The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A Meta-analytic Investigation of the Role of Valence in Online Reviews
Abstract
Based on a meta-analysis, this study aims to clarify the influence of online review valence (i.e., whether reviews in a review set are predominantly positive or negative) on various dependent variables, in particular on perceived usefulness of the reviews and on attitudes toward the product. The findings suggest that review valence affects perceived usefulness in a different way than it affects attitudes. We find an optimum impact level for perceived usefulness and a ceiling effect for attitudes. Primarily negative review sets that include few positive reviews show the strongest effect on perceived usefulness, while positive review sets that include few or no negative reviews are most successful in influencing attitudes. Additionally, review valence has a stronger influence on perceived usefulness when the reviews refer to experience (rather than search) products, and it has a stronger influence on attitudes for unfamiliar (rather than familiar) brands. Finally, the strongest influence of review valence refers to recommendation intentions. These findings provide several implications for researchers and practitioners.
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Cites
The Effect of Word of Mouth on Sales: Online Book Reviews
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The impact of online reviews on hotel booking intentions and perception of trust
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“According to the accessibility– diagnosticity theory (Feldman and Lynch 1988; Skowronski and Carlston 1989) negative information has a systematically stronger influence on judgment than the equivalent positive information (Ahluwalia and Gürhan-Canli 2000; Herr, Kardes, and Kim 1991).”
Tried and tested: The impact of online hotel reviews on consumer consideration
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Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415130402 · Cited by 1,286
Electronic word of mouth (eWOM): How eWOM platforms influence consumer product judgement
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Two-sided advertising: A meta-analysis
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Self-citationDisentangling the effects of social network density on electronic word-of-mouth (eWOM) intention
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Cited by
A meta-analysis of online trust relationships in e-commerce.
Kim, Y., & Peterson, R. A. (2017) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2017.01.001 · Cited by 541
The effect of characteristics of source credibility on consumer behaviour: A meta-analysis
Ismagilova, E., Slade, E., Rana, N. P., & Dwivedi, Y. K. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.005 · Cited by 504
Influence of consumer reviews on online purchasing decisions in older and younger adults
von Helversen, B., Abramczuk, K., Kopeć, W., & Nielek, R. (2018) · Decision Support Systems · doi:10.1016/j.dss.2018.05.006 · Cited by 263
The Effects of Culture on Consumers’ Consumption and Generation of Online Reviews
Kim, J. M., Jun, M., & Kim, C. K. (2018) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2018.05.002 · Cited by 118
Johnson, B. K., Potocki, B., & Veldhuis, J. (2019) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmz003 · Cited by 72
Metadata
- Authors
- Purnawirawan, N., Eisend, M., De Pelsmacker, P., & Dens, N.
- Venue
- Journal of Interactive Marketing
- Publisher
- SAGE Publications
- Published
- 2015-08
- Volume
- 31
- Issue
- 1
- Pages
- 17-27
- ISSN
- 1094-9968 (ISSN-L)
- 1520-6653
- OpenAlex
- W849085686
- Cited by
- 320
- References
- 10
- FWCI
- 56.48
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
