The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Managing the effectiveness of e-commerce platforms in a pandemic
Open accessAbstract
Given the severe impacts of the Covid-19 pandemic on business activities, this study presents a systematic framework to examine the effect of the perceived effectiveness of e-commerce platforms (PEEP) on consumer's perceived economic benefits in predicting sustainable consumption. This study adopted uses and gratification theory to base the conceptual model while adding a boundary condition of pandemic fear. The primary research method of this study is a quantitative survey and analysis. Using a sample of 617 online consumers with PLS analytical technique, this study finds a positive moderating effect of pandemic fear on the relationships among PEEP, economic benefits, and sustainable consumption. The contribution of this study is its examination of how economic benefit mediates the PEEP and sustainable consumption relationship which is dependable on the levels of pandemic fear. Implications for managers and theory are also discussed.
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 new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0403-8 · Cited by 38,459
Pls-Sem: indeed a silver bullet
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011) · Journal of Marketing Theory and Practice · doi:10.2753/mtp1069-6679190202 · Cited by 21,631
Cooper, D. R., & Schindler, P. S. (1976) · Cited by 4,264
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011) · MIS Quarterly · doi:10.2307/23044045 · Cited by 3,165
Business Research Methods: An Applied Orientation
Sreejesh, S., Mohapatra, S., & Anusree, M. R. (2014) · Springer eBooks · doi:10.1007/978-3-319-00539-3 · Cited by 2,933
Handbook of Partial Least Squares: Concepts, Methods and Applications
(2010) · Springer eBooks · doi:10.1007/978-3-540-32827-8 · Cited by 2,605
Consumer Behavior: Buying, Having and Being
Solomon, M. R. (1993) · University of Maribor digital library (University of Maribor) · Cited by 1,747
Laato, S., Islam, A. K. M. N., Farooq, A., & Dhir, A. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102224 · Cited by 851
Competing during a pandemic? Retailers’ ups and downs during the COVID-19 outbreak
Pantano, E., Pizzi, G., Scarpi, D., & Dennis, C. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.05.036 · Cited by 790
Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.2.04 · Cited by 770
Cited by
COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis
Cruz-Cárdenas, J., Zabelina, E., Guadalupe-Lanas, J., Palacio-Fierro, A., & Ramos-Galarza, C. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121179 · Cited by 280
Naeem, M., & Ozuem, W. (2022) · Information Technology & People · doi:10.1108/itp-01-2021-0061 · Cited by 94
Valdivino, C. X., De Paula, T. M., & Gerhard, F. (2025) · Future Business Journal · doi:10.1186/s43093-025-00626-3 · Cited by 7
Metadata
- Authors
- Tran, L. T. T.
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 58
- Pages
- 102287
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W3083465254
- Cited by
- 357
- References
- 50
- FWCI
- 62.53
- Type
- journal article
- Language
- en
- Open access
- green
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: Managing the effectiveness of e-commerce platforms in a pandemic. https://app.cochat.ai/papers/10.1016/j.jretconser.2020.102287
- The paper
- Tran, L. T. T. (2021). Managing the effectiveness of e-commerce platforms in a pandemic. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2020.102287
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.