The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model
Abstract
The increasing popularity of online shopping has led to the emergence of new economic activities. To succeed in the highly competitive e-commerce environment, it is vital to understand consumer intention. Understanding what motivates consumer intention is critical because such intention is key to survival in this fast-paced and hypercompetitive environment. Where prior research has attempted at most a limited adaptation of the information system success model, we propose a comprehensive, empirical model that separates the ‘use’ construct into ‘intention to use’ and ‘actual use’. This makes it possible to test the importance of user intentions in determining their online shopping behaviour. Our results suggest that the consumer's intention to use is quite important, and accurately predicts the usage behaviour of consumers. In contrast, consumer satisfaction has a significant impact on intention to use but no direct causal relation with actual use.
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Cites
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Information Systems Success: The Quest for the Dependent Variable
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Understanding Information Systems Continuance: An Expectation-Confirmation Model1
Bhattacherjee, A. (2001) · MIS Quarterly · doi:10.2307/3250921 · Cited by 8,767
Consumer trust, value, and loyalty in relational exchanges
Sirdeshmukh, D., Singh, J., & Sabol, B. (2002) · Journal of Marketing · doi:10.1509/jmkg.66.1.15.18449 · Cited by 4,196
Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis
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Evaluating E-learning systems success: An empirical study
Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.08.004 · Cited by 1,350
An empirical examination of continuance intention of mobile payment services
Zhou, T. (2013) · Decision Support Systems · doi:10.1016/j.dss.2012.10.034 · Cited by 914
Hsu, C.-L., Chang, K.-C., & Chen, M.-C. (2012) · Information Systems and e-Business Management · doi:10.1007/s10257-011-0181-5 · Cited by 451
Gao, L., & Waechter, K. A. (2017) · Information Systems Frontiers · doi:10.1007/s10796-015-9611-0 · Cited by 367
Wang, Y., Asaad, Y., & Filieri, R. (2020) · Journal of Travel Research · doi:10.1177/0047287519855135 · Cited by 194
Metadata
- Authors
- Chen, C.-W. D., & Cheng, C.-Y. J.
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2009-07
- Volume
- 28
- Issue
- 4
- Pages
- 335-345
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W1979538031
- Cited by
- 193
- References
- 9
- FWCI
- 11.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Chen, C.-W. D., & Cheng, C.-Y. J. (2009). Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model. Behaviour & Information Technology. https://doi.org/10.1080/01449290701850111
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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.