Akter, S., D'ambra, J., & Ray, P. (2011). An evaluation of PLS based complex models: the roles of power analysis, predictive relevance and GoF index. AMCIS 2011 Proceedings - All Submissions. 151. https://aisel.aisnet.org/amcis2011_submissions/151 Al-Mamary, Y. H. S. (2022). Understanding the use of learning management systems by undergraduate university students using the UTAUT model: Credible evidence from Saudi Arabia. International Journal of Information Management Data Insights, 2(2), 100092. DOI:10.1016/j.jjimei.2022.100092 Al-Nuaimi, M. N., & Al-Emran, M. (2021). Learning management systems and technology acceptance models: A systematic review. Education and Information Technologies, 26(5), 5499-5533. DOI:10.1007/s10639-021-10513-3 AL-Nuaimi, M. N., Al Sawafi, O. S., Malik, S. I., Al-Emran, M., & Selim, Y. F. (2022). Evaluating the actual use of learning management systems during the covid-19 pandemic: an integrated theoretical model. Interactive Learning Environments, 1-26. DOI:10.1080/10494820.2022.2055577 Al-Rahmi, W. M., Yahaya, N., Alamri, M. M., Alyoussef, I. Y., Al-Rahmi, A. M., & Kamin, Y. B. (2021). Integrating innovation diffusion theory with technology acceptance model: Supporting students’ attitude towards using a massive open online courses (MOOCs) systems. Interactive Learning Environments, 29(8), 1380-1392. DOI:10.1080/10494820.2019.1629599 Alturki, U., & Aldraiweesh, A. (2021). Application of learning management system (Lms) during the covid-19 pandemic: A sustainable acceptance model of the expansion technology approach. Sustainability, 13(19), 10991. DOI:10.3390/su131910991 Baber, H. (2021). Modelling the acceptance of e-learning during the pandemic of COVID-19-A study of South Korea. The International Journal of Management Education, 19(2), 100503. DOI:10.1016/j.ijme.2021.100503 Barclay, C., Donalds, C., & Osei-Bryson, K. M. (2018). Investigating critical success factors in online learning environments in higher education systems in the Caribbean. Information Technology for Development, 24(3), 582-611. DOI:10.1080/02681102.2018.1476831 Bradley, V. M. (2021). Learning Management System (LMS) use with online instruction. International Journal of Technology in Education, 4(1), 68-92. Cantabella, M., Martínez-España, R., Ayuso, B., Yáñez, J. A., & Muñoz, A. (2019). Analysis of student behavior in learning management systems through a Big Data framework. Future Generation Computer Systems, 90, 262-272. DOI:10.1016/j.future.2018.08.003 Cavus, N. (2013). Selecting a learning management system (LMS) in developing countries: instructors' evaluation. Interactive Learning Environments, 21(5), 419-437. DOI:10.1080/10494820.2011.584321 Cavus, N., Mohammed, Y. B., & Yakubu, M. N. (2021). Determinants of learning management systems during COVID-19 pandemic for sustainable education. Sustainability, 13(9), 5189. DOI:10.3390/su13095189 Chankseliani, M., & McCowan, T. (2021). Higher education and the sustainable development goals. Higher Education, 81(1), 1-8. DOI:10.1007/s10734-020-00652-w Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern methods for business research, 295(2), 295-336. Christopoulos, A., & Sprangers, P. (2021). Integration of educational technology during the Covid-19 pandemic: An analysis of teacher and student receptions. Cogent Education, 8(1), 1964690. DOI:10.1080/2331186X.2021.1964690 Creswell, J. W. (2014). Research design: Quantitative, qualitative, and Mixed methods approaches. SAGE Publications, Inc. Dahiya, S., Jaggi, S., Chaturvedi, K. K., Bhardwaj, A., Goyal, R. C., & Varghese, C. (2016). An elearning system for agricultural education. Indian Research Journal of Extension Education, 12(3), 132-135. Findik-Coşkunçay, D., Alkiş, N., & Özkan-Yildirim, S. (2018). A Structural Model for Students’ Adoption of Learning Management Systems: An Empirical Investigation in the Higher Education Context. Journal of Educational Technology & Society, 21(2), 13–27. http://www.jstor.org/stable/26388376 Granić, A., & Marangunić, N. (2019). Technology acceptance model in educational context: A systematic literature review. British Journal of Educational Technology, 50(5), 2572-2593. DOI:10.1111/bjet.12864 Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. Prentice Hall. Hair, Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage Publications. Hallinger, P., & Chatpinyakoop, C. (2019). A bibliometric review of research on higher education for sustainable development, 1998–2018. Sustainability, 11(8), 2401. DOI:10.3390/su11082401 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, 115-135. DOI:10.1007/s11747-014-0403-8 Huang, F., Teo, T., Sánchez-Prieto, J. C., García-Peñalvo, F. J., & Olmos-Migueláñez, S. (2019). Cultural values and technology adoption: A model comparison with university teachers from China and Spain. Computers & Education, 133, 69-81. DOI:10.1016/j.compedu.2019.01.012 Humida, T., Al Mamun, M. H., & Keikhosrokiani, P. (2022). Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh. Education and information technologies, 27(2), 2241-2265. DOI:10.1007/s10639-021-10707-9 Hussain, M., Ul-Allah, S., Binyameen, M., Jabran, K., & Farooq, M. (2022). COVID-19 and Higher Education in Agriculture Sector of Developing Countries: Impacts and Prospects. Pedagogical Research, 7(1), 100-111. DOI:10.29333/pr/11440 Khan, R. A., & Qudrat-Ullah, H. (2021). Adoption of LMS in higher educational institutions of the Middle East. Springer. Kumar, M., Čepová, L., Raja, M., Balaram, A., & Elangovan, M. (2023). Evaluation of the Quality of Practical Teaching of Agricultural Higher Vocational Courses Based on BP Neural Network. Applied Sciences, 13(2), 1180. DOI:10.3390/app13021180 Maatuk, A. M., Elberkawi, E. K., Aljawarneh, S., Rashaideh, H., & Alharbi, H. (2022). The COVID-19 pandemic and E-learning: challenges and opportunities from the perspective of students and instructors. Journal of computing in higher education, 34(1), 21-38. DOI:10.1007/s12528-021-09274-2 Miah, S. J., Miah, M., & Shen, J. (2020). Editorial note: Learning management systems and big data technologies for higher education. Education and Information Technologies, 25, 725-730. DOI:10.1007/s10639-020-10129-z Mirzayi, K., & Sepahpanah, M. (2021). A Study of E-Learning Maturity in Higher Agricultural Education Using Artificial Neural Network. Interdisciplinary Journal of Virtual Learning in Medical Sciences, 12(2), 117-128. doi: 10.30476/ijvlms.2021.89436.1073 Motaghian, H., Hassanzadeh, A., & Moghadam, D. K. (2013). Factors affecting university instructors' adoption of web-based learning systems: Case study of Iran. Computers & Education, 61, 158-167. DOI:10.1016/j.compedu.2012.09.016 Muthuprasad, T., Aiswarya, S., Aditya, K. S., & Jha, G. K. (2021). Students’ perception and preference for online education in India during COVID-19 pandemic. Social sciences & humanities open, 3(1), 100101. DOI:10.1016/j.ssaho.2020.100101 Pokhrel, S., & Chhetri, R. (2021). A literature review on impact of COVID-19 pandemic on teaching and learning. Higher education for the future, 8(1), 133-141. DOI:10.1177/2347631120983481 Putro, H. P. N., Hadi, S., Rajiani, I., & Abbas, E. W. (2022). Adoption of e-learning in Indonesian higher education: innovation or irritation?. Educational Sciences: Theory & Practice, 22(1), 36-45. Rezaei, M., Mohammadi, H. M., Asadi, A., & Kalantary, K. (2008). Predicting e-learning application in agricultural higher education using technology acceptance model. Turkish Online Journal of Distance Education, 9(1), 85-95. Saunders, M. N. K., Lewis, P., Thornhill, A., & Bristow, A. (2015). Understanding research philosophy and approaches to theory development. In: Saunders, Mark N. K.; Lewis, Philip and Thornhill, Adrian eds. Research Methods for Business Students. Harlow: Pearson Education, pp. 122–161. Smith, K. (2012). Lessons learnt from literature on the diffusion of innovative learning and teaching practices in higher education. Innovations in Education and Teaching International, 49(2), 173-182. DOI:10.1080/14703297.2012.677599 Sulaiman, T. T., Mahomed, A. S. B., Rahman, A. A., & Hassan, M. (2023). Understanding Antecedents of Learning Management System Usage among University Lecturers Using an Integrated TAM-TOE Model. Sustainability, 15(3), 1885. DOI:10.3390/su15031885 Talebian, S., Mohammadi, H. M., & Rezvanfar, A. (2014). Information and communication technology (ICT) in higher education: advantages, disadvantages, conveniences and limitations of applying e-learning to agricultural students in Iran. Procedia-Social and Behavioral Sciences, 152, 300-305. DOI:10.1016/j.sbspro.2014.09.199 Washington, G. Y. (2019). The learning management system matters in face-to-face higher education courses. Journal of Educational Technology Systems, 48(2), 255-275. DOI:10.1177/0047239519874037 Zeng, N., Liu, Y., Gong, P., Hertogh, M., & König, M. (2021). Do right PLS and do PLS right: A critical review of the application of PLS-SEM in construction management research. Frontiers of Engineering Management, 8, 356-369. DOI:10.1007/s42524-021-0153-5
)