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Cited by 197

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Social Word of Mouth: How Trust Develops in the Market

Open access
Hajli, Nick, Lin, Xiaolin, Featherman, Mauricio, Wang, Yichuan·2014·International Journal of Market Research

Abstract

Consumer trust is essential for a business to successfully promote new products and services. This paper develops a trust model from a social commerce perspective by investigating the influence of social commerce constructs on consumer trust in new products and services. By using an empirical study, the results of this research indicate that social commerce constructs could be measured using three dimensions; these are recommendations and referrals, ratings and reviews, and forums and communities. Furthermore, social commerce constructs have a significant positive influence on consumer trust in new products and service. Alternatively, social commerce constructs could generate social word of mouth among potential customers regarding new products and services; this in turn can shape consumer trust. The theoretical and practical implications of these results are discussed.

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Registry

Crossref · 10.2501/ijmr-2014-045

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Metadata

Authors
Hajli, N., Lin, X., Featherman, M., & Wang, Y.
Venue
International Journal of Market Research
Published
2014-09
Volume
56
Issue
5
Pages
673-689
ISSN
  • 1470-7853 (ISSN-L)
  • 2515-2173
OpenAlex
W2027737000
Cited by
197
References
13
FWCI
44.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Social Word of Mouth: How Trust Develops in the Market. https://app.cochat.ai/papers/10.2501/ijmr-2014-045
The paper
Hajli, N., Lin, X., Featherman, M., & Wang, Y. (2014). Social Word of Mouth: How Trust Develops in the Market. International Journal of Market Research. https://doi.org/10.2501/ijmr-2014-045

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.