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
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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Cites
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Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
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Information Systems Success: The Quest for the Dependent Variable
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Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
Belsley, D. A., Kuh, E., & Welsch, R. E. (1980) · Wiley Series in Probability and Statistics · doi:10.1002/0471725153 · Cited by 7,297
Developing and validating trust measures for e-commerce: an integrative typology
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002) · Information Systems Research · doi:10.1287/isre.13.3.334.81 · Cited by 5,550
Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics
Devaraj, S., Fan, M., & Kohli, R. (2002) · Information Systems Research · doi:10.1287/isre.13.3.316.77 · Cited by 1,205
Beldad, A., de Jong, M., & Steehouder, M. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.013 · Cited by 754
Exploring factors affecting the adoption of mobile commerce in Singapore
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Cited by
Gao, L., Waechter, K. A., & Bai, X. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.014 · Cited by 446
A meta-analysis of antecedents and consequences of trust in mobile commerce
Sarkar, S., Chauhan, S., & Khare, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.008 · Cited by 375
Gao, L., & Waechter, K. A. (2017) · Information Systems Frontiers · doi:10.1007/s10796-015-9611-0 · Cited by 367
Analysis of the determinants of consumers’m-commerce usage activities
Chan, F. T. S., & Yee‐Loong Chong, A. (2013) · Online Information Review · doi:10.1108/oir-01-2012-0012 · Cited by 77
The effects of mobile apps on stress, anxiety, and depression: overview of systematic reviews
Khademian, F., Aslani, A., & Bastani, P. (2021) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462320002093 · Cited by 62
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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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.