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Determinant of Satisfaction in E-learning Usage: An Evidence in Malaysian Higher Institution

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Book cover Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014)

Abstract

The growing use of internet technologies has changed the way business is done, as well as the field of education. E-learning is one of the major discipline that have been discussed in previous studies. However, one major issue in e-learning acceptance is the reasons why some learners are dissatisfied with the e-learning experience This study examined the relationship between system quality, information quality and service quality on behavioral intention. A total of 427 Malaysian local university students were surveyed using a standard questionnaire. The results showed that system quality, information quality, and service quality are determinants of behavioral intention. The results of the study suggest empirical justification for the developers and practitioners to purify the information management strategies in Malaysia.

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References

  • Adeyinka, T., & Mutula, S. (2010). A proposed model for evaluating the success of WebCT course content management system. Computers in Human Behavior, 26(6), 1795–1805.

    Article  Google Scholar 

  • Baturay, M. (2011). Relationships among sense of classroom community, perceived cognitive learning and satisfaction of students at an e-learning course. Interactive Learning Environments, 19(5), 563–575.

    Article  Google Scholar 

  • Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.

    Article  Google Scholar 

  • Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J. J., & Ciganek, A. P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), 843–855.

    Article  Google Scholar 

  • Chang, C.-C. (2013a). Examining users′ intention to continue using social network games: A flow experience perspective. Telematics and Informatics, 30(4), 311–321.

    Article  Google Scholar 

  • Chang, C.-C. (2013b). Exploring the determinants of e-learning systems continuance intention in academic libraries. Library Management, 34(1/2), 40–55.

    Article  Google Scholar 

  • Chiu, C.-M., Hsu, M.-H., Sun, S.-Y., Lin, T.-C., & Sun, P.-C. (2005). Usability, quality, value and e-learning continuance decisions. Computers & Education, 45(4), 399–416.

    Article  Google Scholar 

  • Chiu, C.-M., Sun, S.-Y., Sun, P.-C., & Ju, T. L. (2007). An empirical analysis of the antecedents of web-based learning continuance. Computers & Education, 49(4), 1224–1245.

    Article  Google Scholar 

  • 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.

    Google Scholar 

  • Doong, H.-S., & Lai, H. (2008). Exploring usage continuance of e-negotiation systems: expectation and disconfirmation approach. Group Decision and Negotiation, 17(2), 111–126.

    Article  Google Scholar 

  • Freeze, R. D., Alshare, K. A., Lane, P. L., & Joseph Wen, H. (2010). IS success model in e-learning context based on students’ perceptions. Journal of Information Systems Education, 21(2), 173.

    Google Scholar 

  • 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.

    Article  Google Scholar 

  • Lee, Y., & Kwon, O. (2011). Intimacy, familiarity and continuance intention: An extended expectation–confirmation model in web-based services. Electronic Commerce Research and Applications, 10(3), 342–357.

    Article  Google Scholar 

  • Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model. Computers & Education, 61, 193–208.

    Article  Google Scholar 

  • Lemos, S., & Pedro, N. (2012). Improving the quality of e-learning courses in higher education through student satisfaction. Paper presented at the Proceedings of World Academy of Science, Engineering and Technology.

    Google Scholar 

  • Liao, C., Palvia, P., & Chen, J.-L. (2009). Information technology adoption behavior life cycle: Toward a technology continuance theory (TCT). International Journal of Information Management, 29(4), 309–320.

    Article  Google Scholar 

  • Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469.

    Article  Google Scholar 

  • Park, S., Zo, H., Ciganek, A. P., & Lim, G. G. (2011). Examining success factors in the adoption of digital object identifier systems. Electronic Commerce Research and Applications, 10(6), 626–636.

    Article  Google Scholar 

  • Ramayah, T., Ahmad, N. H., & Lo, M.-C. (2010). The role of quality factors in intention to continue using an e-learning system in Malaysia. Procedia—Social and Behavioral Sciences, 2(2), 5422–5426.

    Article  Google Scholar 

  • Siritongthaworn, S., & Krairit, D. (2006). Satisfaction in e-learning: The context of supplementary instruction. Campus-Wide Information Systems, 23(2), 76–91.

    Article  Google Scholar 

  • Tella, A. (2011). Reliability and factor analysis of a blackboard course management system success: A scale development and validation in an educational context. Journal of Information Technology Education, 10, 55–80.

    Google Scholar 

  • Teo, T. (2010). A structural equation modelling of factors influencing student teachers’ satisfaction with e-learning. British Journal of Educational Technology, 41(6), E150–E152.

    Article  Google Scholar 

  • van Raaij, E. M., & Schepers, J. J. L. (2008). The acceptance and use of a virtual learning environment in China. Computers & Education, 50(3), 838–852.

    Article  Google Scholar 

  • Wang, H. C., & Chiu, Y. F. (2011). Assessing e-learning 2.0 system success. Computers & Education, 57(2), 1790–1800.

    Article  Google Scholar 

  • Yeung, P., & Jordan, E. (2007). The continued usage of business e-learning courses in Hong Kong corporations. Education and Information Technologies, 12(3), 175–188.

    Article  Google Scholar 

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Correspondence to Fahmi Zaidi Bin Abdul Razak .

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Abdul Razak, F.Z.B., Abu Bakar, A., Abdullah, W.S.W., Abdullah, M.A. (2016). Determinant of Satisfaction in E-learning Usage: An Evidence in Malaysian Higher Institution. In: Abdullah, M., Yahya, W., Ramli, N., Mohamed, S., Ahmad, B. (eds) Regional Conference on Science, Technology and Social Sciences (RCSTSS 2014). Springer, Singapore. https://doi.org/10.1007/978-981-10-1458-1_35

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  • DOI: https://doi.org/10.1007/978-981-10-1458-1_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1456-7

  • Online ISBN: 978-981-10-1458-1

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