References
Abdullah, M., & Khanam, L. (2016). The Influence of Website Quality
on m-banking services Adoption in Bangladesh : Applying the
UTAUT2 model using PLS. In International Conference on
Electrical, Electronics, and Optimization Techniques (ICEEOT)
(pp. 1–19).
Abdullah, M., Hu, W., & Khanam, L. (2016). The influence of Website
quality on m-banking services adoption in Bangladesh : Applying
the UTAUT2 model using PLS. In International Conference on
Electrical, Electronics, and Optimization Techniques (ICEEOT)
(pp. 1–19).
Abu-Shanab, E., & Pearson, J. M. (2009). Internet banking in Jordan:
An Arabic instrument validation process. The International Arab
Journal of Information Technology, 6(3), 235–244.
AbuShanab, E., Pearson, J., & Setterstrom, A. J. (2009). Internet
banking and customers’ acceptance in Jordan: The unified model’s
perspective. Communications of AIS, 26, 493–524.
AbuShanab, E., Pearson, J. M., & Setterstrom, A. (2010). Internet
banking and customers’ acceptance in Jordan: The unified model’s
perspective. Communications of the Association for Information
Systems, 26(1), 493–524.
Agarwal, R., & Prasad, J. (1999). Are individual differences Germane
to the acceptance of new information technologies? Decision
Sciences, 30, 361–391.
Aggelidis, V. P., & Chatzoglou, P. D. (2009). Using a modified
technology acceptance model in hospitals. International Journal of
Medical Informatics, 78(2), 115–126. https://doi.org/10.1016/j.
ijmedinf.2008.06.006.
Ahmed, U., Zin, L. M., Halim, A., & Majid, A. (2016). Impact of
intention and technology awareness on transport industry’s
E-service: Evidence from an emerging economy. International
Journal of Industrial Distribution & Business, 7(3), 13–18.
Ajzen, I. (1991). The theory of planned behavior. Organizational
Behavior and Human Decision Processes, 50(2), 179–211.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and
predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
AlAwadhi, S., & Morris, A. (2008). The use of the UTAUT model in
the adoption of E-Government services in Kuwait. In Proceedings
of the 41st Annual Hawaii International Conference on System
Sciences (HICSS 2008) (pp. 219–219). https://doi.org/10.1109/
HICSS.2008.452.
Alazzam, M. B., Basari, A. S. H., Sibghatullah, A. S., Ibrahim, Y. M.,
Ramli, M. R., & Naim, M. H. (2016). Trust in stored data in EHRs
acceptance of medical staff: Using UTAUT2. International Journal
of Applied Engineering Research, 11(4), 2737–2748.
Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer
expertise. Journal of Consumer Research, 13(March), 411. https://
doi.org/10.1086/209080.
Alice, W. M. (2011). Towards adoption of electronic learning: An
empirical investigation of faculty behavioral intentions. Capella
University.
Al-Gahtani, S. S. (2003). Computer technology adoption in Saudi
Arabia: Correlates of perceived innovation attributes. Information
Technology for Development, 10(1), 57–69. https://doi.org/10.1002/
itdj.1590100106.
Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information
Technology (IT) in Saudi Arabia: Culture and the acceptance and
use of IT. Information and Management, 44(8), 681–691. https://
doi.org/10.1016/j.im.2007.09.002.
Alghamdi, S. R. (2016). Use and attitude towards Learning Management Systems (LMS) in Saudi Arabian universities. Eurasia
Journal of Mathematics, Science and Technology Education, 12
(9), 2309–2330. https://doi.org/10.12973/eurasia.2016.1281a.
Al-Qeisi, K. (2009). Analyzing the Use of UTAUT model in explaining
an online behavior: Internet Banking Adoption [Brunel University].
http://bura.brunel.ac.uk/bitstream/2438/3620/1/KholoudThesis.pdf.
Al-sobhi, F., Weerakkody, V., & El-Haddadeh, R. (2011). The relative
importance of intermediaries in egovernment adoption : A study of
Saudi Arabia (pp. 62–74).
Alzahrani, M. E., & Goodwin, R. D. (2012). Towards a UTAUT-based
model for the study of E-Government Citizen acceptance in Saudi
Arabia (pp. 8–15).
Anderson, C. S., Al-Gahtani, S., & Hubona, G. (2011). The value of
TAM antecedents in Global IS development and research. Journal
of Organizational and End User Computing, 23(1), 18–37. https://
doi.org/10.4018/joeuc.2011010102.
Bagozzi, Davis, F. D., & Warshaw, P. R. (1992). Development and test
of a theory of technological learning and usage. Human Relations,
45(7), 659–686.
