Rahim, N. Z. A., Lallmahomed, M. Z., Ibrahim, R., & Rahman, A. A.
(2011). No title a preliminary classification of usage measures in
information system acceptance: A Q-sort approach. International
Journal of Technology Diffusion, 2(4), 4–25.
Rajapakse, J. (2011). Extending the Unified Theory of Acceptance and
Use of Technology (UTAUT) model. In 2011 4th International
Conference on Interaction Sciences (ICIS) (pp. 47–52).
Reffat, R. (2003). Developing a successful E-Government (Working
Paper).
Rehman, M., Esichaikul, V., & Kamal, M. (2012). Factors influencing
e-government adoption in Pakistan. Transforming Government:
People, Process and Policy, 6(3), 258–282.
Riedel, J., Pawar, K., Torroni, S., & Ferrari, E. (2007). A survey of
RFID awareness and use in UK logistics industry. In Dynamics in
logistics, first international conference, LDIC 2007 (pp. 105–115).
Robey, E., & Rodriguez-Diaz, A. (1989). The organizational and
cultural context of systems implementation: case experience for
Latin America. Information Management, 17(4), 229–239.
Rodrigues, G., Sarabdeen, J., & Balasubramanian, S. (2016). Factors
that influence consumer adoption of e-government services in the
UAE: A UTAUT model perspective. Journal of Internet Commerce,
15(1), 18–39. https://doi.org/10.1080/15332861.2015.1121460.
Rogers, E. M. (1983). Diffusion of innovations. Free Press.
Rogers, E. M. (1995). Diffusion of innovation (5th ed.). The Free Press.
Rogers, E. M. (2003). Diffusion of innovations (5th ed). Free Press.
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.
Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: A
study of US taxpayers’ intentions. Computers in Human Behavior,
26(4), 636–644.
Schifter, D. E., & Ajzen, I. (1985). Intention, perceived control, and
weight loss: An application of the theory of planned behaviour.
Journal of Personality and Social Psychology, 49, 843–851.
Serenko, A., Turel, O. & Yol, S. (2006). Moderating roles of user
demographics in the American customer satisfaction model within
the context of mobile services. Journal of Information Technology
Management, 17(4). http://jitm.ubalt.edu/xvii-4/article3.pdf.
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.
Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011).
e-Government Adoption Model (GAM): Differing service maturity
levels. Government Information Quarterly, 28(1), 17–35. https://
doi.org/10.1016/j.giq.2010.05.006.
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of
reasoned action: A meta-analysis of past research with recommendations for modifications and future research. The Journal of
Consumer Research, 15(3), 325–343.
Shiau, W. L., & Chau, P. Y. K. (2015). Understanding behavioral
intention to use a cloud computing classroom: A multiple model
comparison approach. Information and Management, 53(3), 355–
365. https://doi.org/10.1016/j.im.2015.10.004.
Shin, D. H. (2009). Towards an understanding of the consumer
acceptance of mobile wallet. Computers in Human Behavior, 25(6),
1343–1354.
Slade, E. L. & Williams, M. (2013). An extension of the UTAUT 2 in a
healthcare context. In Proceeding of the UK Academy for Information Systems.
Straub, E. T. (2009). Understanding technology adoption: Theory and
future directions for informal learning. Review of Educational
Research, 79(2), 625–649.
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, Y., Bhattacherjee, A., & Ma, Q. (2009). Extending technology
usage to work settings: The role of perceived work compatibility in
ERP implementation. Information and Management, 46(6), 351–
356. https://doi.org/10.1016/j.im.2009.06.003.
Taylor, S., & Todd, P. (1995). Understanding information technology
usage: A test of competing models. Information Systems Research,
6(4), 144–176.
Thompson, R. L., Higgins, H. (1991). Personal computing: Toward a
conceptual model of utilization. MIS Quarterly, 15(1), 125–142.
Thong, Y. L. J., Hong, S. -J., & Tam, K. Y. (2006). The effects of
post-adoption beliefs on the expectation-confirmation model for
information technology continuance. International Journal of
Human-Computer Studies, 64(9), 799–810.
Tibenderana, P. K., & Ogao, P. (2009). Information technologies
acceptance and use among universities in Uganda: A model for
hybrid library services end-users. International Journal of Computing and ICT Research, 1(1), 60–75. www.ijcir.org/.
