Quality Evaluation Models - High Level Models and Methodologies for Information Systems - page 113

is the most appropriate for the task at hand, or the most likely to increase social
status or facilitate social interaction, the basic principle is almost always that per-
ceived usefulness constitutes a core component of the adoption process.
And third, the process of actual adoption is moderated by a great number of
possible variables of in

uence,
cognitive processes, expectations, etc. All these factors can be traced to the
underlying concept that all models share: that the process by which individual
perception and beliefs are formed is a complex one. Nevertheless, positive results
from empirical studies show that it is possible to predict variation with a suf

uence, described as subjective norm, social in

cient

degree to make it useful. Therefore, research on this field will most likely continue

to grow, through the evolution, fusion, and/or adaptation of the existing models.

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision
Processes, 50(2), 179 - 211.
Ajzen, I. (2012). Martin Fishbein s legacy: The reasoned action approach. The Annals of the

American Academy of Political and Social Science, 640(1), 11

'

27.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behaviour.
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. Paper presented at the Hawaii International Conference on System
Sciences, Proceedings of the 41st Annual, Waikoloa, HI.
Albarq, A., & Alsughayir, A. (2013). Examining theory of reasoned action in internet banking
using SEM among Saudi consumers. International Journal of Marketing Practices

-

— IJMP, 1

30.
Anderson, J., & Schwager, P. (2003). SME adoption of wireless LAN technology: Applying the
UTAUT model. Proceedings of the 7th Annual Conference of the Southern Association for
Information Systems, pp. 39 - 43.
Au, N., Ngai, W., & Cheng, T. (2008). Extending the understanding of end user information
systems satisfaction formation: An equitable needs ful llment model approach. MIS Quarterly,
32(1), 43 - 66.
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a
paradigm shift. Journal of the association for information systems, 8(4), 3.
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-
confirmation model. MIS Quarterly, 25(3), 351

(1), 16

-

370.
Bhattacherjee, A., Limayem, M., & Cheung, C. M. (2012). User switching of information
technology: A theoretical synthesis and empirical test. Information & Management, 49(7),
327

-

333.
Burak, L. J., Rosenthal, M., & Richardson, K. (2013). Examining attitudes, beliefs, and intentions
regarding the use of exercise as punishment in physical education and sport: an application of
the theory of reasoned action. Journal of Applied Social Psychology, 43, 1436

-

1445.

-

Chen, C.-J. (2013). Using task-technology fit model evaluates trainees learning performance in

Second Life. Paper presented at the International Conference on Information, Business and
Education Technology (ICIBIT 2013), Beijing, China.
Cheung, C. M., & Lee, M. K. (2010). A theoretical model of intentional social action in online
social networks. Decision Support Systems, 49(1), 24 - 30.

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