Ismail, A. (2016). The effective adoption of ICT-enabled services in
educational institutions–key issues and policy implications. Journal
of Research in Business, Economics and Management (JRBEM), 5
(5), 717–728.
Jayasingh, S., & Eze, U. (2010). The role of moderating factors in
mobile coupon adoption: An extended TAM perspective. Communications of the IBIMA.
Jen, W., Lu, T., & Liu, P. T. (2009). An integrated analysis of
technology acceptance behaviour models: Comparison of three
major models. MIS Review, 15(1), 89–121.
Jong, D., & Wang, T. S. (2009). Student acceptance of web-based
learning system. In The 2009 International Symposium on Web
Information Systems and Applications (WISA 2009) (p. 53).
Kassarjian, H. H., & Robertson, T. S. (1991). Perspectives in consumer
behaviour (4th ed.). New Jersey: Prentice Hall.
Keramati, A., Sharif, H. J., Azad, N., & Soofifard, R. (2012). Role of
subjective norms and perceived behavioral control of tax payers in
acceptance of E-Tax payment system. International Journal of
E-Adoption, 4(3), 1–14. https://doi.org/10.4018/jea.2012070101.
Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors
influencing health information technology adoption in Thailand’s
community health centers: Applying the UTAUT model. International Journal of Medical Informatics, 78(6), 404–416. https://doi.
org/10.1016/j.ijmedinf.2008.12.005.
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/adtVUT20070911.
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.
Laumer, S., Eckhardt, A., & Weitzel, T. (2010). Electronic human
resources management in an e-business environment. Journal of
Electronic Commerce Research, 11(4), 240.
Lee, J. (2004). Discriminant analysis of technology adoption behavior:
A case of internet technologies in small businesses. Journal of
Computer Information Systems, 44(4), 57–66.
Lee, F.-H., & Wu, W.-Y. (2011). Moderating effects of technology
acceptance perspectives on e-service quality formation: Evidence
from airline websites in Taiwan. Expert Systems with Applications,
38(6), 7766–7773.
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.
https://doi.org/10.1016/S0378-7206(01)00143-4.
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying
social cognitive theory of career and academic interest, choice, and
performance. Journal of Vocational Behaviour, 45, 79–122.
Lim. (2003). A conceptual framework on the adoption of negotiation
support systems. Information and Software Technology, 45, 469–
477.
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit
limits the predictive power of intention: The case of information
systems continuance. MIS Quarterly: Management Information
Systems, 31(4), 705–737. https://doi.org/10.2307/25148817.
Lin, C. P., & Anol, B. (2008). Learning online social support: An
investigation of network information technology based on UTAUT.
CyberPsychology & Behavior, 11(3).
Loo, W. H., Yeow, P. H., & Chong, S. C. (2009). User acceptance of
Malaysian government multipurpose smartcard applications.
Government Information Quarterly, 26(2), 358–367.
Luo, M. M., Chea, S., & Chen, J.-S. (2011). Web-based information
service adoption: A comparison of the motivational model and the
uses and gratifications theory. Decision Support Systems, 51(1), 21–
30. https://doi.org/10.1016/j.dss.2010.11.015.
Marques, B. P., Villate, J. E., & Carvalho, C. V. (2011). Applying the
UTAUT model in engineering higher education: Teacher’ s
technology adoption. In 6th Iberian conference on information
systems and technologies CISTI 2011 (pp. 1–6).
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.
Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the
technology acceptance model: The influence of perceived user
resources. Database for Advances in Information Systems, 32(3), 86.
Mohammadyari, S., & Singh, H. (2015). Computers and Education
Understanding the effect of e-learning on individual performance:
The role of digital literacy. Computers and Education, 82, 11–25.
https://doi.org/10.1016/j.compedu.2014.10.025.
Moore, G. C., & Benbasat, I. (1991). Develoment of an instrument to
measure the perceptions of adopting an information technology
innovation. Information Systems Research, 2(3).
Morris, M. G., & Venkatesh, V. (2000). Age differences in technology
adoption decisions: Implications for a changing work force.
