Chiu, C. Y., Leung, A. K. Y., & Hong, Y. Y. (2010). Cultural
processes: An overview. Cambridge University Press.
Chiu, C. M., & Wang, E. T. (2008). Understanding web-based learning
continuance intention: The role of subjective task value. Information & Management, 45(3), 194–201.
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy:
Development of a measure and intitial test. MIS Quarterly, 19, 189–
211.
Curtis, L., Edwards, C., Fraser, K. L., Gudelsky, S., Holmquist, J.,
Thornton, K., & Sweetser, K. D. (2010). Adoption of social media
for public relations by nonprofit organizations. Public Relations
Review, 36(1), 90–92.
Dadayan, L., & Ferro, E. (2005). When technology meets the mind: A
comparative study of the technology acceptance model. In International Conference on Electronic Government (pp. 137–144).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and
user acceptance of information technology. MIS Quarterly, 319–
340.
Davis, F. D., Bagozzi P. R., & Warshaw, P. R. (1989). User acceptance
of computer technology: a comparison of two theoretical models.
Management Science, 35(8), 982–1003.
Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential
measurement biases in the technology acceptance model: Three
experiments. International Journal of Human-Computer Studies,
45(1), 19–45. https://doi.org/10.1006/ijhc.1996.0040.
Dulle, F. W., & Minishi-Majanja, M. K. (2011). The suitability of the
unified theory of acceptance and use of technology (UTAUT) model
in open access adoption studies.Information Development, 27(1),
32–45. https://doi.org/10.1177/0266666910385375.
De Wit, K., Heerwegh, D., & Verhoeven, J. C. (2014). Can openness to
ICT and scientific research predict the ICT skills and ICT use of
bachelor’s students? Computers and Education, 78, 397–413.
https://doi.org/10.1016/j.compedu.2014.07.003.
Deci, E. L. (1975). Intrinsic motivation. Plenum Press.
Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the
control of behavior. Journal of Personality and Social Psychology,
53(6), 1024–1037.
Diep, N. A., Cocquyt, C., Zhu, C., & Vanwing, T. (2016). Predicting
adult learners’ online participation: Effects of altruism, performance
expectancy, and social capital. Computers and Education, 101, 84–
101. https://doi.org/10.1016/j.compedu.2016.06.002.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology
acceptance model with task-technology fit constructs. Information
and Management, 36(1), 9–21.
Dwivedi, Y. K., Rana, N. P., Chen, H., & Williams, M. D. (2011).
A Meta-analysis of the Unified Theory of Acceptance and Use of
Technology (UTAUT). 155–170.
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.
Ellis, E. R., & Allaire, A. J. (1999). Modeling computer interest in older
adults: the role of age, education, computer knowledge, and
computer anxiety. Human Factors, 41, 345–355.
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(02), 14–23. https://doi.org/10.1016/j.im.2013.09.002.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and
behavior: An introduction to theory and research. Don Mills,
Ontario: Addison-Wesley Publishing Company.
Gallivan, M., & Srite, M. (2005). Information technology and culture:
Identifying fragmentary and holistic perspectives of culture.
Information and Organization, 15(2), 295–338. https://doi.org/10.
1016/j.infoandorg.2005.02.005.
Ghobakhloo, M., Zulkifli, N. B., & Aziz, F. A. (2010). The interactive
model of user information technology acceptance and satisfaction in
small and medium-sized enterprises. European Journal of Economics, Finance and Administrative Sciences, 19.
Gholami, R., Ogun, A., Koh, E., & Lim, J. (2010). Factors affecting
e-payment adoption in Nigeria. Journal of Electronic Commerce in
Organizations (JECO), 8(4), 51–67.
Giannakos, M. N., & Vlamos, P. (2013). Educational webcasts’
acceptance: Empirical examination and the role of experience.
British Journal of Educational Technology, 44(1), 125–143. https://
doi.org/10.1111/j.1467-8535.2011.01279.x.
Gilbert, D., Balestrini, P., & Littleboy, D. (2004). Barriers and benefits
in the adoption of e-government. International Journal of Public
Sector Management, 17(4), 286–301. https://doi.org/10.1108/
09513550410539794.
Godin, G., & Kok, G. (1996). The theory of planned behaviour: A
review of its applications to health-related behaviours. American
Journal of Health Promotion, 11(2), 87–98.
