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With the advent of information and communication technology, more and more industries are emphasizing on the use of e-learning methods in order to train employees without incurring much training cost. Although organizations are investing in building infrastructure to support e-learning method, it becomes important to understand the user satisfaction and their continuance intention to use e-learning method for trainings. This research study tries to analyze the relationship between user satisfaction and continuance intention. The data are collected from 260 respondents in Indian telecom sector majorly from the National Capital Territory (NCT) region through structured questionnaires. The data are analyzed through ordinal logistic regression technique (OLR) using SPSS version 20. The result indicates that motivation is the major factor that affects user satisfaction. This chapter also demonstrates the significant relation between user satisfaction and continuance intention.
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Abaidoo, N., & Arkorful, V. (2014). The role of e-learning, the advantages and disadvantages of its adoption in Higher Education. International Journal of Education and Research, 2(12). ISSN: 2201-6333 (Print), ISSN: 2201-6740 (Online) www.ijern.com
Alqurashi, E. (2016). Self-efficacy in online learning environments: A literature review. Contemporary Issues in Education Research, 9, 45–52. CrossRef
Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125–143. CrossRef
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation confirmation model. MIS Quarterly, 25(3), 351–370. CrossRef
DeVellis, R. F. (2012). Scale development: Theory and applications (pp. 109–110). Los Angeles: Sage.
Long, L. K., DuBois, C. Z., & Faley, R. H. (2008). Online training: The value of capturing trainee reactions. Journal of Workplace Learning, 20(1), 21–37. CrossRef
Mohammadyari, S., & Singh, H. (2015). Understanding the effect of e-learning on individual performance: The role of digital literacy. Computers & Education, 82, 11–25. CrossRef
Oliver, R. L. (1980). A cognitive model for the antecedents and consequences of satisfaction. Journal of Marketing Research, 17(4), 460–469. CrossRef
Oluborode K. D., & Olofintuyi, I. O. (2014). E-learning and ICT: Advantages and challenges. In A developing educational system. E-technology & e-learning in Nigeria education. Conference: Engineering Conference, Federal Polytechni, Ado-Ekiti, Ekiti State., At Ado-Ekiti, Ekiti State, Nigeria., Volume: 9th Edition.
Pande, D., Wadhai, V. M., & Thakare, V. M. (2016). E-learning system and higher education. International Journal of Computer Science and Mobile Computing, 5(2), 274–280.
Ramayah, T., Ahmad, N. H., & Hong, T. S. (2012). An assessment of e-training effectiveness in multinational companies in Malaysia. Educational Technology & Society, 15(2), 125–137.
Ramayah, T., & Lee, J. W. C. (2012). System characteristics, satisfaction and e-learning usage: A Structural Equation Model (SEM). TOJET: The Turkish Online Journal of Educational Technology, 11(2), 196–206.
Wang, W. (2010). How personality affects continuance intention: An empirical investigation of instant messaging. PACIS 2010 Proceedings, 113. Retrieved from http://aisel.aisnet.org/pacis2010/113
Weng, C., Tsai, C. C., & Weng, A. (2015). Social support as a neglected e-learning motivator affecting trainee’s decisions of continuous intentions of usage. Australasian Journal of Educational Technology, 31(2), 177–192. CrossRef
- Effect of Computer Efficacy, Motivation and User Satisfaction on Continuance Intention of E-Training System
- Chapter 19
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