References
- Aditya, B., & Permadi, A. (2018). Implementation of UTAUT model to understand the use of virtual classroom principle in higher education. Paper Presented at the Journal of Physics: Conference Series, 8(1). https://iopscience.iop.org/article/10.1088/1742-6596/978/1/012006/meta
- Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Kuhl J., Beckmann J. (Eds.), Action control (pp. 11–39). Springer
- Akbulut, A. Y., Dick, G., Clary, G., & Van Slyke, C. (2020). AIS SIGED International Conference on Information Systems Education and Research, Online classes - who will want them. Association for Information Systems.
- Almaiah, M. A., Alamri, M. M., & Al-Rahmi, W. (2019). Applying the UTAUT model to explain the students’ acceptance of mobile learning system in higher education. IEEE Access, 7, 174673–174686. https://doi.org/10.1109/ACCESS.2019.2957206
- Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2020). Fear from COVID-19 and technology adoption: The impact of Google Meet during Coronavirus pandemic. Interactive Learning Environments, 1–16. https://doi.org/10.1080/10494820.2020.1830121
- Al-Okaily, M., Alqudah, H., Matar, A., Lutfi, A., & Taamneh, A. (2020). Impact of Covid-19 pandemic on acceptance of elearning system in Jordan: A case of transforming the traditional education systems. Humanities and Social Sciences Review, 6(4), 840–851. https://doi.org/10.18510/hssr.2020.8483
- Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49(2), 155–173. https://doi.org/10.1007/BF02294170
- Arora, A. K., & Srinivasan, R. (2020). Impact of pandemic COVID-19 on the teaching – learning process : A study of higher education teachers. Prabandhan: Indian Journal of Management, 13(4), 43–56. https://doi.org/10.17010/pijom/2020/v13i4/151825
- Attuquayefio, S., & Addo, H. (2014). Using the UTAUT model to analyze students’ ICT adoption. International Journal of Education and Development Using ICT, 10(3). https://www.learntechlib.org/p/148478/
- Ayaz, A., & Yanartaş, M. (2020). An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behavior Reports, 2, 100032. https://doi.org/10.1016/j.chbr.2020.100032
- Bandura, A. (1986). Social foundations of thought and action (pp. 23–28). Prentice-Hall, Inc.
- Bao, W. (2020). COVID‐19 and online teaching in higher education: A case study of Peking University. Human Behavior and Emerging Technologies, 2 (2), 113–115. https://doi.org/10.1002/hbe2.191.
- Bervell, B., & Arkorful, V. (2020). LMS-enabled blended learning utilization in distance tertiary education: Establishing the relationships among facilitating conditions, voluntariness of use and use behaviour. International Journal of Educational Technology in Higher Education, 17(1), 1–16. https://doi.org/10.1186/s41239-020-0183-9
- Borkovich, D. J., Skovira, R. J., & Breese-Vitelli, J. (2015). New technology adoption: Embracing cultural influences. Issues in Information Systems, 16(3), 138–147. https://doi.org/10.48009/3_iis_2015_138-147
- Bradley, H. (1998). Gender and power in the workplace: Analysing the impact of economic change. Women and Men at Work: Gender, Inequality and Jobs, 57. Macmillan International Higher Education.
- Chan, C. (2020). The role of communications in crisis management in public administration. California State University.
- Chao, C.-M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1652. https://doi.org/10.3389/fpsyg.2019.01652
- Clark, R. C., & Mayer, R. E. (2016). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. john Wiley & sons.