Gupta, B., Dasgupta, S., & Gupta, A. (2008). Adoption of ICT in a
government organization in a developing country: An empirical
study. The Journal of Strategic Information Systems, 17(2), 140–
154. https://doi.org/10.1016/j.jsis.2007.12.004.
Hadji, B., & Degoulet, P. (2016). Information system end-user
satisfaction and continuance intention: A unified modeling
approach. Journal of Biomedical Informatics, 61, 185–193.
https://doi.org/10.1016/j.jbi.2016.03.021.
Hall, G. E., & Hord, S. M. (2011). Implementing change: Patterns,
principles, and potholes (3rd ed.). Pearson Education.
Hall, D., & Mansfield, R. (1975). Relationships of age and seniority
with career variables of engineers and scientists. Journal of Applied
Psychology, 60(3), 201–210.
Handy, J. H., Whiddett, R., & Hunter, I. (2001). A technology
acceptance model for inter-organisational electronic medical records
systems. AJIS, 9(1).
He, D., & Lu, Y. (2007). Consumers perceptions and acceptances
towards mobile advertising: An empirical study in China. In
International Conference on Wireless Communications, Networking
and Mobile Computing (pp. 3775–3778).
Hew, T., Latifah, S., & Abdul, S. (2016). Computers and education
understanding cloud-based VLE from the SDT and CET perspectives: Development and validation of a measurement instrument.
Computers and Education, 101, 132–149. https://doi.org/10.1016/j.
compedu.2016.06.004.
Hofstede, G. (1980). Culture’s consequences: International differences
in work-related values. Sage Publications.
Hsu, H. (2012). The acceptance of moodle : An empirical study based
on UTAUT. 3(December), 44–46. https://doi.org/10.4236/ce.2012.
38b010.
Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999).
Examining the technology acceptance model using physician
acceptance of telemedicine technology. Journal of Management
Information Systems, 91–112.
Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A motivational
model of microcomputer usage. Journal of Management Information Systems, 13(1), 127–143.
Im, Il., Hong, S., & 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.
Islam, A. K. M. N. (2011). Understanding the continued usage
intention of educators toward an e-learning system. International
Journal of E-Adoption, 3(2), 54–69. https://doi.org/10.4018/jea.
2011040106.
References
45
processes: An overview. Cambridge University Press.
Chiu, C. M., & Wang, E. T. (2008). Understanding web-based learning
continuance intention: The role of subjective task value. Information & Management, 45(3), 194–201.
Compeau, D. R., & Higgins, C. A. (1995). Computer self-efficacy:
Development of a measure and intitial test. MIS Quarterly, 19, 189–
211.
Curtis, L., Edwards, C., Fraser, K. L., Gudelsky, S., Holmquist, J.,
Thornton, K., & Sweetser, K. D. (2010). Adoption of social media
for public relations by nonprofit organizations. Public Relations
Review, 36(1), 90–92.
Dadayan, L., & Ferro, E. (2005). When technology meets the mind: A
comparative study of the technology acceptance model. In International Conference on Electronic Government (pp. 137–144).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and
user acceptance of information technology. MIS Quarterly, 319–
340.
Davis, F. D., Bagozzi P. R., & Warshaw, P. R. (1989). User acceptance
of computer technology: a comparison of two theoretical models.
Management Science, 35(8), 982–1003.
Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential
measurement biases in the technology acceptance model: Three
experiments. International Journal of Human-Computer Studies,
45(1), 19–45. https://doi.org/10.1006/ijhc.1996.0040.
Dulle, F. W., & Minishi-Majanja, M. K. (2011). The suitability of the
unified theory of acceptance and use of technology (UTAUT) model
in open access adoption studies.Information Development, 27(1),
32–45. https://doi.org/10.1177/0266666910385375.
De Wit, K., Heerwegh, D., & Verhoeven, J. C. (2014). Can openness to
ICT and scientific research predict the ICT skills and ICT use of
bachelor’s students? Computers and Education, 78, 397–413.
https://doi.org/10.1016/j.compedu.2014.07.003.
Deci, E. L. (1975). Intrinsic motivation. Plenum Press.
Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the
control of behavior. Journal of Personality and Social Psychology,
53(6), 1024–1037.
Diep, N. A., Cocquyt, C., Zhu, C., & Vanwing, T. (2016). Predicting
adult learners’ online participation: Effects of altruism, performance
expectancy, and social capital. Computers and Education, 101, 84–
101. https://doi.org/10.1016/j.compedu.2016.06.002.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology
acceptance model with task-technology fit constructs. Information
and Management, 36(1), 9–21.
