Timed intervention in COVID-19 and panic buying
Catherine Prentice,
Jinyan Chen and
Bela Stantic
Journal of Retailing and Consumer Services, 2020, vol. 57, issue C
Abstract:
In view of 2020 outbreak of the pandemic COVID-19, the paper examines the relationship between government measures for combating the pandemic and their side effects. Panic buying is identified as one such side effect. Among various models and measures undertaken by government to manage the pandemic, timed-intervention policy is commonly practiced by most countries. This paper examines the timing effect between government measures and panic buying. Three studies were undertaken to understand the timing effect and identify a connection between timed measures and consumer behaviours. Semantic analysis, secondary data search, and big data analytics were deployed to address the research aim. Although claiming a causal relationship is cautioned, the findings reveal a connection between timing of government measures and panic buying. These findings are discussed with the support of real-life evidence. Implications for researchers and practitioners conclude this paper.
Keywords: COVID-19; Government interventions and measures; Panic buying; Semantic analysis; Big data; Secondary data (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (54)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0969698920309176
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:57:y:2020:i:c:s0969698920309176
DOI: 10.1016/j.jretconser.2020.102203
Access Statistics for this article
Journal of Retailing and Consumer Services is currently edited by Harry Timmermans
More articles in Journal of Retailing and Consumer Services from Elsevier
Bibliographic data for series maintained by Catherine Liu ().