National Changhua University of Education Institutional Repository : Item 987654321/15918

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NCUEIR > College of Management > Department of Information Management > Periodical Articles > Item 987654321/15918

Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/15918

Title:	Measuring E-Learning Systems Success in an Organizational Context: Scale Development and Validation
Authors:	Wang, Yi-Shun;Wang, Hsiu-Yuan;Shee, Daniel Y.
Contributors:	資訊管理學系
Keywords:	Electronic learning (e-learning);Systems success;Measurement model;Scale development
Date:	2007-07
Issue Date:	2013-04-22T07:34:36Z
Publisher:	Elsevier
Abstract:	Electronic learning (e-learning) has been widely adopted as a promising solution by many companies to offer learning-on-demand opportunities to individual employees in order to reduce training time and cost. While information systems (IS) success models have received much attention among researchers, little research has been conducted to assess the success and/or effectiveness of e-learning systems in an organizational context. Whether traditional IS success models can be extended to investigate e-learning systems success has been scarcely addressed. Based on previous IS success literature, this study developed and validated a multi-dimensional model for assessing e-learning systems success (ELSS) from the perspective of the employee (e-learner). The procedures used in conceptualizing an ELSS construct, generating items, collecting data, and validating a multiple-item scale for measuring ELSS are described. This paper presents evidence of the scale’s factor structure, reliability, content validity, criterion-related validity, convergent validity, and discriminant validity on the basis of analyzing data from a sample of 206 respondents. Theoretical and managerial implications of our results are discussed. This empirically validated instrument will be useful to researchers in developing and testing e-learning systems theories, as well as to organizations in implementing successful e-learning systems.
Relation:	Computers in Human Behavior, 23(4): 1792-1808
Appears in Collections:	[Department of Information Management] Periodical Articles

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