Bandura, A., & Walters, R. H. (1977). Social learning theory (Vol. 1). Prentice Hall: Englewood cliffs.
Bhattacherjee, A., & Lin, C. P. (2015). A unified model of IT continuance: three complementary perspectives and crossover effects. European Journal of Information Systems, 24(4), 364-373.
Cohen, J. (2013). Statistical power analysis for the behavioral sciences. Academic press.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95.
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.
Fishbein, M., & Ajzen, I. (1976). Misconceptions about the Fishbein model: Reflections on a study by Songer-Nocks. Journal of Experimental Social Psychology, 12(6), 579-584.
Hair, Jr, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I–method. European business review, 28(1), 63-76.
Hsu, P. F., Yen, H. R., & Chung, J. C. (2015). Assessing ERP post-implementation success at the individual level: Revisiting the role of service quality. Information & Management, 52(8), 925-942.
Health Information Management Systems Society. (2008). Electronic Health Records: A Global Perspective. New York: Healthcare Information and Management Systems Society (HIMSS).
Kim, H. W. (2010). The effects of switching costs on user resistance to enterprise systems implementation. IEEE Transactions on Engineering Management, 58(3), 471-482.
Moghaddasi, H., Mohammadpour, A., Bouraghi, H., et al. (2018). Hospital Information Systems: The status and approaches in selected countries of the Middle East. Electronic physician, 10(5), 6829.
Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.
McKee, D., Simmers, C. S., & Licata, J. (2006). Customer self-efficacy and response to service. Journal of service research, 8(3), 207-220.
Moghaddasi, H., et al. (2018). Hospital Information System: The status and approaches in selected countries of the Middle East. Electron Physian, 10(5), 6829-6835
Nguyen, D. T. (2013). Textbook of scientific research methods in business.
Nugroho, Y., & Prasetyo, A. (2018). Assessing information systems success: A respecification of the DeLone and McLean model to integrating the perceived quality. Problems and perspectives in management, 16(1), 348-360.
Oktal, O., Alpu, O., & Yazici, B. (2016). Measurement of internal user satisfaction and acceptance of the e-justice system in Turkey. Aslib Journal of Information Management, 68(6), 716-735.
Pai, F. Y., & Huang, K. I. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological forecasting and social change, 78(4), 650-660.
Seddon, P., & Kiew, M. Y. (1996). A partial test and development of DeLone and McLean’s model of IS success. Australasian Journal of Information Systems, 4(1).
Sun, Y., Shao, X., Li, X., Guo, Y., & Nie, K. (2019). How live streaming influences purchase intentions in social commerce: An IT affordance perspective. Electronic commerce research and applications, 37, 100886.
Sykes, T. A. (2020). Enterprise System Implementation and Employee Job Outcomes: Understanding the Role of Formal and Informal Support Structures Using the Job Strain Model. MIS quarterly, 44(4).
Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
Wang, Y. S. (2008). Assessing e‐commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information systems journal, 18(5), 529-557.