The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Consumer Choice Strategies for Comparing Noncomparable Alternatives
Open accessAbstract
Research on consumer choice has focused on easily comparable alternatives, a subset of the choices consumers regularly face. This paper outlines the problem and two general strategies for comparing noncomparable alternatives, a subset of choices that has been overlooked in the literature. Experiments are reported that support use of the strategies.
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.
Integrity signals
Registry
Cites
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.
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
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
Elimination by aspects: A theory of choice
Tversky, A. (1972) · Psychological Review · doi:10.1037/h0032955 · Cited by 3,365
Bettman, J. R., & Park, C. W. (1980) · Journal of Consumer Research · doi:10.1086/208812 · Cited by 1,344
Cited by
Construal-level theory of psychological distance.
Trope, Y., & Liberman, N. (2010) · Psychological Review · doi:10.1037/a0018963 · Cited by 6,618
Dimensions of Consumer Expertise
Alba, J. W., & Hutchinson, J. W. (1987) · Journal of Consumer Research · doi:10.1086/209080 · Cited by 4,375
Implications of Loyalty Program Membership and Service Experiences for Customer Retention and Value
Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000) · Journal of the Academy of Marketing Science · doi:10.1177/0092070300281009 · Cited by 1,157
A framework for comparing customer satisfaction across individuals and product categories
Johnson, M. D., & Fornell, C. (1991) · Journal of Economic Psychology · doi:10.1016/0167-4870(91)90016-m · Cited by 898
Self-citationE-Service Quality: Development of a Hierarchical Model
Blut, M. (2016) · Journal of Retailing · doi:10.1016/j.jretai.2016.09.002 · Cited by 328
Metadata
- Authors
- Johnson, M. D.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1984-12
- Volume
- 11
- Issue
- 3
- Pages
- 741
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W1975335004
- Cited by
- 349
- References
- 3
- FWCI
- 2.09
- Type
- journal article
- Language
- en
- Open access
- green
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: Consumer Choice Strategies for Comparing Noncomparable Alternatives. https://app.cochat.ai/papers/10.1086/209010
- The paper
- Johnson, M. D. (1984). Consumer Choice Strategies for Comparing Noncomparable Alternatives. Journal of Consumer Research. https://doi.org/10.1086/209010
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.
