How to cite this paper
Mohamed, M & Ahmed, T. (2020). Developing technology acceptance model for e-service purposes.Management Science Letters , 10(10), 2221-2228.
Refrences
Ali, H. (2019). Measurement of e-services quality: an empirical study of University of Bahrain. Education and Information Technologies, 24(3), 1907-1924.
Chiu, C. M., & Wang, E. T. (2008). Understanding Web-based learning continuance intention: The role of sub-jective task value. Information & Management, 45(3), 194-201.
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & management, 36(1), 9-21.
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analy-sis (Vol. 5, No. 3, pp. 207-219). Upper Saddle River, NJ: Prentice hall.
Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers & Education, 58(1), 88-99.
Naicker, S., & Singh, A. (2019, March). Developing a framework towards improving business analysis of in-tegrated public e-service systems. In 2019 Conference on Information Communications Technology and Society (ICTAS) (pp. 1-6). IEEE.
Persico, D., Manca, S., & Pozzi, F. (2014). Adapting the Technology Acceptance Model to evaluate the inno-vative potential of e-learning systems. Computers in Human Behavior, 30, 614-622.
Taherdoost, H. (2018). Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model. Behaviour & Information Technology, 37(2), 173-197.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478.
Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792-1808.
Chiu, C. M., & Wang, E. T. (2008). Understanding Web-based learning continuance intention: The role of sub-jective task value. Information & Management, 45(3), 194-201.
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
Dishaw, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & management, 36(1), 9-21.
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analy-sis (Vol. 5, No. 3, pp. 207-219). Upper Saddle River, NJ: Prentice hall.
Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers & Education, 58(1), 88-99.
Naicker, S., & Singh, A. (2019, March). Developing a framework towards improving business analysis of in-tegrated public e-service systems. In 2019 Conference on Information Communications Technology and Society (ICTAS) (pp. 1-6). IEEE.
Persico, D., Manca, S., & Pozzi, F. (2014). Adapting the Technology Acceptance Model to evaluate the inno-vative potential of e-learning systems. Computers in Human Behavior, 30, 614-622.
Taherdoost, H. (2018). Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model. Behaviour & Information Technology, 37(2), 173-197.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478.
Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792-1808.