E-learning technology and higher education: the impact of organizational trust

References

• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.10.1016/0749-5978(91)90020-T
   Web of Science ®Google Scholar
• Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Belanche, D., Casalò, L., Flavian, C., & Schepers, J. (2014). Trust transfer in the continued usage of public e-services. Information & Management, 51, 627–640.10.1016/j.im.2014.05.016
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25, 351–370.10.2307/3250921
   Web of Science ®Google Scholar
• Bhattacherjee, A., & Lin, C.-P. (2014). A unified model of IT continuance: Three complementary perspectives and crossover effects. European Journal of Information Systems, 1–10.
   Web of Science ®Google Scholar
• Bøe, T., Gulbrandsen, B., & Sørebø, Ø. (2015). How to stimulate the continued use of ICT in higher education: Integrating information systems continuance theory and agency theory. Computers in Human Behavior, 50, 375–384.10.1016/j.chb.2015.03.084
   Web of Science ®Google Scholar
• Bradach, J., & Eccles, R. (1989). Price, authority, and trust: from ideal types to plural forms. Annual Review of Sociology, 15, 97–118.10.1146/annurev.so.15.080189.000525
   Web of Science ®Google Scholar
• Chai, S., & Kim, M. (2010). What makes bloggers share knowledge? An investigation on the role of trust. Journal of Information Management, 30, 408–415.10.1016/j.ijinfomgt.2010.02.005
   Web of Science ®Google Scholar
• Chircu, A., Davis, G., & Kaufann, R. (2000). Trust, expertise and e-commerce intermediary adoption. Proceedings of the sixth American conference on information systems, Long Beach, CA.
   Google Scholar
• Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13, 319–340.10.2307/249008
   Web of Science ®Google Scholar
• Egea, J., & Gonzalez, M. (2010). Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors. Computers in Human Behavior, 319–332.
   Web of Science ®Google Scholar
• Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.10.1016/S1071-5819(03)00111-3
   Web of Science ®Google Scholar
• Fornell, C. D., & Lacker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Market Research, 18(Feb.), 39–50.10.2307/3151312
   Google Scholar
• Gefen, D. (2000). The role of familiarity and trust. Omega, 28(6), 725–737.10.1016/S0305-0483(00)00021-9
   Web of Science ®Google Scholar
• Gefen, D., Karahanna, E., & Straub, D. (2003). Trust & TAM in online-shopping. MIS Quarterly, 27(1), 51–90.10.2307/30036519
   Web of Science ®Google Scholar
• Greenberg, R. (2008). Culture and consumer trust in online businesses. Journal of Global Information Management, 16(3), 26–44.10.4018/JGIM
   Web of Science ®Google Scholar
• Harris, L., & Goode, M. (2004). The four levels of loyalty and the pivotal role of the trust: A study of online service dynamics. Journal of Retail, 80, 139–158.10.1016/j.jretai.2004.04.002
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Hernández-Ortega, B. (2011). The role of post-use trust in the acceptance of a te4chnology: Drivers and consequences. Technovation, 31, 523–538.10.1016/j.technovation.2011.07.001
   Web of Science ®Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.10.1080/10705519909540118
   Web of Science ®Google Scholar
• Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20, 195–204.10.1002/(ISSN)1097-0266
   Web of Science ®Google Scholar
• Hung, M. C., Chang, I. C., & Hwang, H. G. (2011). Exploring academic teachers’ continuance toward the web-based learning system: The role of causal attributions. Computers & Education, 57(2), 1530–1543.10.1016/j.compedu.2011.02.001
   Web of Science ®Google Scholar
• Islam, N. A. (2011). Extending information system continuance theory with system quality in e-learning context. AMCIS Proceedings. AIS Electronic Library.
   Google Scholar
• Islam, N. A. (2012). The role of perceived system quality as educators’ motivation to continue e-learning system use. Transactions on Human-Computer Interaction, 4(1), 25–43.10.17705/1thci
   Google Scholar
• Kim, Y. J., Chun, J. U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. International Journal of Information Management, 29, 67–77.10.1016/j.ijinfomgt.2008.01.011
   Web of Science ®Google Scholar
• Koufaris, M., & Hampton-Sosa, W. (2004). The development of initial trust in an online company by new customers. Information and Management, 41, 377–397.10.1016/j.im.2003.08.004
   Web of Science ®Google Scholar
• Larsen, T. J., Sørebø, A. M., & Sørebø, Ø. (2009). The role of task-technology fit as users’ motivation to continue information system use. Computers in Human Behavior, 25, 778–784.10.1016/j.chb.2009.02.006
   Web of Science ®Google Scholar
• Laugesen, J. (2012). The role of confirmation in IS continuance theory: A comprehensive meta-analysis. International Conference on Information Systems, 1–20.
