The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach
Open accessAbstract
During the COVID-19 pandemic, unusual consumer behavior, such as hoarding toilet paper, was reported globally. We investigated this behavior when fears of consumer market disruptions started circulating, to capture human behavior in this unique situation. Based on the stimulus-organism-response (S-O-R) framework, we propose a structural model connecting exposure to online information sources (environmental stimuli) to two behavioral responses: unusual purchases and voluntary self-isolation. To test the proposed model, we collected data from 211 Finnish respondents via an online survey, and carried out analysis using PLS-SEM. We found a strong link between self-intention to self-isolate and intention to make unusual purchases, providing empirical evidence that the reported consumer behavior was directly linked to anticipated time spent in self-isolation. The results further revealed exposure to online information sources led to increased information overload and cyberchondria. Information overload was also a strong predictor of cyberchondria. Perceived severity of the situation and cyberchondria had significant impacts on people's intention to make unusual purchases and voluntarily self-isolate. Future research is needed to confirm the long-term effects of the pandemic on consumer and retail services.
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
Michie, S., van Stralen, M. M., & West, R. (2011) · Implementation Science · doi:10.1186/1748-5908-6-42 · Cited by 13,697 · cited 1×
“In addition, there exists at least 19 scientific frameworks focusing specifically on behavior change (Michie et al., 2011).”
BackgroundStructural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545
(1974) · Medical Entomology and Zoology · Cited by 7,295
A Protection Motivation Theory of Fear Appeals and Attitude Change1
Rogers, R. W. (1975) · The Journal of Psychology · doi:10.1080/00223980.1975.9915803 · Cited by 6,805
Sweller, J., Ayres, P., & Kalyuga, S. (2011) · doi:10.1007/978-1-4419-8126-4 · Cited by 5,531
Sweller, J. (2012) · Encyclopedia of the Sciences of Learning · doi:10.1007/978-1-4419-1428-6_446 · Cited by 4,405
Compliance, identification, and internalization three processes of attitude change
Kelman, H. C. (1958) · Journal of Conflict Resolution · doi:10.1177/002200275800200106 · Cited by 3,830
Webb, T. L., & Sheeran, P. (2006) · Psychological Bulletin · doi:10.1037/0033-2909.132.2.249 · Cited by 3,732
How will country-based mitigation measures influence the course of the COVID-19 epidemic?
Anderson, R. M., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. D. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30567-5 · Cited by 3,648
Research works printed but not linked: 3
- Barclay, 1995, The partial least squares (PLS) approach to causal modeling: personal computer adoption and use as an illustration, Technol. Stud., 285
- La Torre, 2009, Behaviours regarding preventive measures against pandemic H1N1 influenza among Italian healthcare workers, Euro Surveill., 14, 19432, 10.2807/ese.14.49.19432-en · doi:10.2807/ese.14.49.19432-en
- Watne, 2011, Behavioral change starts in the family: the role of family communication and implications for social marketing, J. Nonprofit & Public Sect. Mark., 23, 367, 10.1080/10495142.2011.623526 · doi:10.1080/10495142.2011.623526
Cited by
Liu, H., Liu, W., Yoganathan, V., & Osburg, V.-S. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120600 · Cited by 372
Social media marketing gains importance after Covid-19
Mason, A. N., Narcum, J., & Mason, K. (2021) · Cogent Business & Management · doi:10.1080/23311975.2020.1870797 · Cited by 365
Managing the effectiveness of e-commerce platforms in a pandemic
Tran, L. T. T. (2021) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102287 · Cited by 357
Digitalization and sustainability: virtual reality tourism in a post pandemic world
Talwar, S., Kaur, P., Nunkoo, R., & Dhir, A. (2023) · Journal of Sustainable Tourism · doi:10.1080/09669582.2022.2029870 · Cited by 303
Self-citationCOVID-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
Metadata
- Authors
- Laato, S., Islam, A. K. M. N., Farooq, A., & Dhir, A.
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 57
- Pages
- 102224
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W3043846689
- Cited by
- 851
- References
- 72
- FWCI
- 129.38
- Type
- journal article
- Language
- en
- Open access
- hybrid
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
- Funders
- Academy of Finland
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: Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. https://app.cochat.ai/papers/10.1016/j.jretconser.2020.102224
- The paper
- Laato, S., Islam, A. K. M. N., Farooq, A., & Dhir, A. (2020). Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach. Journal of Retailing and Consumer Services. https://doi.org/10.1016/j.jretconser.2020.102224
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.