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Cited by 396

The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.

User experience, satisfaction, and continual usage intention of IT

Deng, Liqiong, Turner, Douglas E, Gehling, Robert, Prince, Brad·2010·European Journal of Information Systems

Abstract

The purpose of this paper is to develop and test a research model that investigates the effects of user experience with information technology (IT) on user satisfaction with and continual usage intention of the technology. The research model uses the concept of cognitive absorption (CA) to conceptualize the optimal holistic experience that users feel when using IT. A set of hypotheses are proposed regarding the direct and indirect effects of CA on user satisfaction through the perceived utilitarian and hedonic performance and expectation disconfirmation of IT. An online survey was conducted to test the model and its associated hypotheses. The results provided support for the hypothesized effects of CA and indicated its importance for the formation of post-adoption satisfaction and continuance intention with IT.

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Registry

Crossref · 10.1057/ejis.2009.50

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Metadata

Authors
Deng, L., Turner, D. E., Gehling, R., & Prince, B.
Venue
European Journal of Information Systems
Published
2010-02
Volume
19
Issue
1
Pages
60-75
ISSN
  • 0960-085X (ISSN-L)
  • 1476-9344
OpenAlex
W2083703821
Cited by
396
References
91
FWCI
33.25
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: User experience, satisfaction, and continual usage intention of IT. https://app.cochat.ai/papers/10.1057/ejis.2009.50
The paper
Deng, L., Turner, D. E., Gehling, R., & Prince, B. (2010). User experience, satisfaction, and continual usage intention of IT. European Journal of Information Systems. https://doi.org/10.1057/ejis.2009.50

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.