EconPapers    
Economics at your fingertips  
 

Food packaging and the color red: How negative cognitive associations influence feelings of guilt

Renaud Lunardo, Camille Saintives and Damien Chaney

Journal of Business Research, 2021, vol. 134, issue C, 589-600

Abstract: The color red widely appears on food packages. However, understanding of the effects of this color on consumers in the context of food packages remains limited. In particular, the literature stresses the need for a better grasp of the underlying mechanisms that explain the effects of this color when used on food packages. Building on the psychological literature on colors and emotions, this research argues that because the color red carries negative meanings related to transgression, it may prompt consumers to feel some guilt about their consumption. Three studies demonstrate the indirect effect of the color red (versus green or blue) on guilt and eventually on choice through the mediating role of negative cognitive associations. The results also highlight the moderating role of perception of the food product as unhealthy, with the color red leading to stronger negative associations and guilt for unhealthy (vs. healthy) products.

Keywords: Color; Guilt; Negative associations; Healthiness; Food packaging (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296321003891
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:jbrese:v:134:y:2021:i:c:p:589-600

DOI: 10.1016/j.jbusres.2021.05.052

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jbrese:v:134:y:2021:i:c:p:589-600