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Erschienen in: Information Systems and e-Business Management 2/2012

01.06.2012 | Original Article

An investigation of the effect of online consumer trust on expectation, satisfaction, and post-expectation

verfasst von: Dan J. Kim

Erschienen in: Information Systems and e-Business Management | Ausgabe 2/2012

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Abstract

This study proposes a framework regarding the relationship between consumer trust, satisfaction, expectation, and post-expectation in the context of electronic commerce. In particular, the framework draws together from three theories: social exchange theory, expectation-confirmation theory, and post-acceptance model of IS continuance. Following the longitudinal pre-purchase and post-purchase stages, this study provides a theoretical framework combining trust, expectation, satisfaction, and post-expectation (i.e., perceived usefulness) and tests the proposed model empirically using Internet consumer behavior data collected via two rounds of Web surveys. The empirical findings suggest that both consumer’s trust and expectation have positive influences on consumer’s satisfaction; a significant and positive relationship is detected between consumer’s trust and expectation; customer’s satisfaction and perceived usefulness as post-expectation belief are important predictors of repurchase intention. In consequence, the study provides a framework explaining the subsequent relationships of trust, expectation, confirmation, satisfaction, post-expectation, and repurchase intention (i.e., consumer trust → expectation → confirmation → satisfaction → post-expectation → repurchase intention) across pre-purchase and post-purchase stages. Theoretical and practical implications are discussed.

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Fußnoten
1
This theory is also named “Disconfirmation of Expectations Theory” or “Expectation Confirmation and Disconfirmation Theory.”
 
2
In this definition, the selling party or entity refers to a firm including its website because all e-commerce transactions go through the website.
 
3
SmartPLS is a relatively new and easy to use software application for the design of structural equation models (SEM) that allows graphical path modeling with latent variables (see http://​www.​smartpls.​com).
 
4
Since the number of maximum arrowheads in the research model that point to satisfaction is three, this study has enough number of samples to test the proposed model.
 
5
\( {\text{Composite}}\,{\text{reliability}} = {\frac{{\left( {\sum {\lambda i} } \right)^{2} \text{var} F}}{{\left( {\sum {\lambda i} } \right)^{2} \text{var} F + \sum {\Uptheta ii} }}} \).
 
6
\( {\text{GoF}} = \sqrt {\overline{\text{Communality}} \times \overline{{R^{2} }} } \), in line with the effect sizes for R 2 (small: .02; medium: .13; large: .26) prposed by Cohen (1988), Tenenhausa et al. (2005) suggested following GoF criteria for small, medium, and larger effect sizes of R 2; GoFsmall = .1, GoFmedium =.25, and GoFlarge = .36. .
 
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Metadaten
Titel
An investigation of the effect of online consumer trust on expectation, satisfaction, and post-expectation
verfasst von
Dan J. Kim
Publikationsdatum
01.06.2012
Verlag
Springer-Verlag
Erschienen in
Information Systems and e-Business Management / Ausgabe 2/2012
Print ISSN: 1617-9846
Elektronische ISSN: 1617-9854
DOI
https://doi.org/10.1007/s10257-010-0136-2

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