The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Consumer response to corporate irresponsible behavior: Moral emotions and virtues
Open accessAbstract
A unique theoretical framework for explaining consumer word of mouth and protest behaviors against corporate irresponsibility is developed and tested. Through field surveys with adult consumers, this study demonstrates how consumers' negative moral emotional responses to corporate infractions instigate, in combination with other-regarding virtues, negative word of mouth and protest toward the corporation. Negative moral emotions include contempt, anger, and disgust; whereas other-regarding virtues entail justice, beneficence, equality, and communal cooperation. The results provide scholars and managers with means of improving their understanding and handling of consumers' reactions to corporate irresponsibility.
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“Negative word-of-mouth intentions were assessed using three items on a seven-point scale, adapted from Grappi et al. (2013) and Xie and Bagozzi (2019) (α = .94).”
From Distinguishing Moral Outrage and Empathetic Anger: Advancing the Triadic Appraisal Framework of Situational Crisis Communication Theory (2026) · cites this paper as Grappi et al., 2013
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Cites
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Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium
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Does Doing Good Always Lead to Doing Better? Consumer Reactions to Corporate Social Responsibility
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Moral Emotions and Moral Behavior
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Emotion, regulation, and moral development
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Cited by
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Arango, L., Singaraju, S. P., & Niininen, O. (2023) · Journal of Advertising · doi:10.1080/00913367.2023.2183285 · Cited by 243
Niu, R., Eng, N., & Jin, Y. (2026) · Journal of Public Relations Research · doi:10.1080/1062726x.2026.2667179 · Cited by 2
Metadata
- Authors
- Grappi, S., Romani, S., & Bagozzi, R. P.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 66
- Issue
- 10
- Pages
- 1814-1821
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W2065125572
- Cited by
- 487
- References
- 13
- FWCI
- 22.36
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.