The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
The Effect of Online Consumer Reviews on New Product Sales
Abstract
This study examines the effect of online reviews on new product sales for consumer electronics and video games. Analyses of panel data of 332 new products from Amazon.com over nine months reveal that the valence of reviews and the volume of page views have a stronger effect on search products, whereas the volume of reviews is more important for experience products. The results also show that the volume of reviews has a significant effect on new product sales in the early period and such effect decreases over time. Moreover, the percentage of negative reviews has a greater effect than that of positive reviews, confirming the negativity bias. Thus, marketers need to consider the distinctive influences of various aspects of online reviews when launching new products and devising e-marketing 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
(2025) · doi:10.53555/acr.v2i2 · Cited by 13,264
Threshold models of collective behavior
Granovetter, M. (1978) · American Journal of Sociology · doi:10.1086/226707 · Cited by 6,072
A new product growth for model consumer durables
Bass, F. M. (1969) · Management Science · doi:10.1287/mnsc.15.5.215 · Cited by 6,008
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
A New Product Growth Model for Consumer Durables
Bass, F. M. (1976) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-51565-1_107 · Cited by 3,948
Attribution: Perceiving the Causes of Behavior
JONES, E. E. (1987) · Medical Entomology and Zoology · Cited by 3,760
The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms
Dellarocas, C. (2003) · Management Science · doi:10.1287/mnsc.49.10.1407.17308 · Cited by 3,433
Using Online Conversations to Study Word-of-Mouth Communication
Godes, D., & Mayzlin, D. (2004) · Marketing Science · doi:10.1287/mksc.1040.0071 · Cited by 2,601
What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.Com1
Mudambi, S. M., & Schuff, D. (2010) · MIS Quarterly · doi:10.2307/20721420 · Cited by 2,490
Zhu, F., & Zhang, X. (. (2010) · Journal of Marketing · doi:10.1509/jm.74.2.133 · Cited by 2,363
Cited by
What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature
King, R. A., Racherla, P., & Bush, V. D. (2014) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2014.02.001 · Cited by 1,017
Filieri, R. (2015) · Journal of Business Research · doi:10.1016/j.jbusres.2014.11.006 · Cited by 1,083
Filieri, R., Alguezaui, S., & McLeay, F. (2015) · Tourism Management · doi:10.1016/j.tourman.2015.05.007 · Cited by 882
Customer engagement with tourism social media brands
Harrigan, P., Evers, U., Miles, M., & Daly, T. (2017) · Tourism Management · doi:10.1016/j.tourman.2016.09.015 · Cited by 813
How Online Product Reviews Affect Retail Sales: A Meta-analysis
Floyd, K., Freling, R., Alhoqail, S., Cho, H. Y., & Freling, T. (2014) · Journal of Retailing · doi:10.1016/j.jretai.2014.04.004 · Cited by 622
Metadata
- Authors
- Cui, G., Lui, H.-K., & Guo, X.
- Venue
- International Journal of Electronic Commerce
- Publisher
- Informa UK Limited
- Published
- 2012-10
- Volume
- 17
- Issue
- 1
- Pages
- 39-58
- ISSN
- 1086-4415 (ISSN-L)
- 1557-9301
- OpenAlex
- W2002725950
- Cited by
- 620
- References
- 49
- FWCI
- 77.19
- 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: The Effect of Online Consumer Reviews on New Product Sales. https://app.cochat.ai/papers/10.2753/jec1086-4415170102
- The paper
- Cui, G., Lui, H.-K., & Guo, X. (2012). The Effect of Online Consumer Reviews on New Product Sales. International Journal of Electronic Commerce. https://doi.org/10.2753/jec1086-4415170102
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.
