2012
DOI: 10.1016/j.chb.2012.03.015
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Does source matter? Examining source effects in online product reviews

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Cited by 175 publications
(110 citation statements)
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References 31 publications
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“…Research findings offered an evidence for the growing field of eWOM, which strongly supported and advocated that customer involvement on SNSs, perceived usefulness of SNSs and perceived trust in contacts on SNSs can strongly impact customers' eWOM engagement on SNSs. The multiple regression test findings point out depending on beta values and significance level that; perceived trust in contacts on SNSs is the most influential variable (predictor) on eWOM engagement on SNSs; this result is consistent with previous studies such as (Shu-Chuan&Yoojung, 2011;Dou et al, 2012), and respectively; customer involvement on SNSs found to be consistent with (Fan and Miao, 2012), and inconsistent with (Henk, 2011), whereas perceived usefulness of SNSs found to be consistent with (Maghrabiet.al, 2011). In addition, the findings indicated that habit clearly moderate and support the relationships between the independent www.ccsenet.org/ijbm…”
Section: Results Discussion and Conclusionsupporting
confidence: 80%
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“…Research findings offered an evidence for the growing field of eWOM, which strongly supported and advocated that customer involvement on SNSs, perceived usefulness of SNSs and perceived trust in contacts on SNSs can strongly impact customers' eWOM engagement on SNSs. The multiple regression test findings point out depending on beta values and significance level that; perceived trust in contacts on SNSs is the most influential variable (predictor) on eWOM engagement on SNSs; this result is consistent with previous studies such as (Shu-Chuan&Yoojung, 2011;Dou et al, 2012), and respectively; customer involvement on SNSs found to be consistent with (Fan and Miao, 2012), and inconsistent with (Henk, 2011), whereas perceived usefulness of SNSs found to be consistent with (Maghrabiet.al, 2011). In addition, the findings indicated that habit clearly moderate and support the relationships between the independent www.ccsenet.org/ijbm…”
Section: Results Discussion and Conclusionsupporting
confidence: 80%
“…Promotional campaigns of companies on their SNSs is expected to be ignored by online users, since being company generated and thus perceived as untrustworthy (Diffley et al, 2011). According to (Dou et al, 2012) source credibility is a critical predictor in the early phase when a customer is selecting a Website, and support perceived trustworthiness of content on the site. In addition, individuals' conformity to turn out to be friends and get the profiles of each other's, might leads to improve the reliability of their contacts, and motivate further confidence on social level (Shu-Chuan & Yoojung, 2011).…”
Section: Perceived Trust In Contacts On Snssmentioning
confidence: 99%
“…On the other hand, attributes of online reviews such as contents and quality represent an understudied aspect of eWOM (Kim and Gupta, 2012;Kozinets et al, 2010;Lee and Koo, 2012). Limited research attention also has been paid to source characteristics despite their importance as a criterion of assessing online information credibility (Dou et al 2012).…”
Section: Introductionmentioning
confidence: 99%
“…Next to information provided by online reviews, visual information may also be used as a cue in online environments (e.g., Chittaro & Sioni, 2014;Dou et al, 2012;Lee & Shin, 2014). For instance, in the context of apps, Chittaro and Sioni (2014) found that using visualization in breathing-training apps led to greater improvements compared to apps containing only audio instructions.…”
Section: Visual Rhetoricmentioning
confidence: 99%
“…First, users typically rely on their own past experiences (Fondevila Gascón, Carreras Alcalde, Seebach, & Pesqueira Zamora, 2015). However, when users themselves do not have experiences with a specific product or service themselves, they often rely on past social experiences, or the experiences of other users of similar products or services, as expressed through online reviews (Dou, Walden, Lee, & Lee, 2012;Lee & Shin, 2014;Vermeulen & Seegers, 2009). In the context of product web sites, for instance, online reviews were found to be the most important cue predicting whether or not consumers purchase a product (Fagerstrøm, 2011).…”
Section: Online Reviewsmentioning
confidence: 99%