461747.
George, J. F. (2004). The theory of planned behavior and Internet
purchasing. Internet Research, 14(3), 198–212. https://doi.org/10.
1108/10662240410542634.
Gibson, S., Harris, M., & Colaric, S. (2008). Technology acceptance in
an academic context: Faculty acceptance of online education.
Journal of Education for Business, 83(6), 355–359.
Hall, G. E., & Hord, S. M. (2011). Implementing change: Patterns,
principles, and potholes. (3rd ed.,). Pearson Education.
Hofstede, G. (1980). Culture’s consequences: International differences
in work-related values. Sage Publications.
Hofstede, G. J. (2010). Cultures and Organizations- software of the
mind: Intercultural Cooperation and Its Importance for Survival
(Revised an). McGraw Hill.
Hofstede, G. (2011). Dimensionalizing cultures: The hofstede model in
context. Online Readings in Psychology and Culture, 2(1), 1–26.
https://doi.org/http://dx.doi.org/10.9707/2307-0919.1014.
Hsbollah, M. H., & Idris, K. M. (2009). E-learning adoption: the role of
relative advantages, trialability and academic specialisation.
Campus-Wide Information Systems, 26(1), 54–70. https://doi.org/
10.1108/10650740910921564.
Im, I., Kim, Y., & Han, H. J. (2008). The effects of perceived risk and
technology type on users’ acceptance of technologies. Information
& Management, 45, 1–9.
Im, Il Hong, & Seongtae Kang, M. S. (2011). An international
comparison of technology adoption Testing the UTAUT model.
Information & Management, 48(1), 1–8. https://doi.org/10.1016/j.
im.2010.09.001.
Kang, M., Liew, B. T., Lim, H., Jang, J., & Lee, S. (2015).
Investigating the determinants of mobile learning acceptance in
Korea Using UTAUT2. In Emerging issues in smart learning
(pp. 209–216). https://doi.org/10.1007/978-3-662-44188-6.
Kim, S. S., & Malhotra, N. K. (2005). A Longitudinal model of
continued is use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741–
755. https://doi.org/10.1287/mnsc.1040.0326.
Kripanont, N. (2007). Using technology acceptance model of Internet
usage by academics within Thai business schools [Victoria
University]. http://wallaby.vu.edu.au/adt-VVUT/public/adtVUT200
70911.152902/index.html.
Lakhal, S., Khechine, H., & Pascot, D. (2013). Student behavioural
intentions to use desktop video conferencing in a distance course:
Integration of autonomy to the UTAUT model. Journal of
Computing in Higher Education, 25(2), 93–121. https://doi.org/
10.1007/s12528-013-9069-3.
Martins, C., Oliveira, T. & Popovič, A. (2014). Understanding the
internet banking adoption: A unified theory of acceptance and use
of technology and perceived risk application. International Journal
of Information Management, 34(1), 1–13.
Nistor, N., Lerche, T., Weinberger, A., Ceobanu, C., & Heymann, O.
(2014). Towards the integration of culture into the Unified Theory
of Acceptance and Use of Technology. British Journal of Educational Technology, 45(1), 36–55. https://doi.org/10.1111/j.14678535.2012.01383.x.
Oshlyansky, L., Park, S., Cairns, P., & Thimbleby, H. (2007).
Validating the unified theory of acceptance and use of technology
(UTAUT) tool cross-culturally. Proceedings of the 21st British HCI
Group Annual Conference on People and Computers, 2
(September).
Porter, W. W., & Graham, C. R. (2016). Institutional drivers and
barriers to faculty adoption of blended learning in higher education.
British Journal of Educational Technology, 47(4), 748–762. https://
doi.org/10.1111/bjet.12269.
Raman, A., & Don, Y. (2013). Preservice teachers’ acceptance of
learning management software: An application of the UTAUT2
model. International Education Studies, 6(7). https://doi.org/10.
5539/ies.v6n7p157.
Rehman, M., Esichaikul, V., & Kamal, M. (2012). Factors influencing
e-government adoption in Pakistan. Transforming Government:
People, Process and Policy, 6(3), 258–282. https://doi.org/10.1108/
17506161211251263.
San Martin, H., & Herrero, A. (2012). Influence of the user’s
psychological factors on the online purchase intention in rural
tourism: Integrating innovativeness to the UTAUT framework.
Tourism Management, 33(2), 341–350.
Schaper, L. K., & Pervan, G. P. (2007). ICT and OTs: A model of
information and communication technology acceptance and utilisation by occupational therapists. International Journal of Medical
Informatics, 76, S212–S221.
Shannak, R. O. (2013). The difficulties and possibilities of
E-Government: The case of Jordan. Journal of Management
Research, 5(2), 189–204. https://doi.org/10.5296/jmr.v5i2.2560.
Sun, H., & Fang, Y. (2016). Choosing a fit technology: understanding
mindfulness in technology adoption and continuance. Journal of the
Association for Information Systems, 17(6), 377.
Sun, H., & Zhang, P. (2006). The role of moderating factors in user
technology acceptance. International Journal of Human Computer
Studies, 64(2), 53–78. https://doi.org/10.1016/j.ijhcs.2005.04.013.
References
81