The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Product Familiarity and Learning New Information
Abstract
Does product familiarity improve shoppers' ability to learn new product information? We examine an earlier study which indicated that greater familiarity increased learning during a new purchase decision. Our reanalysis confirms that the effect depends strongly upon decision strategy. Familiarity facilitates learning when consumers rate each alternative, but when consumers are instructed to choose one alternative, an “inverted u” relationship between familiarity and learning results. Our new analyses also show that consumers familiar with the product category demonstrate stronger brand organization for the new information.
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
Significance tests and goodness of fit in the analysis of covariance structures.
Bentler, P. M., & Bonett, D. G. (1980) · Psychological Bulletin · doi:10.1037//0033-2909.88.3.588 · Cited by 19,023
Cited by
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822
Dimensions of Consumer Expertise
Alba, J. W., & Hutchinson, J. W. (1987) · Journal of Consumer Research · doi:10.1086/209080 · Cited by 4,375
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Communication and Persuasion · doi:10.1007/978-1-4612-4964-1_1 · Cited by 3,202
Word-of-Mouth Processes within a Services Purchase Decision Context
Bansal, H. S., & Voyer, P. A. (2000) · Journal of Service Research · doi:10.1177/109467050032005 · Cited by 1,334
Park, D.-H., & Kim, S. (2008) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2007.12.001 · Cited by 837
Metadata
- Authors
- Johnson, E. J., & Russo, J. E.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1984-06
- Volume
- 11
- Issue
- 1
- Pages
- 542
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2022164837
- Cited by
- 922
- References
- 1
- FWCI
- 30.37
- 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: Product Familiarity and Learning New Information. https://app.cochat.ai/papers/10.1086/208990
- The paper
- Johnson, E. J., & Russo, J. E. (1984). Product Familiarity and Learning New Information. Journal of Consumer Research. https://doi.org/10.1086/208990
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.