Bandura, A. (1986). Social foundations of thought and action: A social
cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
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.
Bardram, J. E., & Hansen, T. R. (2010). Context-based workplace
awareness. Computer Supported Cooperative Work (CSCW), 19(2),
105–138.
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable
distinction in social psychological research: Conceptual, strategic,
and statistical considerations. Journal of Personality and Social
Psychology, 51(6), 1173–1182.
Baron, S., Patterson, A., & Harris, K. (2006). Beyond technology
acceptance understanding consumer practice. International Journal of Service Industry Management, 17(2), 111–135. https://doi.
org/10.1108/09564230610656962.
Berthon, P., Pitt, L., Ewing, M., & Carr, C. (2002). Potential research
space in MIS: A framework for envisioning and evaluating research
replication, extension, and generation. Information Systems
Research, 13(4), 416.
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of
technology in households: A baseline model test and extension
incorporating household life cycle. MIS Quarterly, 29(4), 399–426.
Burton-Jones, A., & Grange, C. (2013). From use to effective use: A
representation theory perspective. Information Systems Research,
24(3), 632–658.
Chang, I. C., Hwang, H. G., Hung, W. F., & Li, Y. C. (2007).
Physicians’ acceptance of pharmacokinetics-based clinical decision
support systems. Expert Systems with Applications, 33(2), 296–303.
Charbaji, A., & Mikdashi, T. (2003). A path analytic study of the
attitude towards e-government in Lebanon. Corporate Governance,
3(1), 76–82.
Chau, P., & Hu, P. (2002). Examining a model of information
technology acceptance by individual professionals: An exploratory
study. Journal of Management Information Systems, 18(4),
191–229.
Chen, C. P., Lai, H. M., & Ho, C. Y. (2015). Why do teachers continue
to use teaching blogs? The roles of perceived voluntariness and
habit. Computers and Education, 82(1), 236–249. https://doi.org/
10.1016/j.compedu.2014.11.017.
Cheng, B., Wang, M., Moormann, J., Olaniran, B. A., & Chen, N.-S.
(2012). The effects of organizational learning environment factors
on e-learning acceptance. Computers and Education, 58(3), 885–
899. https://doi.org/10.1016/j.compedu.2011.10.014.
44
5 Technology Adoption Theories and Models
Abdullah, M., & Khanam, L. (2016). The Influence of Website Quality
on m-banking services Adoption in Bangladesh : Applying the
UTAUT2 model using PLS. In International Conference on
Electrical, Electronics, and Optimization Techniques (ICEEOT)
(pp. 1–19).
Abdullah, M., Hu, W., & Khanam, L. (2016). The influence of Website
quality on m-banking services adoption in Bangladesh : Applying
the UTAUT2 model using PLS. In International Conference on
Electrical, Electronics, and Optimization Techniques (ICEEOT)
(pp. 1–19).
Abu-Shanab, E., & Pearson, J. M. (2009). Internet banking in Jordan:
An Arabic instrument validation process. The International Arab
Journal of Information Technology, 6(3), 235–244.
AbuShanab, E., Pearson, J., & Setterstrom, A. J. (2009). Internet
banking and customers’ acceptance in Jordan: The unified model’s
perspective. Communications of AIS, 26, 493–524.
AbuShanab, E., Pearson, J. M., & Setterstrom, A. (2010). Internet
banking and customers’ acceptance in Jordan: The unified model’s
perspective. Communications of the Association for Information
Systems, 26(1), 493–524.
Agarwal, R., & Prasad, J. (1999). Are individual differences Germane
to the acceptance of new information technologies? Decision
Sciences, 30, 361–391.
Aggelidis, V. P., & Chatzoglou, P. D. (2009). Using a modified
technology acceptance model in hospitals. International Journal of
Medical Informatics, 78(2), 115–126. https://doi.org/10.1016/j.
ijmedinf.2008.06.006.
Ahmed, U., Zin, L. M., Halim, A., & Majid, A. (2016). Impact of
intention and technology awareness on transport industry’s
E-service: Evidence from an emerging economy. International
Journal of Industrial Distribution & Business, 7(3), 13–18.
Ajzen, I. (1991). The theory of planned behavior. Organizational
Behavior and Human Decision Processes, 50(2), 179–211.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and
predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.
AlAwadhi, S., & Morris, A. (2008). The use of the UTAUT model in
the adoption of E-Government services in Kuwait. In Proceedings
of the 41st Annual Hawaii International Conference on System
Sciences (HICSS 2008) (pp. 219–219). https://doi.org/10.1109/
HICSS.2008.452.
