1. Abdullah, M. S., & Toycan, M. (2017). Analysis of the factors for the successful e-learning services adoption from education providers’ and students’ perspectives: A case study of private universities in Northern Iraq. EURASIA Journal of Mathematics, Science and Technology Education, 14(3), 1097-1109.
2. Aguilera-Hermida, A. P. (2020). College students’ use and acceptance of emergency online learning due to Covid-19. International Journal of Educational Research Open, 1, 100011.
3. Al-alak, B. A., & Alnawas, I. A. (2011). Measuring the acceptance and adoption of e-learning by academic staff. Knowledge Management & E-Learning: An International Journal, 3(2), 201-221.
4. Al-Busaidi, K. A., & Al-Shihi, H. (2010). Instructors' acceptance of learning management systems: A theoretical framework. Communications of the IBIMA, 2010(2010), 1-10.
5. Al-Busaidi, K.A., & Al-Shihi, H. (2011). Key factors to instructors’ satisfaction of learning management systems in blended learning. Journal of Computing In Higher Education, 24(1), 18-39.
6. Al-Busaidi, K. A., & Al-Shihi, H. (2012). Key factors to instructors’ satisfaction of learning management systems in blended learning. Journal of Computing in Higher Education, 24(1), 18-39.
7. Alhumaid, K., Ali, S., Waheed, A., Zahid, E., & Habes, M. (2020). COVID-19 & Elearning: Perceptions &Attitudes of Teachers towards E-Learning Acceptance in the Developing Countries. Multicultural Education, 6(2).
8. Al-Rahmi, W. M., Othman, M. S., & Yusuf, L. M. (2015). The effectiveness of using e-learning in Malaysian higher education: A case study Universiti Teknologi Malaysia. Mediterranean Journal of Social Sciences, 6(5), 625-625.
9. Ali, W. (2020). Online and remote learning in higher education institutes: A necessity in light of COVID-19 pandemic. Higher Education Studies, 10(3), 16-25.
10. Amin, H. (1970). Internet banking adoption among young intellectuals. The Journal of Internet Banking and Commerce, 12(3), 1-13.
11. Aristovnik, A., Keržic, D., Tomaževic, N., & Umek, L. (2016). Determining Factors of Students' Perceived Usefulness of E-Learning in Higher Education. International Association for Development of the Information Society.
12. Attis, J. (2014). An investigation of the variables that predict teacher e-learning acceptance.
13. Aypay, A., Celik, H. C., & Sever, M. (2012). Technology Acceptance in Education: A Study of Pre-Service Teachers in Turkey. Turkish Online Journal of Educational Technology-TOJET, 11(4), 264-272.
14. Ball, D. M., & Levy, Y. (2008). Emerging educational technology: Assessing the factors that influence instructors’ acceptance in information systems and other classrooms. Journal of Information Systems Education, 19(4), 431.
15. Brown, H. D. (2000). Principles of language learning and teaching (Vol. 4). New York: Longman.
16. Chang, S. E. (2005). Computer anxiety and perception of task complexity in learning programming-related skills. Computers in Human Behavior, 21(5), 713-728.
17. Cheok, M. L., Wong, S. L., Ayub, A. F., & Mahmud, R. (2017). Teachers’ perceptions of e-learning in Malaysian Secondary Schools. Malaysian Online Journal of Educational Technology, 5(2), 20-33.
18. Coman, C., Țîru, L. G., Meseșan-Schmitz, L., Stanciu, C., & Bularca, M. C. (2020). Online Teaching and Learning in Higher Education during the Coronavirus Pandemic: Students’ Perspective. Sustainability, 12(24), 10367.
19. Daud, M. Y., Khalid, F., Ahmad, M., Abd Rahman, M. J., & Karim, A. A. (2016). “To Participate or Not?”: Identifying the Factors Affecting University Students’ Participation in an e-Forum. Creative Education, 7(18), 2791-2802.
20. Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2016). Perceived ease of use and perceived usefulness of social media for e-learning in Libyan higher education: A structural equation modeling analysis. International Journal of Information and Education Technology, 6(3), 192.
21. Endut, A., Isa, P. M., Aziz, S. R. A., Jono, M. N. H. H., & Aziz, A. A. (2012). E-Learning for Universiti Teknologi MARA Malaysia (UiTM): Campus wide implementation and accomplishments. Procedia-Social and Behavioral Sciences, 67, 26-35.
22. Engin, M. (2017). Analysis of Students' Online Learning Readiness Based on Their Emotional Intelligence Level. Universal Journal of Educational Research, 5(n12A), 32-40.
23. Eslaminejad, T., Masood, M., & Ngah, N. A. (2010). Assessment of instructors’ readiness for implementing e-learning in continuing medical education in Iran. Medical teacher, 32(10), e407-e412.
24. Haron, H., Abbas, W. F., & Abd Rahman, N. A. (2012). The adoption of blended learning among Malaysian academicians. Procedia-Social and Behavioral Sciences, 67, 175-181.
