2014
DOI: 10.1002/asi.23180
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Understanding review helpfulness as a function of reviewer reputation, review rating, and review depth

Abstract: This article examines review helpfulness as a function of reviewer reputation, review rating, and review depth. In drawing data from the popular review platform Amazon, results indicate that review helpfulness is positively related to reviewer profile and review depth but is negatively related to review rating. Users seem to have a proclivity for reviews contributed by reviewers with a positive track record. They also appreciate reviews with lambasting comments and those with adequate depth. By highlighting it… Show more

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Cited by 162 publications
(120 citation statements)
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References 41 publications
(93 reference statements)
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“…The changing nature of customer influence presents businesses with risks as well as opportunities (Henning-Thurau, Walsh, 2003). In order to mitigate threats on revenue or reputation, companies are forced to develop monitoring capabilities and quick responding in diverse review platforms (Becker & Nobre, 2014;Chua & Banerjee, 2015). To do this effectively, companies need to understand the dynamics of online consumer reviews and the impact of consumer review platforms where customer reviews and comments are posted.…”
Section: Introductionmentioning
confidence: 99%
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“…The changing nature of customer influence presents businesses with risks as well as opportunities (Henning-Thurau, Walsh, 2003). In order to mitigate threats on revenue or reputation, companies are forced to develop monitoring capabilities and quick responding in diverse review platforms (Becker & Nobre, 2014;Chua & Banerjee, 2015). To do this effectively, companies need to understand the dynamics of online consumer reviews and the impact of consumer review platforms where customer reviews and comments are posted.…”
Section: Introductionmentioning
confidence: 99%
“…Other studies have focused on mechanisms of average online ratings and the characteristics (number, depth or length) of online reviews (Chua & Banerjee, 2015;Zhu & Zhang, 2010), on contextual factors like the content or variance of reviews and their impact on sales or purchasing behavior (Floh et al, 2013). Trust expressed in popularity of a blogger (Huang L.-S., 2015) or review helpfulness (Chua & Banerjee, 2015) have been also analyzed. Research also suggest the testing for moderating variables (Floh et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
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“…The persuasiveness of an online review is determined by the credibility of its source (the advisor), because online reviews are written by advisors with varied backgrounds and motivations [4]. Advisors can write reviews no matter if they are capable of assessing a product critically or not (e.g., layperson versus expert).…”
Section: Introductionmentioning
confidence: 99%