Triandis, H. C. (1977). Interpersonal behavior. Monterey, CA:
Brooks/Cole Publishing Company.
Van Biljon, J. A. (2006). A model for representing the motivaitonal and
cultural factors that influence mobile phone useage variety.
Unpublished Dissertation, University of South Africa.
Van Biljon, J., & Kotze, P. (2007). Modeling the factors that influence
mobile phone adoption. South African Institute of Computer
Scientists and Information Technologists, 2–3.
Van Biljon, J., & Kotzé, P. (2008). Cultural factors in a mobile phone
adoption and usage model. 14(16), 2650–2679.
Van der Heijden, H. (2004). User acceptance of hedonic information
systems. MIS Quarterly, 695–704.
Van Dijk, J. A., Peters, O., & Ebbers, W. (2008). Explaining the
acceptance and use of government Internet services: A multivariate
analysis of 2006 survey data in the Netherlands. Government
Information Quarterly, 25(3), 379–399.
Vatanparast, R. (2010). Theories behind mobile marketing research
(pp. 255–278). https://doi.org/10.4018/978-1-60566-074-5.ch014.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and
a research agenda on interventions. Decision Sciences, 39(2), 273–
315. https://doi.org/10.1111/j.1540-5915.2008.00192.x.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the
technology acceptance model: Four longitudinal field studies.
Management Science, 46(2), 186–204.
Venkatesh, V., Davis, F., & Morris, M. G. (2007). Dead or alive? The
development, trajectory and future of technology adoption research.
Journal of the Association for Information Systems, 8(4).
Venkatesh, V., & Speier, C. (1999). Computer technology training in
the workplace: A longitudinal investigation of the effect of mood.
Organizational Behavior and Human Decision Processes, 79, 1–28.
Venkatesh, Viswanath, Speier, C., & Morris, M. G. (2002). User
acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297–
316. https://doi.org/10.1111/j.1540-5915.2002.tb01646.x.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003).
User acceptance of information technology: Toward a unified view.
27(3), 425–478.
Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and
user of information technology: Extending the unified theory of
acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
http://ezproxy.library.capella.edu/login;
http://search.ebscohost.
References
47
(2011). No title a preliminary classification of usage measures in
information system acceptance: A Q-sort approach. International
Journal of Technology Diffusion, 2(4), 4–25.
Rajapakse, J. (2011). Extending the Unified Theory of Acceptance and
Use of Technology (UTAUT) model. In 2011 4th International
Conference on Interaction Sciences (ICIS) (pp. 47–52).
Reffat, R. (2003). Developing a successful E-Government (Working
Paper).
Rehman, M., Esichaikul, V., & Kamal, M. (2012). Factors influencing
e-government adoption in Pakistan. Transforming Government:
People, Process and Policy, 6(3), 258–282.
Riedel, J., Pawar, K., Torroni, S., & Ferrari, E. (2007). A survey of
RFID awareness and use in UK logistics industry. In Dynamics in
logistics, first international conference, LDIC 2007 (pp. 105–115).
Robey, E., & Rodriguez-Diaz, A. (1989). The organizational and
cultural context of systems implementation: case experience for
Latin America. Information Management, 17(4), 229–239.
Rodrigues, G., Sarabdeen, J., & Balasubramanian, S. (2016). Factors
that influence consumer adoption of e-government services in the
UAE: A UTAUT model perspective. Journal of Internet Commerce,
15(1), 18–39. https://doi.org/10.1080/15332861.2015.1121460.
Rogers, E. M. (1983). Diffusion of innovations. Free Press.
Rogers, E. M. (1995). Diffusion of innovation (5th ed.). The Free Press.
Rogers, E. M. (2003). Diffusion of innovations (5th ed). Free Press.
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.
Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: A
study of US taxpayers’ intentions. Computers in Human Behavior,
26(4), 636–644.
Schifter, D. E., & Ajzen, I. (1985). Intention, perceived control, and
weight loss: An application of the theory of planned behaviour.
Journal of Personality and Social Psychology, 49, 843–851.
Serenko, A., Turel, O. & Yol, S. (2006). Moderating roles of user
demographics in the American customer satisfaction model within
the context of mobile services. Journal of Information Technology
Management, 17(4). http://jitm.ubalt.edu/xvii-4/article3.pdf.
