Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
International Journal of Human-Computer StudiesPublished 21 March 2006
Juan Carlos Roca, Chao‐Min Chiu, Francisco J. Martínez‐López
Citations1,345
SJR quartileQ1
SJR score1.39
SNIP2.34
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TL;DR
The results suggest that users' continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usefulness, information quality, confirmation, service quality, system quality, perceived ease of use and cognitive absorption.
Abstract
Based on the expectancy disconfirmation theory, this study proposes a decomposed technology acceptance model in the context of an e-learning service. In the proposed model, the perceived performance component is decomposed into perceived quality and perceived usability. A sample of 172 respondents took part in this study. The results suggest that users' continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usefulness, information quality, confirmation, service quality, system quality, perceived ease of use and cognitive absorption.
Keywords
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