Timed intervention in COVID-19 and panic buying

Catherine Prentice, Jinyan Chen, Bela Stantic

Research output: Journal article publicationJournal articleAcademic researchpeer-review

72 Citations (Scopus)

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.

Original languageEnglish
Article number102203
JournalJournal of Retailing and Consumer Services
Volume57
DOIs
Publication statusPublished - Nov 2020
Externally publishedYes

Keywords

  • Big data
  • COVID-19
  • Government interventions and measures
  • Panic buying
  • Secondary data
  • Semantic analysis

ASJC Scopus subject areas

  • Marketing

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