Skip to main navigation Skip to search Skip to main content

Viral Viruses and Modified Mobility: Cyberspace Disease Salience Predicts Human Movement Patterns

  • Michał Folwarczny
  • , Nils Magne Larsen
  • , Tobias Otterbring
  • , Agata Gasiorowska
  • , Valdimar Sigurdsson
  • Reykjavik University
  • UiT The Arctic University of Norway
  • University of Agder
  • SWPS University of Social Sciences and Humanities

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

Abstract

Humans have a motivational system that influences cognition and behavior to minimize the risk of contact with pathogens. This research examines the relationship between cyberspace disease salience and mobility behavior at the macro and micro levels. Across two studies, we predict and find that people adjust their mobility behavior to minimize the risk of close physical contact with strangers when cyberspace disease salience is high (vs. low). In Study 1, we analyze hourly sales data from five grocery stores and find that when cyberspace disease salience is high (vs. low), consumers spend 28% more money on each shopping trip and grocery stores sell 10% more items per hour despite 10% fewer shoppers per hour. Further, in Study 2, we test the generalizability of these results by analyzing the Google Community Mobility Reports. Here we find that high (vs. low) cyberspace disease salience is associated with an overall decrease in mobility in contexts where the risk of close contact with strangers is high—but not low. We discuss these findings in the context of sustainable consumer (mobility) behavior.

Original languageEnglish
Pages (from-to)110-127
Number of pages18
JournalJournal of Sustainable Marketing
Volume4
Issue number1
DOIs
Publication statusPublished - 2023
Externally publishedYes

Keywords

  • behavioral immune system
  • cyberspace
  • disease
  • mobility
  • pathogens
  • sustainable consumer behaviour

Fingerprint

Dive into the research topics of 'Viral Viruses and Modified Mobility: Cyberspace Disease Salience Predicts Human Movement Patterns'. Together they form a unique fingerprint.

Cite this