Attract the best: The attraction effect as an effective strategy to enhance healthy choices.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2021
Historique:
received: 12 05 2021
accepted: 20 10 2021
entrez: 4 11 2021
pubmed: 5 11 2021
medline: 7 1 2022
Statut: epublish

Résumé

Every day, people make many food decisions without thinking, repeatedly falling for the unhealthy option instead of the healthy option. While making these mindless decisions, people often rely on heuristics. In this paper, we demonstrate that these heuristics can be exploited to nudge consumers towards healthy alternatives. Specifically, we explore how the attraction effect (i.e., adding a decoy to a choice set) can nudge people to choose a healthy snack. The results of our choice experiment indicate that adding a decoy (i.e., a less attractive food alternative) to a self-control situation (i.e., choosing between a healthy and an unhealthy food alternative) can help people maintain self-control and choose the healthy option. This mixed choice set thus nudges people towards the healthy option. Moreover, our results show differential effects of the attraction effect depending on the (un)healthiness of the products in the choice set. Specifically, the attraction effect is prominent when the choice set consists of unhealthy products only (i.e., the unhealthy choice set), but not in the choice set that consists of only healthy products (i.e., healthy choice set). Importantly, our results indicate when the attraction effect can exploit consumers' heuristics to help them make better, healthier food choices.

Identifiants

pubmed: 34735536
doi: 10.1371/journal.pone.0259521
pii: PONE-D-21-15713
pmc: PMC8568290
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0259521

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

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Auteurs

Gitta van den Enden (G)

Department of Marketing and Supply Chain Management, Maastricht University, Maastricht, The Netherlands.

Kelly Geyskens (K)

Department of Marketing and Supply Chain Management, Maastricht University, Maastricht, The Netherlands.

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Classifications MeSH