___

• Alsabawy, A. Y., Cater-Steel, A., Soar, J. (2013). IT infrastructure services as a requirement for e-learning system success. Computers & Education, 69, 431-451.
• Arbaugh, J. B. (2002). Managing the on-line classroom: A study of technological and behavioral characteristics of web-based MBA courses. The Journal of High Technology Management Research, 13(2), 203-223.
• Cavus, N., Uzunboylu, H., Ibrahim, D. (2009). Student opinion towards using an open source learning management system together with a collaborative tool. Cypriot Journal of Educational Sciences, 3(2), 120-129.
• Chau, P. Y., Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699- 719.
• Chen, H. J. (2010). Linking employees’ e-learning system use to their overall job outcomes: An empirical study based on the IS success model. Computers & Education, 55(4), 1628-1639.
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
• 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 update. Journal of Management Information Systems, 19(4), 9-30.
• Ferdousi, B. J. (2009). A study of factors that affect instructors’ intention to use e-learning systems in two-year colleges, PhD. Thesis, Nova Southeastern University.
• Freeze, R. D., Alshare, K. A., Lane, P. L., Joseph Wen, H. (2010). IS success model in elearning context based on students' perceptions. Journal of Information Systems Education, 21(2), 173.
• Fornell, C., Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
• Hair, J., Black, W., Babin, B., Anderson, R., Tatham, R. (2006). Multivariate Data Analysis, (6th edn). Upper Saddle River, New Jersey: Pearson Prentice Hall. Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. (2010). Multivariate Data Analysis, (7th edn). Prentice Hall, Upper Saddle River, New Jersey.
• Halawi, L. A., McCarthy, R. V., Aronson, J. E. (2007). An Empirical Investigation of Knowledge Management Systems' success. The Journal of Computer Information Systems, 48(2), 121-136.
• Hassanzadeh, A., Kanaani, F., Elahi, S. (2012). A model for measuring e-learning systems success in universities. Expert Systems with Applications, 39(12), 10959- 10966.
• Holsapple, C. W., Lee-Post, A. (2006). Defining, Assessing, and Promoting E-Learning Success: An Information Systems Perspective. Decision Sciences Journal of Innovative Education, 4(1), 67-85.
• Hooper, D., Coughlan, J., Mullen, M. R. (2008). Structural equation modelling: Guidelines for determining model fit. The Electronic Journal of Business Research Methods, 6, 53–60.
• Islam, A. K. M. (2012). The Role of Perceived System Quality as Educators’ Motivation to Continue E-learning System Use. AIS Transactions on Human-Computer Interaction, 4(1), 25-43.
• Islam, A. N. (2013). Investigating e-learning system usage outcomes in the university context. Computers & Education, 69, 387-399.
• Kanuka, H., Anderson, T. (2008). Ethical issues in qualitative e-learning research. International Journal of Qualitative Methods, 6(2), 20-39.
• Kettinger, W. J., Lee, C. C. (1994). Perceived service quality and user satisfaction with the information services function. Decision Sciences, 25(5-6), 737-766.
• Kim, J., Lee, J., Han, K., Lee, M. (2002). Businesses as buildings: Metrics for the architectural quality of Internet businesses. Information Systems Research, 13(3), 239-254.
• Kulkarni, U. R., Ravindran, S., Freeze, R. (2006). A knowledge management success model: Theoretical development and empirical validation. Journal of Management Information Systems, 23(3), 309-347.
• Latchem, C., Özkul, A. E., Aydin, C. H., Mutlu, M. E. (2006). The Open Education System, Anadolu University, Turkey: E-transformation in a mega-university. Open Learning, 21(3), 221-235.
• Lee, J. K., Lee, W. K. (2008). The relationship of e-Learner’s self-regulatory efficacy and perception of e-Learning environmental quality. Computers in Human Behavior, 24(1), 32-47.
• Lin, H. F. (2007). Measuring online learning systems success: Applying the updated DeLone and McLean model. Cyberpsychology & Behavior, 10(6), 817-820.
• Lee-Post, A. (2009). e-Learning Success Model: An Information Systems Perspective. Electronic Journal of e-Learning, 7(1), 61-70.
• Leidner, D. E., Kayworth, T. (2006). Review: a review of culture in information systems research: toward a theory of information technology culture conflict. MIS Quarterly, 30(2), 357-399.
• Livari, J. (2005). An empirical test of the DeLone-McLean model of information system success. ACM Sigmis Database, 36(2), 8-27.
• Jarvis, P. (2009). The routhledge international handbook of lifelong learning. NY: Routledge Publishing.
• Mtebe, J. S., Raisamo, R. (2014). Challenges and instructors’ intention to adopt and use open educational resources in higher education in Tanzania. The International Review of Research in Open and Distributed Learning, 15(1), 249-271.
• Petter, S., DeLone, W., McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236-263.
• Soliman, K. S., Mao, E., & Frolick, M. N. (2000). Measuring user satisfaction with data warehouses: an exploratory study. Information & Management, 37(3), 103-110.
• Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253.
• Soliman, K. S., Mao, E., Frolick, M. N. (2000). Measuring user satisfaction with data warehouses: an exploratory study. Information & Management, 37(3), 103-110.
• Petter, S., DeLone, W., McLean, E. (2008). Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17(3), 236-263.
• Petter, S., McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 46(3), 159-166.
• Rai, A., Lang, S. S., Welker, R. B. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13(1), 50-69.
• Ramayah, T., & Lee, J. W. C. (2012). System Characteristics, Satisfaction and ELearning Usage: A Structural Equation Model (SEM). Turkish Online Journal of Educational Technology-TOJET, 11(2), 196-206.
• Roca, J. C., Chiu, C. M., Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human-Computer Studies, 64(8), 683-696.
• Wang, Y. S. (2003). Assessment of learner satisfaction with asynchronous electronic learning systems. Information & Management, 41(1), 75
• Wang, Y. S. (2008). Assessing e-commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18(5), 529-557.
• Wang, Y. S., & Liao, Y. W. (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25(4), 717-733.
• Wang, Y. S., Wang, H. Y., & Shee, D. Y. (2007). Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, 23(4), 1792-1808.