Dwivedi, Y. K., Rana, N. P., Chen, H., & Williams, M. D. (2011).
A Meta-analysis of the Unified Theory of Acceptance and Use of
Technology (UTAUT). 155–170.
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.
Ellis, E. R., & Allaire, A. J. (1999). Modeling computer interest in older
adults: the role of age, education, computer knowledge, and
computer anxiety. Human Factors, 41, 345–355.
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(02), 14–23. https://doi.org/10.1016/j.im.2013.09.002.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and
behavior: An introduction to theory and research. Don Mills,
Ontario: Addison-Wesley Publishing Company.
Gallivan, M., & Srite, M. (2005). Information technology and culture:
Identifying fragmentary and holistic perspectives of culture.
Information and Organization, 15(2), 295–338. https://doi.org/10.
1016/j.infoandorg.2005.02.005.
Ghobakhloo, M., Zulkifli, N. B., & Aziz, F. A. (2010). The interactive
model of user information technology acceptance and satisfaction in
small and medium-sized enterprises. European Journal of Economics, Finance and Administrative Sciences, 19.
Gholami, R., Ogun, A., Koh, E., & Lim, J. (2010). Factors affecting
e-payment adoption in Nigeria. Journal of Electronic Commerce in
Organizations (JECO), 8(4), 51–67.
Giannakos, M. N., & Vlamos, P. (2013). Educational webcasts’
acceptance: Empirical examination and the role of experience.
British Journal of Educational Technology, 44(1), 125–143. https://
doi.org/10.1111/j.1467-8535.2011.01279.x.
Gilbert, D., Balestrini, P., & Littleboy, D. (2004). Barriers and benefits
in the adoption of e-government. International Journal of Public
Sector Management, 17(4), 286–301. https://doi.org/10.1108/
09513550410539794.
Godin, G., & Kok, G. (1996). The theory of planned behaviour: A
review of its applications to health-related behaviours. American
Journal of Health Promotion, 11(2), 87–98.
Gupta, B., Dasgupta, S., & Gupta, A. (2008). Adoption of ICT in a
government organization in a developing country: An empirical
study. The Journal of Strategic Information Systems, 17(2), 140–
154. https://doi.org/10.1016/j.jsis.2007.12.004.
Hadji, B., & Degoulet, P. (2016). Information system end-user
satisfaction and continuance intention: A unified modeling
approach. Journal of Biomedical Informatics, 61, 185–193.
https://doi.org/10.1016/j.jbi.2016.03.021.
Hall, G. E., & Hord, S. M. (2011). Implementing change: Patterns,
principles, and potholes (3rd ed.). Pearson Education.
Hall, D., & Mansfield, R. (1975). Relationships of age and seniority
with career variables of engineers and scientists. Journal of Applied
Psychology, 60(3), 201–210.
Handy, J. H., Whiddett, R., & Hunter, I. (2001). A technology
acceptance model for inter-organisational electronic medical records
systems. AJIS, 9(1).
He, D., & Lu, Y. (2007). Consumers perceptions and acceptances
towards mobile advertising: An empirical study in China. In
International Conference on Wireless Communications, Networking
and Mobile Computing (pp. 3775–3778).
Hew, T., Latifah, S., & Abdul, S. (2016). Computers and education
understanding cloud-based VLE from the SDT and CET perspectives: Development and validation of a measurement instrument.
Computers and Education, 101, 132–149. https://doi.org/10.1016/j.
compedu.2016.06.004.
Hofstede, G. (1980). Culture’s consequences: International differences
in work-related values. Sage Publications.
Hsu, H. (2012). The acceptance of moodle : An empirical study based
on UTAUT. 3(December), 44–46. https://doi.org/10.4236/ce.2012.
38b010.
Hu, P. J., Chau, P. Y., Sheng, O. R. L., & Tam, K. Y. (1999).
Examining the technology acceptance model using physician
acceptance of telemedicine technology. Journal of Management
Information Systems, 91–112.
Igbaria, M., Parasuraman, S., & Baroudi, J. J. (1996). A motivational
model of microcomputer usage. Journal of Management Information Systems, 13(1), 127–143.
Im, Il., Hong, S., & 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.
Islam, A. K. M. N. (2011). Understanding the continued usage
intention of educators toward an e-learning system. International
Journal of E-Adoption, 3(2), 54–69. https://doi.org/10.4018/jea.
2011040106.
References
45