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Cited by 225

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Examining the critical success factors of mobile website adoption

Zhou, Tao·2011·Online Information Review

Abstract

Purpose: The purpose of this research is to examine the critical success factors of mobile web site adoption. Design/methodology/approach: Based on the valid responses collected from a questionnaire survey, the structural equation modelling technique was employed to examine the research model. Findings: The results indicate that system quality is the main factor affecting perceived ease of use, whereas information quality is the main factor affecting perceived usefulness. Service quality has significant effects on trust and perceived ease of use. Perceived usefulness, perceived ease of use and trust determine user satisfaction. Practical implications: Mobile service providers need to improve the system quality, information quality and service quality of mobile web sites to enhance user satisfaction. Originality/value: Previous research has mainly focused on e‐commerce web site success and seldom examined the factors affecting mobile web site success. This research fills the gap. The research draws on information systems success theory, the technology acceptance model and trust theory as the theoretical bases.

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Crossref · 10.1108/14684521111161972

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Metadata

Authors
Zhou, T.
Venue
Online Information Review
Publisher
Emerald
Published
2011-08-09
Volume
35
Issue
4
Pages
636-652
ISSN
1468-4527 (ISSN-L)
OpenAlex
W2079212666
Cited by
225
References
14
FWCI
21.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Examining the critical success factors of mobile website adoption. https://app.cochat.ai/papers/10.1108/14684521111161972
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Zhou, T. (2011). Examining the critical success factors of mobile website adoption. Online Information Review. https://doi.org/10.1108/14684521111161972

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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.