Reviews and reputation · Meta-analysis
How Online Reviews Affect Purchase Intention: A Meta-analysis Across Contextual and Cultural Factors
Qiu, K., & Zhang, L. (2024). Data and Information Management, 8(2), 100058.
Plain-English take
All analyzed review antecedents were significantly related to purchase intention; review valence had the largest reported association (r = 0.563). For your marketing: This is a broad synthesis of review signals and trust factors.
How much weight to give this
3.5/5 Useful evidence with meaningful caveats
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.
A synthesis can show patterns across studies; its strength depends on the included evidence.
A usable sample size is not stated in the profile's accessible source.
No single control group; check inclusion criteria, study quality, and variation across settings.
This profile could be checked against an abstract or metadata, not the full paper.
Double-blind? Not applicable in the same way as a participant-treatment experiment.
Research question
What the authors investigated
How do online-review characteristics relate to purchase intention, and which cultural, product, or study factors moderate those effects?
Design
Meta-analysis of 156 studies, 214 effect sizes, and 69,006 observations.
Sample and setting
Consumer purchase-intention studies involving online reviews across products, platforms, cultures, and research methods.
Reported result
What the study found
All analyzed review antecedents were significantly related to purchase intention; review valence had the largest reported association (r = 0.563). Individualism, product type, and several study characteristics moderated the results.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
Scope and transfer
Limitations to keep in view
The authors note that retrieval omitted unpublished studies and theses, review types and moderators were constrained by data availability, and observed purchase intention does not equal actual purchase behavior.
Possible founder application
A broad synthesis of review signals and trust factors. Use it to form hypotheses for SaaS proof and reputation pages, while measuring actual qualified conversion rather than intention alone.
Evidence access
Publisher abstract and article page; access may vary
ScienceDirect publisher abstract and article page retrieved with Firecrawl; study count, strongest association, moderators, and limitations were checked.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.