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Cited by 305

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

When Going Green Backfires: How Firm Intentions Shape the Evaluation of Socially Beneficial Product Enhancements

Newman, George E., Gorlin, Margarita, Dhar, Ravi·2014·Journal of Consumer Research

Abstract

Many companies offer products with social benefits that are orthogonal to performance (e.g., green products). The present studies demonstrate that information about a company's intentions in designing the product plays an import role in consumers' evaluations. In particular, consumers are less likely to purchase a green product when they perceive that the company intentionally made the product better for the environment compared to when the same environmental benefit occurred as an unintended side effect. This result is explained by consumers' lay theories about resource allocation: intended (vs. unintended) green enhancements lead consumers to assume that the company diverted resources away from product quality, which in turn drives a reduction in purchase interest. The present studies also identify an important boundary condition based on the type of enhancement and show that the basic intended (vs. unintended) effect generalizes to other types of perceived tradeoffs, such as healthfulness and taste.

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Crossref · 10.1086/677841

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Metadata

Authors
Newman, G. E., Gorlin, M., & Dhar, R.
Venue
Journal of Consumer Research
Published
2014-10-01
Volume
41
Issue
3
Pages
823-839
ISSN
  • 0093-5301 (ISSN-L)
  • 1537-5277
OpenAlex
W2157079174
Cited by
305
References
2
FWCI
50.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: When Going Green Backfires: How Firm Intentions Shape the Evaluation of Socially Beneficial Product Enhancements. https://app.cochat.ai/papers/10.1086/677841
The paper
Newman, G. E., Gorlin, M., & Dhar, R. (2014). When Going Green Backfires: How Firm Intentions Shape the Evaluation of Socially Beneficial Product Enhancements. Journal of Consumer Research. https://doi.org/10.1086/677841

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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.