- Dajani, D., & Hegleh, A. S. A. (2019). Behavior intention of animation usage among university students. Heliyon, 5(10), e02536. https://doi.org/10.1016/j.heliyon.2019.e02536
- Dakduk, S., Santalla-Banderali, Z., & van der Woude, D. (2018). Acceptance of blended learning in executive education. SAGE Open, 8(3), 2158244018800647. https://doi.org/10.1177/2158244018800647
- Dasgupta, S., & Gupta, B. (2019). Espoused organizational culture values as antecedents of internet technology adoption in an emerging economy. Information & Management, 56(6), 103142. https://doi.org/10.1016/j.im.2019.01.004
- Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-user Information Systems: Theory and Results. https://dspace.mit.edu/handle/1721.1/15192
- Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
- 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. https://doi.org/10.1287/mnsc.35.8.982
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
- Denison, D. R., & Mishra, A. K. (1995). Toward a theory of organizational culture and effectiveness. Organization Science, 6(2), 204–223. https://doi.org/10.1287/orsc.6.2.204
- Deverell, E., & Olsson, E.-K. (2010). Organizational culture effects on strategy and adaptability in crisis management. Risk Management, 12(2), 116–134. https://doi.org/10.1057/rm.2009.18
- Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5–22. https://doi.org/10.1177/0047239520934018
- Fan, X., & Sivo, S. A. (2005). Sensitivity of fit indexes to misspecified structural or measurement model components: Rationale of two-index strategy revisited. Structural Equation Modeling: A Multidisciplinary Journal, 12(3), 343–367. https://doi.org/10.1207/s15328007sem1203_1
- Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
- Gaskin, J., & Lim, J. (2018). Indirect effects. Retrieved http://statwiki.gaskination.com/index.php?title=Main_Page
- Global Education Monitoring Report. (2020). Retrieved https://en.unesco.org/news/globaleducation-monitoring-gem-report-2020
- Gunasinghe, A., Abd Hamid, J., Khatibi, A., & Azam, S. F. (2019). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106. https://doi.org/10.1108/ITSE-05-2019-0020
- Guo, Y. (2014). Moderating effects of gender in the acceptance of mobile SNS-Based on UTAUT model. Paper presented at the 2014 International Conference on Management of e-Commerce and e-Government, IEEE.
- Hair, J., Anderson, R., Tatham, R., & Black, W. (2006). Multivariate data analysis 6th edition prentice hall.
- Handoko, B. L. (2019). Application of UTAUT theory in higher education online learning. Paper presented at the Proceedings of the 2019 10th International Conference on E-business, Management and Economics. Beijing, China: Association for Computing Machinery.
- Hartl, E., Nawrath, D., & Hess, T. (2018). Refining the Influence of Organizational Culture on Individual IS Adoption. Paper presented at the Proceedings of European Conference on Informatioh Systems 2018
- Isaias, P., Reis, F., Coutinho, C., & Lencastre, J. A. (2017). Empathic technologies for distance/mobile learning. Interactive Technology and Smart Education, 14(2), 159–180. https://doi.org/10.1108/ITSE-02-2017-0014
- Khechine, H., & Augier, M. (2019). Adoption of a social learning platform in higher education: An extended UTAUT model implementation. Paper presented at the Proceedings of the 52nd Hawaii International Conference on System Sciences. Hawaii, USA: University of Hawaii. http://hdl.handle.net/10125/59446
- Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
- Kumar, A., Kumar, P., Palvia, S. C. J., & Verma, S. (2017). Online education worldwide: Current status and emerging trends. Journal of Information Technology Case and Application Research 19(1). https://doi.org/10.1080/15228053.2017.1294867
- Lemov, D. (2020). Teaching in the online classroom: Surviving and thriving in the new normal. John Wiley & Sons.
