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The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature

King, Robert Allen, Racherla, Pradeep, Bush, Victoria D.·2014·Journal of Interactive Marketing

Abstract

Electronic word-of mouth (eWOM) has attracted considerable interest from researchers in the past decade. Although the extant research has helped us to develop a good understanding of a number of the issues pertaining to eWOM, several research and managerial questions remain. Furthermore, no attempt has been made to consolidate and synthesize this stream of research. With consumers’ increasing reliance on online retailing and information seeking, as well as the continued growth of social media, the importance of eWOM cannot be overstated. Based on a systematic review of 190 studies, we conduct a multi-dimensional analysis of eWOM communication. We present the key issues in current and emerging literature and propose important questions for future research.

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Metadata

Authors
King, R. A., Racherla, P., & Bush, V. D.
Venue
Journal of Interactive Marketing
Published
2014-08
Volume
28
Issue
3
Pages
167-183
ISSN
  • 1094-9968 (ISSN-L)
  • 1520-6653
OpenAlex
W2046344967
Cited by
1,017
References
19
FWCI
223.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature. https://app.cochat.ai/papers/10.1016/j.intmar.2014.02.001
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King, R. A., Racherla, P., & Bush, V. D. (2014). What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature. Journal of Interactive Marketing. https://doi.org/10.1016/j.intmar.2014.02.001

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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.