   Google Scholar
• Lee, J., & See, K. (2004). Trust in automation: Designing for appropriate reliance. Human Factors, 42(1), 50–80.10.1518/hfes.46.1.50.30392
   Google Scholar
• Lee, M., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of Electronics and Communications, 6(1), 75–91.
   Web of Science ®Google Scholar
• Li, X., Hess, T. J., & Valacich, J. S. (2008). Why do we trust new technology? A study of initial trust formation with organizational information systems. Journal of Strategic Information Systems, 17(1), 39–71.10.1016/j.jsis.2008.01.001
   Web of Science ®Google Scholar
• Luo, X., Li, H., Zhang, J., & Shim, J. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49, 222–234.10.1016/j.dss.2010.02.008
   Web of Science ®Google Scholar
• Mayer, R., Davis, J., & Schoorman, F. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734.
   Web of Science ®Google Scholar
• McKnight, D. H. (2005). Trust in information technology. In G. B. Davis (Ed.), The Blackwell encyclopedia of management (pp. 329–331). Maiden: Blackwell.
   Google Scholar
• McKnight, D. H., & Chervany, N. L. (2002). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. International Journal of Electronics and Communications, 6(2), 35–59.
   Web of Science ®Google Scholar
• McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce, an integrative typology. Information Systems Research, 13(3), 3343–3359.
   Web of Science ®Google Scholar
• Nabavi, A., Taghavi-Fard, M. T., Hanafizadeh, P., & Taghva, M. R. (2016). Information technology continuance intention: A systematic literature review. International Journal of E-Business Research, 12(1), 58–95.10.4018/IJEBR
   Web of Science ®Google Scholar
• Oliver, R. L. (1981). Measurement and evaluation of satisfaction process in retailer selling. Journal of Retailing, 17, 25–48.
   Google Scholar
• Ørnes, H. (2015). Digital tilstand 2014 – Norgesuniversitetets monitor. Tromsø: Norgesuniversitetet.
   Google Scholar
• Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101–134.
   Web of Science ®Google Scholar
• Pavlou, P., & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information System Research, 15(1), 37–59.10.1287/isre.1040.0015
   Web of Science ®Google Scholar
• Ratnasingham, P., & Pavlou, P. (2002). Technology trust: The next value creator in B2B electronic commerce. IRMA International Conference, Seattle, WA.
   Google Scholar
• Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH. Retrieved from http://www.smartpls.com
   Google Scholar
• Salon, J., & Karjaluoto, H. (2007). A conceptual model of trust in the online environment. Online Information Review,31, 604–621.10.1108/14684520710832324
   Web of Science ®Google Scholar
• Shankar, V., Urban, G., & Sultan, F. (2002). Online trust: A stakeholder perspective, concepts, implications, and future directions. The Journal of Strategic Information Systems, 11(3), 325–344.10.1016/S0963-8687(02)00022-7
   Web of Science ®Google Scholar
• Sørebø, Ø., Halvari, H., Gulli, V. F., & Kristiansen, R. (2009). The role of self-determination theory in explaining teachers’ motivation to continue to use e-learning technology. Computers & Education, 53, 1177–1187.10.1016/j.compedu.2009.06.001
   Web of Science ®Google Scholar
• Spreng, R. A., & Mackoy, R. D. (1996). An empirical examination of a model of perceived service quality and satisfaction. Journal of Retailing, 72(2), 201–214.10.1016/S0022-4359(96)90014-7
   Web of Science ®Google Scholar
• Suh, B., & Han, I. (2003). The impact of customer trust and perception of security control on the acceptance of electronic commerce. International Journal of Electronics and Communications, 7(3), 135–161.
   Web of Science ®Google Scholar
• Teo, T., & Liu, J. (2007). Consumer trust in e-commerce in the United States, Singapore, and China. Omega, 35, 22–38.10.1016/j.omega.2005.02.001
   Web of Science ®Google Scholar
• Vatanasombut, B., Igbaria, M., Stylianou, A., & Rodgers, W. (2008). Information systems continuance intention of web-based applications customers: The case of on-line banking. Information Management, 45, 419–428.10.1016/j.im.2008.03.005
   Google Scholar
• Warkentin, M., Gefen, D., Pavlou, P., & Rose, G. (2002). Encouraging citizen adoption of e-government by building trust. Electronic Markets, 12(3), 371–391.
   Google Scholar
• Wu, I., & Chen, J. (2005). An extension of trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human-Computer Studies, 62(6), 784–808.10.1016/j.ijhcs.2005.03.003
   Web of Science ®Google Scholar