Dataset for "Feeling right about doing right, even if it was difficult?" BeckerConflictDecisions_Dataraw

DOI

Dataset for: Becker, D. (2020). Feeling right about doing right, even if it was difficult? Emotional and behavioral consequences of conflict during ethical consumer decision‐making. Journal of Consumer Behaviour, 20(3), 817–826. https://doi.org/10.1002/cb.1911

Many consumer choices nowadays involve ethical considerations (e.g., when buying clothes consumers can often choose between a standard and an ethically produced collection). Previous work has shown that how people feel after such ethically connotated consumer choices is a central determinant of their future ethical consumer behavior. However, most of that research focuses on the effect of choice outcomes (ethical vs. unethical product) on emotional and behavioral reactions. Challenging this outcome-focused approach, the present paper proposes that the experience of conflict (e.g., between ethical goals vs. self-interest) during decision-making has a significant additional effect on emotional reactions and future behavior. Results from one fully powered, preregistered study (N = 383) showed that conflict strength predicted increased negative post-choice emotions and reduced choice satisfaction. Importantly, this pattern occurred for ethical as well as unethical choice outcomes. Conflict also increased the likelihood of making the opposite choice in a subsequent ethical consumer choice situation—again independent of participants' prior choice. Those results are an important extension of previous work as they highlight the importance of taking experienced conflict into account when predicting post-choice emotions and future ethical consumer behavior.

Identifier
DOI https://doi.org/10.23668/psycharchives.2765
Metadata Access https://api.datacite.org/dois/10.23668/psycharchives.2765
Provenance
Creator Becker, Daniela
Publisher PsychArchives
Contributor Leibniz Institut Für Psychologie (ZPID)
Publication Year 2020
Rights CC-BY-SA 4.0; openAccess; Creative Commons Attribution Share Alike 4.0 International
OpenAccess true
Representation
Language English
Resource Type Dataset
Discipline Social Sciences