- Li, Y., Li, J., & Sun, Y. (2013). Young faculty job perceptions in the midst of Chinese higher education reform: The case of Zhejiang University. Asia Pacific Journal of Education, 33(3), 273–294. https://doi.org/10.1080/02188791.2013.787388
- Lloyd, S. A., Byrne, M. M., & McCoy, T. S. (2012). Faculty-perceived barriers of online education. Journal of Online Learning and Teaching, 8(1). https://jolt.merlot.org/vol8no1/lloyd_0312.pdf
- Loehlin, J. C., Neiderhiser, J. M., & Reiss, D. (2003). The behavior genetics of personality and the NEAD study. Journal of Research in Personality, 37(5), 373–387. https://doi.org/10.1016/S0092-6566(03)00012-6
- Magsamen-Conrad, K., Upadhyaya, S., Joa, C. Y., & Dowd, J. (2015). Bridging the divide: Using UTAUT to predict multigenerational tablet adoption practices. Computers in Human Behavior, 50, 186–196. https://doi.org/10.1016/j.chb.2015.03.032
- Maphosa, V., Dube, B., & Jita, T. (2020). A UTAUT evaluation of Whatsapp as a tool for lecture delivery during the COVID-19 lockdown at a Zimbabwean University. International Journal of Higher Education, 9(5), 84–93. https://doi.org/10.5430/ijhe.v9n5p84
- Martin, F., Wang, C., Jokiaho, A., May, B., & Grübmeyer, S. (2019). Examining faculty readiness to teach online: A comparison of US and German educators. European Journal of Open, Distance and E-learning, 22(1), 53–69. https://doi.org/10.2478/eurodl-2019-0004
- Matta, V. (2021). Teaching in the online classroom: Surviving and thriving in the new normal. Journal of Information Technology Case and Application Research, 23(1), 76–80. https://doi.org/10.1080/15228053.2021.1901350
- Mosunmola, A., Mayowa, A., Okuboyejo, S., & Adeniji, C. (2018). Adoption and use of mobile learning in higher education: The UTAUT model. Paper presented at the Proceedings of the 9th International Conference on E-Education, E-Business, E-Management and E-Learning. San Diego, USA: Association for Computing Machinery. https://doi.org/10.1145/3183586.3183595
- Punnett, B. J., & Ricks, D. A. (1992). International business. Pws Publishing Company.
- Pynoo, B., Devolder, P., Tondeur, J., Van Braak, J., Duyck, W., & Duyck, P. (2011). Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study. Computers in Human Behavior, 27(1), 568–575. https://doi.org/10.1016/j.chb.2010.10.005
- Radjou, N., Prahu, J., & Ahuja, S. (2011). Use jugaad to innovate faster, cheaper, better. Harvard Business Review, 8.
- Raman, A., Don, Y., Khalid, R., & Rizuan, M. (2014). Usage of learning management system (Moodle) among postgraduate students: UTAUT model. Asian Social Science, 10(14), 186–192. https://doi.org/10.5539/ass.v10n14p186
- Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2021). Social isolation and acceptance of the learning management system (LMS) in the time of COVID-19 pandemic: An expansion of the UTAUT model. Journal of Educational Computing Research, 59(2), 183–208. https://doi.org/10.1177/0735633120960421
- Response Toolkit for Indian Higher Education Institutions: Institutional Resilience for Academic Planning & Continuity. (2020). Retrieved https://www.aicte-india.org/sites/default/files/COVID19%20Response%20Toolkit.pdf
- Rogers, E. M. (2003). Diffusion of Innovations 5th. In Free Press (pp. 281–332).
- Romero-Rodríguez, J.-M., Alonso-García, S., Marín-Marín, J.-A., & Gómez-García, G. (2020). Considerations on the implications of the Internet of Things in Spanish Universities: The usefulness perceived by professors. Future Internet, 12(8), 123. https://doi.org/10.3390/fi12080123
- Rufai, M., Alebiosu, S., & Adeakin, O. (2015). A conceptual model for virtual classroom management. International Journal of Computer Science, Engineering and Information Technology, 5(1), 27–32. https://doi.org/10.5121/ijcseit.2015.5103
- Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students. Pearson education.
- Schein, E. H. (1990). Organizational culture (Vol. 45). American Psychological Association.
