Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 374

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Goal–Attribute Compatibility in Consumer Choice

Chernev, Alexander·2004·Journal of Consumer Psychology

Abstract

This research advances the notion that product evaluations are a function of the compatibility of consumers’ goals with the attributes describing choice alternatives. Building on the concept of self-regulation, it is argued that attribute evaluations are moderated by individuals’ goal orientation and, specifically, that attributes compatible with individuals’ regulatory orientation tend to be overweighted in choice. This proposition is tested by examining the impact of goal orientation on consumer preferences in 3 different contexts: (a) hedonic versus utilitarian attributes, (b) performance versus reliability attributes, and (c) attractive versus unattractive (good vs. bad) attributes. The data show that prevention-focused individuals are more likely to overweight (in relative terms) utilitarian, reliability-related, and unattractive attributes than promotion-focused consumers, who are more likely to place relatively more weight on hedonic, performance-related, and attractive attributes. Considered together, these findings support the proposition that attributes compatible with individuals’ goal orientation tend to be overweighted in choice.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1207/s15327663jcp1401&2_16

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Cited by

See all 374

Metadata

Authors
Chernev, A.
Venue
Journal of Consumer Psychology
Publisher
Wiley
Published
2004-01
Volume
14
Issue
1-2
Pages
141-150
ISSN
  • 1057-7408 (ISSN-L)
  • 1532-7663
OpenAlex
W2032035405
Cited by
374
References
5
FWCI
4.28
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Goal–Attribute Compatibility in Consumer Choice. https://app.cochat.ai/papers/10.1207/s15327663jcp1401&2_16
The paper
Chernev, A. (2004). Goal–Attribute Compatibility in Consumer Choice. Journal of Consumer Psychology. https://doi.org/10.1207/s15327663jcp1401%262_16

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.