The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues
Abstract
With the growth of e-commerce, online consumer reviews have increasingly become important sources of information that help consumers in their purchase decisions. However, the influx of online consumer reviews has caused information overload, making it difficult for consumers to choose reliable reviews. For an online retail market to succeed, it is important to lead product reviewers to write more helpful reviews, and for consumers to get helpful reviews more easily by figuring out the factors determining the helpfulness of online reviews. For this research, 75,226 online consumer reviews were collected from Amazon.com using a Web data crawler. Additional information on review content was also gathered by carrying out a sentiment analysis for mining review text. Our results show that both peripheral cues, including review rating and reviewer's credibility, and central cues, such as the content of reviews, influence the helpfulness of reviews. Based on dual process theories, we find that consumers focus on different information sources of reviews, depending on their purposes for reading reviews: online reviews can be used for information search or for evaluating alternatives. Our findings provide new perspectives to online market owners on how to manage online reviews on their Web sites.
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
Advances In Experimental Social Psychology
(2022) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(22)x0002-6 · Cited by 22,259
(2025) · doi:10.53555/acr.v2i2 · Cited by 13,264
Mining and summarizing customer reviews
Hu, M., & Liu, B. (2004) · Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/1014052.1014073 · Cited by 7,793
(1999) · Cited by 6,104
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Information and Consumer Behavior
Nelson, P. (1970) · Journal of Political Economy · doi:10.1086/259630 · Cited by 5,758
Chaiken, S. (1980) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.39.5.752 · Cited by 5,516
Attribution: Perceiving the Causes of Behavior
JONES, E. E. (1987) · Medical Entomology and Zoology · Cited by 3,760
From acts to dispositions the attribution process in person perception
Jones, E. E., & Davis, K. E. (1965) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60107-0 · Cited by 3,424
Nelson, P. (1974) · Journal of Political Economy · doi:10.1086/260231 · Cited by 3,418
Research works printed but not linked: 7
- S. Chaiken, 1996, The Psychology of Action: Linking Cognition and Motivation to Behavior, 553
- H. Gossen, 1854, Entwickelung der Gesetze des Menschlichen Verkehrs, und der Daraus Fliessenden Regeln für Menschliche Handeln
- E. Higgins, 1999, Dual-Process Theories in Social Psychology, 503
- C. Insko, 1976, Persuasion, recall, and thoughts, Representative Research in Social Psychology, 7, 66
- R. Petty, 1999, Dual-Process Theories in Social Psychology, 503
- L. Schiffman, 2007, Consumer Behavior, 524
- K. Zhang, 2010, Understanding the informational social influence of online review platform, 1103
Cited by
What makes a useful online review? Implication for travel product websites
Liu, Z., & Park, S. (2015) · Tourism Management · doi:10.1016/j.tourman.2014.09.020 · Cited by 963
Filieri, R., McLeay, F., Tsui, B., & Lin, Z. (2018) · Information & Management · doi:10.1016/j.im.2018.04.010 · Cited by 477
Understanding the determinants of online review helpfulness: A meta-analytic investigation
Hong, H., Xu, D., Wang, G. A., & Fan, W. (2017) · Decision Support Systems · doi:10.1016/j.dss.2017.06.007 · Cited by 470
Babić Rosario, A., de Valck, K., & Sotgiu, F. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00706-1 · Cited by 462
A study of factors that contribute to online review helpfulness
Huang, A. H., Chen, K., Yen, D. C., & Tran, T. P. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.01.010 · Cited by 364
Metadata
- Authors
- Baek, H., Ahn, J., & Choi, Y.
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2012-12
- Volume
- 17
- Issue
- 2
- Pages
- 99-126
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W2012662675
- Cited by
- 593
- References
- 62
- FWCI
- 46.52
- 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: Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues. https://app.cochat.ai/papers/10.2753/jec1086-4415170204
- The paper
- Baek, H., Ahn, J., & Choi, Y. (2012). Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues. International Journal of Electronic Commerce. https://doi.org/10.2753/jec1086-4415170204
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.
