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An Empirical Study on e-Learning Service Quality and Technology Acceptance, the case of C.S. and T.P. corporations.

by Lee, Wen-Pin

Abstract (Summary)
Rocketing development of Web and information technology makes e-Learning a new training tool of companies to reduce time and cost. The e-Learning shows the same as the most adoptions of new technologies and information systems, the users¡¦ acceptance becomes one of the key success factors. As e-Learning a service provided by companies, the employees¡¦ perceived service quality played an important role on adoption. The well-known Technology Acceptance Model ( TAM ) was good at evaluating acceptance in many studies. This paper applied the TAM as a framework to find out the acceptance of employees on e-Learning, and integrated perceived service quality as the antecedents of perceived usefulness ( PU ), perceived ease of use ( PEOU ),and the behavioral intention ( BI ). This empirical study not only explored the factors of service quality which employees perceived, but also find the relationship between the service quality and the acceptance. In order to prove the fitness of the construct model to e-Learning, this research adopts statistical software SPSS to verify the reliability of the measure and make the factor analysis. This study also uses software AMOS as a tool to build and analyze the linear structure model for the latent constructs of the integrated TAM. The objects of this study are employees of e-Learning users in firms. A total amount of 441 valided samples were collected by stratified random sampling from two large corporations of traditional manufacture and utility. Path analyses verified the original path in TAM, and the perceived service quality causes significantly large influence to acceptance in both directly and indirectly positive path. The analyzed results also shows that perceived service quality of e-Learning could be measured by three major dimensions. This empirically integrated TAM will be useful to researchers in developing and testing e-Learning systems, as well as to organizations in implementing successful e-Learning systems.
Bibliographical Information:

Advisor:Che-Hung Lin; Iuan-yuan Lu; Tsuang Kuo

School:National Sun Yat-Sen University

School Location:China - Taiwan

Source Type:Master's Thesis

Keywords:e learning service quality technology acceptance

ISBN:

Date of Publication:06/23/2007

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