How to cite this paper
Masadeh, R., Almajali, D., Alrowwad, A., Alkhawaldeh, R., Khwaldeh, S & Obeid, B. (2023). Evaluation of factors affecting university students' satisfaction with e-learning systems used dur-ing Covid-19 crisis: A field study in Jordanian higher education institutions.International Journal of Data and Network Science, 7(1), 199-214.
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© 2023 by the authors; licensee Growing Science, Canada. This is an open access article dis-tributed under the terms and conditions of the Creative Commons Attribution (CC-BY). li-cense (http://creativecommons.org/licenses/by/4.0/).
Abdullah, F. (2005). HEdPERF versus SERVPERF: The quest for ideal measuring instrument of service quality in higher education sector. Quality Assurance in Education, 13(4), 305-328. https://doi.org/10.1108/09684880510626584
Abdullah, F., & Ward, R. (2016). Developing a general extended technology acceptance model for e-learning (GETA-MEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238-256.
Abu-Taieh, E., Alhadid, I., Alkhawaldeh, R., Khwaldeh, S., Masa’deh, R., Alrowwad, A., & Al-Eidie, R. (2022). An empir-ical study of factors influencing the perceived usefulness and effectiveness of integrating e-learning systems during the COVID-19 pandemic using SEM and ML: a case study in Jordan. Sustainability, 14(20), 13432,
Ahmad, S.Z., Abu Bakar, A.R., & Ahmad, N. (2019). Social media adoption and its impact on firm performance: the case of the UAE. International Journal of Entrepreneurial Behavior & Research, 25(1), 84-111.
Al-Fraihat, D., Joy, M., & Sinclair, J. (2017). Identifying success factors for e-learning in higher education. International conference on e-learning (pp. 247-255). Academic Conferences International Limited.
AlSharji, A., Ahmad, S.Z., & Abu Bakar, A.R. (2018). Understanding social media adoption in SMEs: empirical evidence from the United Arab Emirates. Journal of Entrepreneurship in Emerging Economies, 10(2), 302-328. doi:10.1108/jeee-08-2017-0058
Alves, H., & Raposo, M. (2010). The influence of university image on student behaviour. International Journal of Educa-tional Management, 24(1), 73-85.
Arif, S., & Ilyas, M. (2013). Quality of work‐life model for teachers of private universities in Pakistan. Quality Assurance in Education, 21(3), 282-298. https://doi.org/10.1108/QAE-Feb-2012-0006
Athiyaman, A. (1997). Linking student satisfaction and service quality perceptions: The case of university education. Eu-ropean Journal of Marketing, 31(7), 528-540. https://doi.org/10.1108/03090569710176655
Awang, H., Osman, W.R.S., & Aji, Z.M. (2018). A conceptual model to evaluate virtual learning environment among Ma-laysian teachers. Journal of Telecommunication, Electronic and Computer Engineering, 10(2-4), 59-63.
Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural evaluation models. Journal of the Academy of Marketing Sci-ence, 16(1), 74-94.
Bailey, J.E., & Pearson, S.W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530-545.
Baroudi, J.J., & Orlikowski, W.J. (1988). A short-form measure of user information satisfaction: a psychometric evalua-tion and notes on use. Journal of Management Information Systems, 4(4), 44-59.
Benbasat, I., & Barki, H. (2007). Quo vadis TAM? Journal of the Association for Information Systems, 8(4), 7.
Boud, D., & Prosser, M. (2002). Appraising new technologies for learning: A framework for development. Educational Media International, 39(3-4), 237-245.
Breiman, L. (1996). Bagging predictors. Machine learning, 24, 123-140.
Cheng, Y.M. (2011). Antecedents and consequences of e‐learning acceptance. Information Systems Journal, 21(3), 269-299.
Chien, S.W., & Tsaur, S.M. (2007). Investigating the success of ERP systems: case studies in three Taiwanese high-tech industries. Computers in Industry, 58(8-9), 783-793.
Chin, J.P., Diehl, V.A., & Norman, K.L. (1988). Development of an instrument measuring user satisfaction of the human-computer interface. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems (pp. 213-218).
Chuttur, M.Y. (2009). Overview of the technology acceptance model: origins, developments and future directions. Work-ing Papers on Information Systems, 9(37), 9-37.
Cidral, W.A., Oliveira, T., Di Felice, M., & Aparicio, M. (2018). E-learning success determinants: Brazilian empirical study. Computers and Education, 122, 273-290.
Creswell, J. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd ed., Thousand Oaks: Sage Publications.
Cyert, R.M., & March, J.G. (1963). Englewood Cliffs, NJA behavioral theory of the firm, Vol. 2, 169-187.
Da Silva, I.N., Spatti, D.H., Flauzino, R.A., Liboni, L.H.B., & dos Reis Alves, S.F. (2017). Artificial neural network archi-tectures and training processes. In Artificial neural networks; Springer, pp. 21-28.
Dahlstrom, E., Brooks, D.C., & Bichsel, J. (2014). The current ecosystem of learning management systems in higher edu-cation: Student, faculty, and IT perspectives Research report. Louisville, CO: ECAR.
Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: a comparison of two theo-retical models. Management Science, 35(8), 982-1003.
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
DeLone, W.H., & McLean, E.R. (1992). Information systems success: the quest for the dependent variable. Information Systems Research, 3(1), 60-95.
DeLone, W.H., & McLean, E.R. (2003). The DeLone and McLean model of information systems success: A ten-year up-date. Journal of Management Information Systems, 19(4), 9-30.
Doll, W.J., Deng, X., Raghunathan, T.S., Torkzadeh, G., & Xia, W. (2004). The meaning and measurement of user satis-faction: a multigroup invariance analysis of the end-user computing satisfaction instrument. Journal of Management Information Systems, 21(1), 227-262.
Ehlers, U.D. (2004). Quality in e-learning from a learner's perspective. European Journal of Open, Distance and E-learning, 7(1). https://doi.org/10.4000/dms.2707
Eom, S.B., & Ashill, N.J. (2018). A system's view of e‐learning success model. Decision Sciences Journal of Innovative Education, 16(1), 42-76.
Eom, S.H., Kim, Y.M., & Kim, S.K. (2012). Antimicrobial effect of phlorotannins from marine brown algae. Food and Chemical Toxicology, 50(9), 3251-3255.
Errey, R., & Wood, G. (2011). Lessons from a student engagement pilot study: Benefits for students and academics. Aus-tralian Universities' Review, 53(1), 21-34.
Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the technology acceptance model (TAM) to Examine Faculty Use of Learning Management Systems (LMSs) in higher education institutions. Journal of Online Learning & Teach-ing, 11(2).
Fronell, C., & Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement er-ror. Journal of Marketing Research, 18, 39-50. https://doi.org/10.2307/3151312
Goodhue, D. (1986). IS attitudes: towards theoretical definition and measurement clarity. In L. Maggi, R. Zmudand, & J. Wetherbe (Eds.). Proceedings of seventh international conference on information systems, San Diego, calif (pp. 181-194).
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