Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 665-694.
Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information systems research, 9(2), 204-215.
Ahmad, T. B. T., Madarsha, K. B., Zainuddin, A. M. H., Ismail, N. A. H., & Nordin, M. S. (2010). Faculty's acceptance of computer based technology: Cross-validation of an extended model. Australasian Journal of Educational Technology, 26(2).
Ain, N., Kaur, K., & Waheed, M. (2016). The influence of learning value on learning management system use: An extension of UTAUT2. Information Development, 32(5), 1306-1321.
Akar, S. G. M. (2019). Does it matter being innovative: Teachers’ technology acceptance. Education and Information Technologies, 1-18.
Akkoyunlu, B., & Soylu, M. Y. (2008). A study of student's perceptions in a blended learning environment based on different learning styles. Journal of Educational Technology & Society, 11(1), 183-193.
Al-Awadhi, S., & Morris, A. (2008, 2008). The Use of the UTAUT Model in the Adoption of E-government Services in Kuwait.
Alshehri, M., Drew, S., & AlGhamdi, R. (2013). Analysis of citizens acceptance for e-government services: Applying the UTAUT model. arXiv preprint arXiv:1304.3157.
Arkorful, V., & Abaidoo, N. (2015). The role of e-learning, advantages and disadvantages of its adoption in higher education. International Journal of Instructional Technology and Distance Learning, 12(1), 29-42.
Aslan, A., & Zhu, C. (2018). Starting Teachers' Integration of ICT into Their Teaching Practices in the Lower Secondary Schools in Turkey. Educational Sciences: Theory and Practice, 18(1), 23-45.
Ayad, A. (2018). An extended UTAUT model of factors affecting Malaysian undergradutes’ ICT skills/Ayad A Yass. University of Malaya,
Barnett, T., Pearson, A. W., Pearson, R., & Kellermanns, F. W. (2015). Five-factor model personality traits as predictors of perceived and actual usage of technology. European Journal of Information Systems, 24(4), 374-390.
Bawack, R. E., & Kamdjoug, J. R. K. (2018). Adequacy of UTAUT in clinician adoption of health information systems in developing countries: The case of Cameroon. International journal of medical informatics, 109, 15-22.
Bervell, B., & Umar, I. N. (2017). Validation of the UTAUT model: Re-considering non-linear relationships of Exogeneous variables in higher education technology acceptance research. Eurasia Journal of Mathematics, Science and Technology Education, 13(10), 6471-6490.
Celik, H. (2016). Customer online shopping anxiety within the Unified Theory of Acceptance and Use Technology (UTAUT) framework. Asia Pacific Journal of Marketing and Logistics, 28, 278-307. doi:10.1108/apjml-05-2015-0077
Dai, H., Luo, X. R., Liao, Q., & Cao, M. (2015). Explaining consumer satisfaction of services: The role of innovativeness and emotion in an electronic mediated environment. Decision Support Systems, 70, 97-106.
Davis, F. (1986). A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation, Sloan School of Management, Massachusetts Institute …,
Dedeoglu, B. B., Bilgihan, A., Ye, B. H., Buonincontri, P., & Okumus, F. (2018). The impact of servicescape on hedonic value and behavioral intentions: The importance of previous experience. International Journal of Hospitality Management, 72, 10-20.
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2017). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers, 1-16.
Farooq, M. S., Salam, M., Jaafar, N., Fayolle, A., Ayupp, K., Radovic-Markovic, M., & Sajid, A. (2017). Acceptance and use of lecture capture system (LCS) in executive business studies: Extending UTAUT2. Interactive Technology and Smart Education, 14(4), 329-348.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
Gamage, D., & Fernando, S. (2016). Engaging interactivity in eLearning: Review of practices and challenges in Sri Lanka.
Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the academy of marketing science, 19(3), 209-221.
Hair Jr, J. F., Babin, B. J., & Krey, N. (2017). Covariance-based structural equation modeling in the Journal of Advertising: Review and recommendations. In (Vol. 46, pp. 163-177). Journal of Advertising.
Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM): Sage Publications.
Hariri, A., & Roberts, P. (2015). Adoption of innovation within universities: Proposing and testing an initial model. Creative Education, 6(02), 186.
Iorgulescu, M.-C. (2016). Generation Z and its perception of work. Cross-Cultural Management Journal, 18(1), 47-54.
Jackson, J. D., Mun, Y. Y., & Park, J. S. (2013). An empirical test of three mediation models for the relationship between personal innovativeness and user acceptance of technology. Information & Management, 50(4), 154-161.
Khechine, H., & Lakhal, S. (2018). Technology as a Double-Edged Sword: From Behavior Prediction with UTAUT to Students’ Outcomes Considering Personal Characteristics. JOURNAL OF INFORMATION TECHNOLOGY EDUCATION-RESEARCH, 17, 63-102.
Khidzir, N. Z., Daud, K. A. M., & Ibrahim, M. A. H. (2016). The relationship among student's domain of learning development implementing virtual learning in higher learning institutions. International Journal of Information and Education Technology, 6(6), 418.
Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.
Laurillard, D. (2016). The educational problem that MOOCs could solve: professional development for teachers of disadvantaged students. Research in Learning Technology, 24.
Leong, L.-Y., Ooi, K.-B., Chong, A. Y.-L., & Lin, B. (2013). Modeling the stimulators of the behavioral intention to use mobile entertainment: does gender really matter? Computers in Human Behavior, 29(5), 2109-2121.
Lokuge, S., Sedera, D., & Nanayakkara, S. (2018). Innovate or Copy: A Qualitative Document Analysis to Entrepreneurship in Developing Countries.
Long, T., Cummins, J., & Waugh, M. (2018). Investigating the factors that influence higher education instructors' decisions to adopt a flipped classroom instructional model. British Journal of Educational Technology.
Lopez-Perez, V. A., Ramirez-Correa, P. E., & Grandon, E. E. (2019). Innovativeness and Factors That Affect the Information Technology Adoption in the Classroom by Primary Teachers in Chile. Informatics in Education, 18(1), 165-181.
Lu, J., Yao, J. E., & Yu, C.-S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245-268.
Maican, C. I., Cazan, A.-M., Lixandroiu, R. C., & Dovleac, L. (2019). A study on academic staff personality and technology acceptance: The case of communication and collaboration applications. Computers & Education, 128, 113-131.
Mallinckrodt, B., Abraham, W. T., Wei, M., & Russell, D. W. (2006). Advances in testing the statistical significance of mediation effects. Journal of Counseling Psychology, 53(3), 372.
Márquez-Ramos, L., & Mourelle, E. (2018). On the relationship between society and higher education: what path should we take? Distance Education, 39(1), 19-36.
McKenna, B., Tuunanen, T., & Gardner, L. (2013). Consumers’ adoption of information services. Information & Management, 50(5), 248-257.
Mozelius, P., & Hettiarachchi, E. (2017). Critical Factors for Implementing Blended Learning in Higher Education. International Journal of Information and Communication Technologies in Education, 6(1), 4-18.
Nanayakkara, S. (2017). Impact of Free and Open-source Software Paradigm for Environmental Sustainability - Case Study in Higher Education Sector. International Journal of Research in Electronics and Computer Engineering, 5(4), 174-188. doi:http://doi.org/10.6084/m9.figshare. 7712420.
Nanayakkara, S., & Kusumsiri, N. (2013). Barriers to Successful Implementation of E-Learning in Design Education. Paper presented at the The Third International Congress on Interdisciplinary Research and Development.
Nandwani, S., & Khan, S. (2016). Teachers’ Intention towards the Usage of Technology: An Investigation Using UTAUT Model. Journal of Education & Social Sciences, 4(2), 95-111.
Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404-414.
