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Journal of Consumer Psychology
Article . 2024 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
SSRN Electronic Journal
Article . 2024 . Peer-reviewed
Data sources: Crossref
VTechWorks
Other literature type . 2025
License: CC BY NC ND
Data sources: VTechWorks
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Moral foundations theory and consumer behavior

Authors: Shreyans Goenka; Manoj Thomas;

Moral foundations theory and consumer behavior

Abstract

AbstractRamos et al. (Journal of Consumer Psychology, 2024) explain the Moral Foundations Theory (MFT) and discuss its applicability to explain marketing persuasion, consumer emotions, and prosocial behavior. We concur with Ramos et al. but suggest that the scope for MFT in consumer behavior is much broader – it can be used to investigate heterogeneity in consumers' moral utility. Specifically, we discuss how MFT can be used to investigate heterogeneity in product preferences, consumers' financial choices, consumer reactions to brand activism, and market regulation. We conclude by discussing three important challenges of using MFT in consumer research – causal identification, discriminant validity, and scientific objectivity.

Country
United States
Related Organizations
Keywords

consumer preferences, moral foundations theory, moral utility, morality

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    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
hybrid