- Schneckenberg, D. (2009). Understanding the real barriers to technology-enhanced innovation in higher education. Educational Research, 51(4), 411–424. https://doi.org/10.1080/00131880903354741
- Segars, A. H. (1997). Assessing the unidimensionality of measurement: A paradigm and illustration within the context of information systems research. Omega, 25(1), 107–121. https://doi.org/10.1016/S0305-0483(96)00051-5
- Sezer, B., & Yilmaz, R. (2019). Learning management system acceptance scale (LMSAS): A validity and reliability study. Australasian Journal of Educational Technology, 35(3). https://doi.org/10.14742/ajet.3959
- Sharma, S. K., Palvia, S. C. J., & Kumar, K. (2017). Changing the landscape of higher education: From standardized learning to customized learning. Journal of Information Technology Case and Application Research, 19(2), 75–80. https://doi.org/10.1080/15228053.2017.1345214
- 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. https://doi.org/10.1016/j.chb.2016.07.037
- Taherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967. https://doi.org/10.1016/j.promfg.2018.03.137
- Tandon, U. (2020). Factors influencing adoption of online teaching by school teachers: A study during COVID‐19 pandemic. Journal of Public Affairs, (e2503). https://doi.org/10.1002/pa.2503
- Tandon, U., Kiran, R., & Sah, A. N. (2016). Customer satisfaction using website functionality, perceived usability and perceived usefulness towards online shopping in India. Information Development, 32(5), 1657–1673. https://doi.org/10.1177/0266666915621106
- Tarhini, A., Hone, K., & Liu, X. (2014). Measuring the moderating effect of gender and age on e-learning acceptance in England: A structural equation modeling approach for an extended technology acceptance model. Journal of Educational Computing Research, 51(2), 163–184. https://doi.org/10.2190/EC.51.2.b
- Teo, T., Sang, G., Mei, B., & Hoi, C. K. W. (2019). Investigating pre-service teachers’ acceptance of Web 2.0 technologies in their future teaching: A Chinese perspective. Interactive Learning Environments, 27(4), 530–546. https://doi.org/10.1080/10494820.2018.1489290
- Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125–143. https://doi.org/10.2307/249443
- Tondeur, J., Aesaert, K., Pynoo, B., van Braak, J., Fraeyman, N., & Erstad, O. (2017). Developing a validated instrument to measure preservice teachers’ ICT competencies: Meeting the demands of the 21st century. British Journal of Educational Technology, 48(2), 462–472. https://doi.org/10.1111/bjet.12380
- Towndrow, P. A., Silver, R. E., & Albright, J. (2010). Setting expectations for educational innovations. Journal of Educational Change, 11(4), 425–455. https://doi.org/10.1007/s10833-009-9119-9
- Trimmer, K., Cellucci, L. W., Wiggins, C., & Woodhouse, W. (2009). Electronic medical records: TAM, UTAUT, and culture. International Journal of Healthcare Information Systems and Informatics (IJHISI), 4(3), 55–68. https://doi.org/10.4018/jhisi.2009070104
- Turoff, M. (1995). Designing a virtual classroom. International Journal of Educational Telecommunications, 1(2), 245–262. https://www.learntechlib.org/primary/p/15162/
- 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. https://doi.org/10.2307/30036540
- Wang, H.-Y., & Wang, S.-H. (2010). User acceptance of mobile internet based on the unified theory of acceptance and use of technology: Investigating the determinants and gender differences. Social Behavior and Personality: An International Journal, 38(3), 415–426. https://doi.org/10.2224/sbp.2010.38.3.415
- Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118. https://doi.org/10.1111/j.1467-8535.2007.00809.x
- Wong, G. K. (2016). The behavioral intentions of Hong Kong primary teachers in adopting educational technology. Educational Technology Research and Development, 64(2), 313–338. https://doi.org/10.1007/s11423-016-9426-9
- World Declaration on Higher Education for the Twenty-First Century: Vision and Action. (1998). Retrieved https://www.jica.go.jp/jica-ri/IFIC_and_JBICI-Studies/english/publications/reports/study/topical/approaches/pdf/higher_02.pdf
- Wu, Y.-L., Tao, Y.-H., & Yang, P.-C. (2008). The use of unified theory of acceptance and use of technology to confer the behavioral model of 3G mobile telecommunication users. Journal of Statistics and Management Systems, 11(5), 919–949. https://doi.org/10.1080/09720510.2008.10701351
- Xie, X., Siau, K., & Nah, F. F. H. (2020). COVID-19 pandemic – Online education in the new normal and the next normal. Journal of Information Technology Case and Application Research, 22(3), 175–187. https://doi.org/10.1080/15228053.2020.1824884