The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model
Abstract
Information technology and the Internet have had a dramatic effect on business operations. Companies are making large investments in e-commerce applications but are hard pressed to evaluate the success of their e-commerce systems. The DeLone & McLean Information Systems Success Model can be adapted to the measurement challenges of the new e-commerce world. The six dimensions of the updated model are a parsimonious framework for organizing the e-commerce success metrics identified in the literature. Two case examples demonstrate how the model can be used to guide the identification and specification of e-commerce success metrics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045748 · Cited by 11,791
Self-citationInformation Systems Success: The Quest for the Dependent Variable
DeLone, W. H., & McLean, E. R. (1992) · Information Systems Research · doi:10.1287/isre.3.1.60 · Cited by 10,697
Self-citation
Cited by
What drives social commerce: The role of social support and relationship quality
Liang, T.-P., Ho, Y.-T., Li, Y.-W., & Turban, E. (2011) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415160204 · Cited by 1,254
Social media in marketing: A review and analysis of the existing literature
Alalwan, A. A., Rana, N. P., Dwivedi, Y. K., & Algharabat, R. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.05.008 · Cited by 1,123
Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.08.011 · Cited by 740
A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research
Hong, W., Chan, F. K. Y., Thong, J. Y. L., Chasalow, L. C., & Dhillon, G. (2014) · Information Systems Research · doi:10.1287/isre.2013.0501 · Cited by 609
Schryen, G. (2013) · European Journal of Information Systems · doi:10.1057/ejis.2012.45 · Cited by 420
Metadata
- Authors
- DeLone, W. H., & McLean, E. R.
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2004-10
- Volume
- 9
- Issue
- 1
- Pages
- 31-47
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W1857675993
- Cited by
- 1,399
- References
- 3
- FWCI
- 42.69
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model. https://app.cochat.ai/papers/10.1080/10864415.2004.11044317
- The paper
- DeLone, W. H., & McLean, E. R. (2004). Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model. International Journal of Electronic Commerce. https://doi.org/10.1080/10864415.2004.11044317
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.