The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.
COVID-19, consumer behavior, technology, and society: A literature review and bibliometric analysis
Open accessAbstract
The COVID-19 crisis is among the most disruptive events in recent decades. Its profound consequences have garnered the interest of many studies in various disciplines, including consumer behavior, thereby warranting an effort to review and systematize the literature. Thus, this study systematizes the knowledge generated by 70 COVID-19 and consumer behavior studies in the Scopus database. It employs descriptive analysis, highlighting the importance of using quantitative methods and China and the US as research settings. Co-occurrence analysis further identified various thematic clusters among the studies. The input-process-output consumer behavior model guided the systematic review, covering several psychological characteristics and consumer behaviors. Accordingly, measures adopted by governments, technology, and social media stand out as external factors. However, revised marketing strategies have been oriented toward counteracting various consumer risks. Hence, given that technological and digital formats mark consumer behavior, firms must incorporate digital transformations in their process.
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Creutzig, F., Acemoglu, D., Bai, X., Edwards, P. N., Hintz, M. J., Kaack, L. H., Kilkis, S., Kunkel, S., Luers, A., Milojevic-Dupont, N., et al. (2022) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-120920-100056 · Cited by 112
Aging and Its Societal Impact: A Bibliometric Analysis
Zheng, Z., B. A. M., H.-S., Omar Zaki, H., & Tan, Q. L. (2025) · SAGE Open · doi:10.1177/21582440251362564 · Cited by 6
Metadata
- Authors
- Cruz-Cárdenas, J., Zabelina, E., Guadalupe-Lanas, J., Palacio-Fierro, A., & Ramos-Galarza, C.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 173
- Pages
- 121179
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W3197222752
- Cited by
- 280
- References
- 91
- FWCI
- 41.42
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.