Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 383

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products

Jiménez, Fernando R., Mendoza, Norma A.·2013·Journal of Interactive Marketing

Abstract

Consumers assess the credibility of online product reviews to guide their purchase decisions. However, little is known about how consumers determine the credibility of online product reviews. This article examines the effect of the level of detail in a product review and the level of reviewer agreement with it on the credibility of a review and consumers’ purchase intentions for search and experience products. Overall, the results indicate that more credible reviews lead to higher purchase intentions. Interestingly, the findings also demonstrate that consumers determine the credibility of a review differently for search and experience products. For search products, consumers deem online reviews to be more credible when the reviews contain detailed information about the product. However, for experience products, consumers determine the credibility of a review by assessing the level of reviewer agreement with a review. The lack of diagnosticity of detailed information in online reviews of experience products is attributed to the idiosyncratic nature of experiences. Implications for research and practice are discussed.

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 · 10.1016/j.intmar.2013.04.004

Cites

7 of 7 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 7 references

Cited by

See all 383

Metadata

Authors
Jiménez, F. R., & Mendoza, N. A.
Venue
Journal of Interactive Marketing
Published
2013-08
Volume
27
Issue
3
Pages
226-235
ISSN
  • 1094-9968 (ISSN-L)
  • 1520-6653
OpenAlex
W2049801154
Cited by
383
References
7
FWCI
54.61
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: Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products. https://app.cochat.ai/papers/10.1016/j.intmar.2013.04.004
The paper
Jiménez, F. R., & Mendoza, N. A. (2013). Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products. Journal of Interactive Marketing. https://doi.org/10.1016/j.intmar.2013.04.004

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.