25. Hasan, B. (2007). Examining the effects of computer self-efficacy and system complexity on technology acceptance. Information Resources Management Journal (IRMJ), 20(3), 76-88.
26. Hong, K. S., & Koh, C. K. (2002). Computer anxiety and attitudes toward computers among rural secondary school teachers: A Malaysian perspective. Journal of Research on Technology in Education, 35(1), 27-48.
27. Hung, M. L. (2016). Teacher readiness for online learning: Scale development and teacher perceptions. Computers & Education, 94, 120-133.
28. Ismail, N. S., Bakar, N. M. A., & Wafa, S. W. W. S. S. T. (2020). Online Learning Challenges during Pandemic COVID-19 in Malaysian Higher Learning Institution. Universal Journal of Educational Research, 8(12), 7151-7159. 10.13189/ujer.2020.081282
29. Ismail, M. A., Mahmud, R., Nor, N. M., Ahmad, J., & Rahman, M. J. A. (2011). Computer Self Efficacy: Teacher Readiness in Accepting Malaysian EduwebTV.
30. Kisanga, D. (2016). Determinants of teachers’ attitudes towards e-learning in Tanzanian higher learning institutions. International Review of Research in Open and Distributed Learning: IRRODL, 17(5), 109-125.
31. Li, C., & Lalani, F. (2020, April). The COVID-19 pandemic has changed education forever. This is how. In World economic forum (Vol. 29).
32. Liu, L., Jones, P. E., & Sadera, W. A. (2010). An investigation on experienced teachers’ knowledge and perceptions of instructional theories and practices. Computers in the Schools, 27(1), 20-34.
33. News, N. and Trillion, M. (2018). Malaysia’s E-Learning Income Is Expected to Exceed USD 2 Trillion – the Daily Blaze. Retrieved from https://www.thedailyblaze.com/malaysias-e-learning-income-is-expected-to-exceed-usd-2-trillion/
34. Nikian, S., Nor, F. M., & Aziz, M. A. (2013). Malaysian teachers’ perception of applying technology in the classroom. Procedia-Social and Behavioral Sciences, 103, 621-627.
35. Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning. Journal of Educational Technology & Society, 12(3), 150-162.
36. Park, J. H., & Choi, H. J. (2009). Factors influencing adult learners' decision to drop out or persist in online learning. Journal of Educational Technology & Society, 12(4), 207-217.
37. Phan, T. T. N., & Dang, L. T. T. (2017). Teacher readiness for online teaching: A critical review. International Journal Open Distance E-Learn. IJODeL, 3(1), 1-16.
38. Radin Salim, K., Abdullah, M., Liza Ali, N., & Ali, R. (2018). Usage of Online Learning Resources among Academic Staff at a Malaysian University. International Journal of Engineering & Technology, 7(3), 1.10.14419/ijet.v7i3.30.18143
39. Rogers, E. M. (2002). Diffusion of preventive innovations. Addictive behaviors, 27(6), 989-993.
40. Rusu, R. F., & Shen, K. N. (2011). An empirical study on e-banking acceptance in the United Arab Emirates (UAE).
41. Rusdin, N. M. (2018). Teachers’ readiness in implementing 21st century learning. International Journal of Academic Research in Business and Social Sciences, 8(4), 1293-1306.
42. Salleh, M. F. M. (2008). E-learning issues in Malaysian higher education.
43. Setyarini, M. C. E. (2018). Understanding Teachers’ Computer Anxiety. ETERNAL (English Teaching Journal), 6(1).
44. Tabak, F., & Nguyen, N. T. (2013). Technology acceptance and performance in online learning environments: Impact of self-regulation. Technology, 9(1), 116-130.
45. Teo, T. (2010). Development and validation of the E-learning Acceptance Measure (ElAM). The Internet and Higher Education, 13(3), 148-152.
46. Teo, T. (2012). Modelling the Influences of Beliefs on Pre-Service Teachers' Attitudes towards Computer Use. European Journal of Educational Research, 1(1), 13-22.
47. Teo, T. (2014). Unpacking teachers' acceptance of technology: Tests of measurement invariance and latent mean differences. Computers & Education, 75, 127-135.
48. Veloo, A., Krishnasamy, H. N., & Md-Ali, R. (2015). Teachers' Knowledge and Readiness towards Implementation of School Based Assessment in Secondary Schools. International Education Studies, 8(11), 193-203.
49. Watkins, R. (2005). Preparing e-learners for online success. Learning Circuits: ASTD. Retrieved from http://www.learningcircuits.org/2005/Watkins.htm.
50. Wong, K. T., Teo, T., & Russo, S. (2012). Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model. Australasian Journal of Educational Technology, 28(7).
51. Yiong, B. L. C., Sam, H. K., & Wah, T. K. (2008). Acceptance of e-learning among distance learners: A Malaysian perspective. In Proceedings: Ascilite Conference.
52. Yoon, C., & Kim, S. (2007). Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN. Electronic Commerce Research and Applications, 6(1), 102-112.