Personnel Psychology, 53(2), 375–403. https://doi.org/10.1111/j.
1744-6570.2000.tb00206.x.
N Bourbon, I., & Hollet-Haudebert, S. (2009). Pourquoi contribuer a`
des bases de connaissances? Une exploration des facteurs explicatifs
a` la lumie`re du mode`le UTAUT. Syste`mes d’Information et
Management, 14(1), 9–36.
Negahban, A., & Chung, C. -H. (2014). Discovering determinants of
users perception of mobile device functionality fit. Computers in
Human Behavior, 35, 75–84. https://doi.org/10.1016/j.chb.2014.02.
020.
Nov, O., & Ye, C. (2009). Resistance to change and the adoption of
digital libraries: An integrative model. Journal of the American
Society for Information Science and Technology, 60(8), 1702–1708.
Novakovic, L., McGill, T., & Dixon, M. (2009). Understanding user
behavior towards passwords through acceptance and use modelling.
International Journal of Information Security and Privacy, 3(1),
11–29. https://doi.org/10.4018/jisp.2009010102.
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to
use mobile services: Anteced-ents and cross- service comparisons.
Journal of the Academy of Marketing Science, 33(3), 330–346.
https://doi.org/10.1177/0092070305276149.
Oliveira, T., & Martins, M. F. (2011). Literature review of information
technology adoption models at firm level. The Electronic Journal
Information Systems Evaluation (EJISE), 14(1), 110–121.
Oyelaran-Oyeyinka, B., & Adeya, C. N. (2003). Dynamics of adoption
and usage of ICTs in African universities: A study of Kenya and
Nigeria. Technovation, 24(10), 841–851.
Pajares, F., & Schunk, D. H. (2002). Self and self-belief in psychology
and education: A historical perspective. Improving academic
achievement. In Impact of psychological factors on education
(pp. 3–21). http://www.uky.edu/*eushe2/Pajares/efftalk.html.
Pearlson, K., & Sauders, C. (2003). No managing and using
information systems: A strategic approach. New York: Wiley.
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.
46
5 Technology Adoption Theories and Models
educational institutions–key issues and policy implications. Journal
of Research in Business, Economics and Management (JRBEM), 5
(5), 717–728.
Jayasingh, S., & Eze, U. (2010). The role of moderating factors in
mobile coupon adoption: An extended TAM perspective. Communications of the IBIMA.
Jen, W., Lu, T., & Liu, P. T. (2009). An integrated analysis of
technology acceptance behaviour models: Comparison of three
major models. MIS Review, 15(1), 89–121.
Jong, D., & Wang, T. S. (2009). Student acceptance of web-based
learning system. In The 2009 International Symposium on Web
Information Systems and Applications (WISA 2009) (p. 53).
Kassarjian, H. H., & Robertson, T. S. (1991). Perspectives in consumer
behaviour (4th ed.). New Jersey: Prentice Hall.
Keramati, A., Sharif, H. J., Azad, N., & Soofifard, R. (2012). Role of
subjective norms and perceived behavioral control of tax payers in
acceptance of E-Tax payment system. International Journal of
E-Adoption, 4(3), 1–14. https://doi.org/10.4018/jea.2012070101.
Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors
influencing health information technology adoption in Thailand’s
community health centers: Applying the UTAUT model. International Journal of Medical Informatics, 78(6), 404–416. https://doi.
org/10.1016/j.ijmedinf.2008.12.005.
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/adtVUT20070911.
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.
Laumer, S., Eckhardt, A., & Weitzel, T. (2010). Electronic human
resources management in an e-business environment. Journal of
Electronic Commerce Research, 11(4), 240.
Lee, J. (2004). Discriminant analysis of technology adoption behavior:
A case of internet technologies in small businesses. Journal of
Computer Information Systems, 44(4), 57–66.
Lee, F.-H., & Wu, W.-Y. (2011). Moderating effects of technology
acceptance perspectives on e-service quality formation: Evidence
from airline websites in Taiwan. Expert Systems with Applications,
38(6), 7766–7773.
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.
https://doi.org/10.1016/S0378-7206(01)00143-4.
Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying
social cognitive theory of career and academic interest, choice, and
performance. Journal of Vocational Behaviour, 45, 79–122.
Lim. (2003). A conceptual framework on the adoption of negotiation
support systems. Information and Software Technology, 45, 469–
477.
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit
limits the predictive power of intention: The case of information
systems continuance. MIS Quarterly: Management Information
Systems, 31(4), 705–737. https://doi.org/10.2307/25148817.
Lin, C. P., & Anol, B. (2008). Learning online social support: An
investigation of network information technology based on UTAUT.
CyberPsychology & Behavior, 11(3).
Loo, W. H., Yeow, P. H., & Chong, S. C. (2009). User acceptance of
Malaysian government multipurpose smartcard applications.
Government Information Quarterly, 26(2), 358–367.
Luo, M. M., Chea, S., & Chen, J.-S. (2011). Web-based information
service adoption: A comparison of the motivational model and the
uses and gratifications theory. Decision Support Systems, 51(1), 21–
30. https://doi.org/10.1016/j.dss.2010.11.015.
Marques, B. P., Villate, J. E., & Carvalho, C. V. (2011). Applying the
UTAUT model in engineering higher education: Teacher’ s
technology adoption. In 6th Iberian conference on information
systems and technologies CISTI 2011 (pp. 1–6).
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.
Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the
technology acceptance model: The influence of perceived user
resources. Database for Advances in Information Systems, 32(3), 86.
Mohammadyari, S., & Singh, H. (2015). Computers and Education
Understanding the effect of e-learning on individual performance:
The role of digital literacy. Computers and Education, 82, 11–25.
https://doi.org/10.1016/j.compedu.2014.10.025.
Moore, G. C., & Benbasat, I. (1991). Develoment of an instrument to
measure the perceptions of adopting an information technology
innovation. Information Systems Research, 2(3).
Morris, M. G., & Venkatesh, V. (2000). Age differences in technology
adoption decisions: Implications for a changing work force.
Personnel Psychology, 53(2), 375–403. https://doi.org/10.1111/j.
1744-6570.2000.tb00206.x.
N Bourbon, I., & Hollet-Haudebert, S. (2009). Pourquoi contribuer a`
des bases de connaissances? Une exploration des facteurs explicatifs
a` la lumie`re du mode`le UTAUT. Syste`mes d’Information et
Management, 14(1), 9–36.
Negahban, A., & Chung, C. -H. (2014). Discovering determinants of
users perception of mobile device functionality fit. Computers in
Human Behavior, 35, 75–84. https://doi.org/10.1016/j.chb.2014.02.
020.
Nov, O., & Ye, C. (2009). Resistance to change and the adoption of
digital libraries: An integrative model. Journal of the American
Society for Information Science and Technology, 60(8), 1702–1708.
Novakovic, L., McGill, T., & Dixon, M. (2009). Understanding user
behavior towards passwords through acceptance and use modelling.
International Journal of Information Security and Privacy, 3(1),
11–29. https://doi.org/10.4018/jisp.2009010102.
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to
use mobile services: Anteced-ents and cross- service comparisons.
Journal of the Academy of Marketing Science, 33(3), 330–346.
https://doi.org/10.1177/0092070305276149.
Oliveira, T., & Martins, M. F. (2011). Literature review of information
technology adoption models at firm level. The Electronic Journal
Information Systems Evaluation (EJISE), 14(1), 110–121.
Oyelaran-Oyeyinka, B., & Adeya, C. N. (2003). Dynamics of adoption
and usage of ICTs in African universities: A study of Kenya and
Nigeria. Technovation, 24(10), 841–851.
Pajares, F., & Schunk, D. H. (2002). Self and self-belief in psychology
and education: A historical perspective. Improving academic
achievement. In Impact of psychological factors on education
(pp. 3–21). http://www.uky.edu/*eushe2/Pajares/efftalk.html.
Pearlson, K., & Sauders, C. (2003). No managing and using
information systems: A strategic approach. New York: Wiley.
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.
46
5 Technology Adoption Theories and Models