Alazzam, M. B., Basari, A. S. H., Sibghatullah, A. S., Ibrahim, Y. M.,
Ramli, M. R., & Naim, M. H. (2016). Trust in stored data in EHRs
acceptance of medical staff: Using UTAUT2. International Journal
of Applied Engineering Research, 11(4), 2737–2748.
Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer
expertise. Journal of Consumer Research, 13(March), 411. https://
doi.org/10.1086/209080.
Alice, W. M. (2011). Towards adoption of electronic learning: An
empirical investigation of faculty behavioral intentions. Capella
University.
Al-Gahtani, S. S. (2003). Computer technology adoption in Saudi
Arabia: Correlates of perceived innovation attributes. Information
Technology for Development, 10(1), 57–69. https://doi.org/10.1002/
itdj.1590100106.
Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information
Technology (IT) in Saudi Arabia: Culture and the acceptance and
use of IT. Information and Management, 44(8), 681–691. https://
doi.org/10.1016/j.im.2007.09.002.
Alghamdi, S. R. (2016). Use and attitude towards Learning Management Systems (LMS) in Saudi Arabian universities. Eurasia
Journal of Mathematics, Science and Technology Education, 12
(9), 2309–2330. https://doi.org/10.12973/eurasia.2016.1281a.
Al-Qeisi, K. (2009). Analyzing the Use of UTAUT model in explaining
an online behavior: Internet Banking Adoption [Brunel University].
http://bura.brunel.ac.uk/bitstream/2438/3620/1/KholoudThesis.pdf.
Al-sobhi, F., Weerakkody, V., & El-Haddadeh, R. (2011). The relative
importance of intermediaries in egovernment adoption : A study of
Saudi Arabia (pp. 62–74).
Alzahrani, M. E., & Goodwin, R. D. (2012). Towards a UTAUT-based
model for the study of E-Government Citizen acceptance in Saudi
Arabia (pp. 8–15).
Anderson, C. S., Al-Gahtani, S., & Hubona, G. (2011). The value of
TAM antecedents in Global IS development and research. Journal
of Organizational and End User Computing, 23(1), 18–37. https://
doi.org/10.4018/joeuc.2011010102.
Bagozzi, Davis, F. D., & Warshaw, P. R. (1992). Development and test
of a theory of technological learning and usage. Human Relations,
45(7), 659–686.
Bandura, A. (1986). Social foundations of thought and action: A social
cognitive theory. Englewood Cliffs, NJ: Prentice Hall.
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.
Bardram, J. E., & Hansen, T. R. (2010). Context-based workplace
awareness. Computer Supported Cooperative Work (CSCW), 19(2),
105–138.
Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable
distinction in social psychological research: Conceptual, strategic,
and statistical considerations. Journal of Personality and Social
Psychology, 51(6), 1173–1182.
Baron, S., Patterson, A., & Harris, K. (2006). Beyond technology
acceptance understanding consumer practice. International Journal of Service Industry Management, 17(2), 111–135. https://doi.
org/10.1108/09564230610656962.
Berthon, P., Pitt, L., Ewing, M., & Carr, C. (2002). Potential research
space in MIS: A framework for envisioning and evaluating research
replication, extension, and generation. Information Systems
Research, 13(4), 416.
Brown, S. A., & Venkatesh, V. (2005). Model of adoption of
technology in households: A baseline model test and extension
incorporating household life cycle. MIS Quarterly, 29(4), 399–426.
Burton-Jones, A., & Grange, C. (2013). From use to effective use: A
representation theory perspective. Information Systems Research,
24(3), 632–658.
Chang, I. C., Hwang, H. G., Hung, W. F., & Li, Y. C. (2007).
Physicians’ acceptance of pharmacokinetics-based clinical decision
support systems. Expert Systems with Applications, 33(2), 296–303.
Charbaji, A., & Mikdashi, T. (2003). A path analytic study of the
attitude towards e-government in Lebanon. Corporate Governance,
3(1), 76–82.
Chau, P., & Hu, P. (2002). Examining a model of information
technology acceptance by individual professionals: An exploratory
study. Journal of Management Information Systems, 18(4),
191–229.
Chen, C. P., Lai, H. M., & Ho, C. Y. (2015). Why do teachers continue
to use teaching blogs? The roles of perceived voluntariness and
habit. Computers and Education, 82(1), 236–249. https://doi.org/
10.1016/j.compedu.2014.11.017.
Cheng, B., Wang, M., Moormann, J., Olaniran, B. A., & Chen, N.-S.
(2012). The effects of organizational learning environment factors
on e-learning acceptance. Computers and Education, 58(3), 885–
899. https://doi.org/10.1016/j.compedu.2011.10.014.
44
5 Technology Adoption Theories and Models