A model to measure e-learning systems success

Alsabawy, Ahmed Younis and Cater-Steel, Aileen and Soar, Jeffrey (2012) A model to measure e-learning systems success. In: Measuring organizational information systems success: new technologies and practices. Business Science Reference (IGI Global), Hershey, PA, USA, pp. 293-317. ISBN 978-1-4666-0170-3


E-learning involves adopting and exploiting the potential of new, advanced Information Technology in development and delivery of education. In spite of a rapid growth in the e-learning field there still exists a range of issues facing the stakeholders of e-learning systems. One of the key issues is how to measure e-learning system success. Although considerable attention has been paid to the Information Systems success issue, there remain arguments about the factors which are most effective for measuring
Information System success. The issue of measuring Information System success has an impact on evaluating e-learning systems success. This chapter aims to fill this void by proposing an evaluation methodology model to assess e-learning systems success. The contribution of this study is the proposed model to evaluate the success of e-learning systems. The model is based on a thorough review of the
e-learning success literature and existing Information Systems success models.

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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information: Chapter 15. Permanent restricted access to published version due to publisher copyright policy. Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
Faculty/School / Institute/Centre: Historic - Faculty of Business and Law - School of Information Systems (1 Jan 2011 - 30 June 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Business and Law - School of Information Systems (1 Jan 2011 - 30 June 2013)
Date Deposited: 15 Feb 2012 06:41
Last Modified: 06 Sep 2017 04:18
Uncontrolled Keywords: e-learning systems, e-learning system success, information quality, IT infrastructure, service quality, system success, user satisfaction
Fields of Research : 13 Education > 1301 Education Systems > 130103 Higher Education
08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.4018/978-1-4666-0170-3.ch015
URI: http://eprints.usq.edu.au/id/eprint/20715

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