Palvia, P., Baqir, N., & Nemati, H. (2018). ICT for socio-economic development: A citizens’ perspective. Information & Management, 55(2), 160-176.
Palvia, S., Aeron, P., Gupta, P., Mahapatra, D., Parida, R., Rosner, R., & Sindhi, S. (2018). Online Education: Worldwide Status, Challenges, Trends, and Implications. In: Taylor & Francis.
Purani, K., Kumar, D. S., & Sahadev, S. (2019). e-Loyalty among millennials: Personal characteristics and social influences. Journal of Retailing and Consumer Services, 48, 215-223.
Raman, A., & Don, Y. (2013). Preservice teachers' acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6(7), 157-164.
Ramorola, M. Z. (2018). The roles and responsibilities of e-tutors in Open Distance and eLearning environment. Beyond Familiar Territories.
Rogers, E. (1983). Diffusion of innovations: The Free Press.
Rosen, P. (2005). The effect of personal innovativeness on technology acceptance. Oklahoma State University, Oklahoma
Sarveswaran, K., Nanayakkara, S., Perera, P., Perera, A., & Fernando, S. (2006). Challenges in developing MIS–Case from Government sector. Paper presented at the e-Asia Conference, Colombo, Sri Lanka.
Schillewaert, N., Ahearne, M. J., Frambach, R. T., & Moenaert, R. K. (2005). The adoption of information technology in the sales force. Industrial Marketing Management, 34(4), 323-336.
Shaw, N., & Sergueeva, K. (2019). The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. International Journal of Information Management, 45, 44-55.
Shen, C. M., & Shariff, S. A. (2016, 2016). Apply UTAUT Model for Understanding the Teacher Perceptions Using Frog VLE. Paper presented at the Postgraduate Annual Research On Informatics Seminar (Paris 2016).
Šumak, B., & Šorgo, A. (2016). The acceptance and use of interactive whiteboards among teachers: Differences in UTAUT determinants between pre-and post-adopters. Computers in Human Behavior, 64, 602-620.
Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon: A structural equation modeling approach. Information Technology & People, 29(4), 830-849.
Tarhini, A., Hone, K., & Liu, X. (2014). The effects of individual differences on e-learning users’ behaviour in developing countries: A structural equation model. Computers in Human Behavior, 41, 153-163.
Teo, T., Milutinović, V., & Zhou, M. (2016). Modelling Serbian pre-service teachers' attitudes towards computer use: A SEM and MIMIC approach. Computers & Education, 94, 77-88.
Thomas, D., & Brown, J. S. (2011). A new culture of learning: Cultivating the imagination for a world of constant change (Vol. 219): CreateSpace Lexington, KY.
Tidd, J., & Bessant, J. R. (2018). Managing innovation: integrating technological, market and organizational change: John Wiley & Sons.
Trust, T., & Horrocks, B. (2017). ‘I never feel alone in my classroom’: teacher professional growth within a blended community of practice. Professional Development in Education, 43(4), 645-665.
Van Raaij, E. M., & Schepers, J. J. L. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50(3), 838-852.
Venkatesh, V., & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. doi:10.1287/mnsc.18.104.22.16826
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. MIS quarterly, 12(1), 157-178.
Watanabe, C., Naveed, K., & Neittaanmäki, P. (2017). Co-evolution between trust in teachers and higher education toward digitally-rich learning environments. Technology in Society, 48, 70-96.
Xu, H., & Gupta, S. (2009). The effects of privacy concerns and personal innovativeness on potential and experienced customers’ adoption of location-based services. Electronic Markets, 19(2-3), 137-149.
Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142.
Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the role of individual innovativeness in the acceptance of IT‐based innovations: Comparative analyses of models and measures. Decision Sciences, 37(3), 393-426.
Zarmpou, T., Saprikis, V., & Vlachopoulou, M. (2011). Examining behavioral intention toward mobile services: An empirical investigation in Greece. International Journal of E-Services and Mobile Applications (IJESMA), 3(2), 1-19.