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.
Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011).
e-Government Adoption Model (GAM): Differing service maturity
levels. Government Information Quarterly, 28(1), 17–35. https://
doi.org/10.1016/j.giq.2010.05.006.
Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of
reasoned action: A meta-analysis of past research with recommendations for modifications and future research. The Journal of
Consumer Research, 15(3), 325–343.
Shiau, W. L., & Chau, P. Y. K. (2015). Understanding behavioral
intention to use a cloud computing classroom: A multiple model
comparison approach. Information and Management, 53(3), 355–
365. https://doi.org/10.1016/j.im.2015.10.004.
Shin, D. H. (2009). Towards an understanding of the consumer
acceptance of mobile wallet. Computers in Human Behavior, 25(6),
1343–1354.
Slade, E. L. & Williams, M. (2013). An extension of the UTAUT 2 in a
healthcare context. In Proceeding of the UK Academy for Information Systems.
Straub, E. T. (2009). Understanding technology adoption: Theory and
future directions for informal learning. Review of Educational
Research, 79(2), 625–649.
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, Y., Bhattacherjee, A., & Ma, Q. (2009). Extending technology
usage to work settings: The role of perceived work compatibility in
ERP implementation. Information and Management, 46(6), 351–
356. https://doi.org/10.1016/j.im.2009.06.003.
Taylor, S., & Todd, P. (1995). Understanding information technology
usage: A test of competing models. Information Systems Research,
6(4), 144–176.
Thompson, R. L., Higgins, H. (1991). Personal computing: Toward a
conceptual model of utilization. MIS Quarterly, 15(1), 125–142.
Thong, Y. L. J., Hong, S. -J., & Tam, K. Y. (2006). The effects of
post-adoption beliefs on the expectation-confirmation model for
information technology continuance. International Journal of
Human-Computer Studies, 64(9), 799–810.
Tibenderana, P. K., & Ogao, P. (2009). Information technologies
acceptance and use among universities in Uganda: A model for
hybrid library services end-users. International Journal of Computing and ICT Research, 1(1), 60–75. www.ijcir.org/.
Triandis, H. C. (1977). Interpersonal behavior. Monterey, CA:
Brooks/Cole Publishing Company.
Van Biljon, J. A. (2006). A model for representing the motivaitonal and
cultural factors that influence mobile phone useage variety.
Unpublished Dissertation, University of South Africa.
Van Biljon, J., & Kotze, P. (2007). Modeling the factors that influence
mobile phone adoption. South African Institute of Computer
Scientists and Information Technologists, 2–3.
Van Biljon, J., & Kotzé, P. (2008). Cultural factors in a mobile phone
adoption and usage model. 14(16), 2650–2679.
Van der Heijden, H. (2004). User acceptance of hedonic information
systems. MIS Quarterly, 695–704.
Van Dijk, J. A., Peters, O., & Ebbers, W. (2008). Explaining the
acceptance and use of government Internet services: A multivariate
analysis of 2006 survey data in the Netherlands. Government
Information Quarterly, 25(3), 379–399.
Vatanparast, R. (2010). Theories behind mobile marketing research
(pp. 255–278). https://doi.org/10.4018/978-1-60566-074-5.ch014.
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and
a research agenda on interventions. Decision Sciences, 39(2), 273–
315. https://doi.org/10.1111/j.1540-5915.2008.00192.x.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the
technology acceptance model: Four longitudinal field studies.
Management Science, 46(2), 186–204.
Venkatesh, V., Davis, F., & Morris, M. G. (2007). Dead or alive? The
development, trajectory and future of technology adoption research.
Journal of the Association for Information Systems, 8(4).
Venkatesh, V., & Speier, C. (1999). Computer technology training in
the workplace: A longitudinal investigation of the effect of mood.
Organizational Behavior and Human Decision Processes, 79, 1–28.
Venkatesh, Viswanath, Speier, C., & Morris, M. G. (2002). User
acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297–
316. https://doi.org/10.1111/j.1540-5915.2002.tb01646.x.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003).
User acceptance of information technology: Toward a unified view.
27(3), 425–478.
Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and
user of information technology: Extending the unified theory of
acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
http://ezproxy.library.capella.edu/login;
http://search.ebscohost.
References
47