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Cited by 357

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 access
Tran, Lobel Trong Thuy·2021·Journal of Retailing and Consumer Services

Abstract

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.

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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

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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
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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.