The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
On-line Shopping Behavior: Cross-Country Empirical Research
Abstract
Electronic commerce is a worldwide phenomenon. Many Internet users browse the Web for information on products and services, but very few actually make purchases on-line. Until now, research on the factors that promote on-line shopping behavior has treated them independently and at the national level. The present study, in contrast, uses cross-country data from 26 nations and analyzes constructs with a structural equation model (SEM). The study finds that the factors of trust and economic conditions, but not educational level and technological savvy, make a significant positive contribution to online shopping behavior. In fact they explain more than 80 percent of the variability in online shopping behavior. Empirical guidelines are provided to help managers select one or more macro-level predictors to explain on-line shopping behavior. Future research opportunities are delineated.
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
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
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
(2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044275 · Cited by 5,715
E-commerce: the role of familiarity and trust.
Gefen, D. (2000) · Omega · doi:10.1016/s0305-0483(00)00021-9 · Cited by 3,529
Individual Trust in Online Firms: Scale Development and Initial Test
(2002) · Journal of Management Information Systems · doi:10.1080/07421222.2002.11045715 · Cited by 1,347 · cited 1×
“Recognizing the impersonal nature of the on-line business environment and the importance of retaining customers’ trust in e-commerce business, researchers associated with this school of thought have investigated the role of trust in retaining repeat customers and have found it to be absolutely critical for on-line com…”
Background
Cited by
Online customer experience in e-retailing: An empirical model of antecedents and outcomes
Rose, S., Clark, M., Samouel, P., & Hair, N. (2012) · Journal of Retailing · doi:10.1016/j.jretai.2012.03.001 · Cited by 1,131
(2007) · Cited by 737
Food consumption behavior during the COVID‐19 pandemic
Chenarides, L., Grebitus, C., Lusk, J. L., & Printezis, I. (2021) · Agribusiness · doi:10.1002/agr.21679 · Cited by 359
Cross-border electronic commerce: distance effects and express delivery in European union markets
Kim, T. Y., Dekker, R., & Heij, C. (2017) · International Journal of Electronic Commerce · doi:10.1080/10864415.2016.1234283 · Cited by 203
Metadata
- Authors
- Mahmood, M. A., Bagchi, K., & Ford, T. C.
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2004-10
- Volume
- 9
- Issue
- 1
- Pages
- 9-30
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W2577672132
- Cited by
- 170
- References
- 5
- FWCI
- 17.93
- 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: On-line Shopping Behavior: Cross-Country Empirical Research. https://app.cochat.ai/papers/10.1080/10864415.2004.11044321
- The paper
- Mahmood, M. A., Bagchi, K., & Ford, T. C. (2004). On-line Shopping Behavior: Cross-Country Empirical Research. International Journal of Electronic Commerce. https://doi.org/10.1080/10864415.2004.11044321
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.
