2016
DOI: 10.1177/0047287515606810
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Understanding the Impact of Negative and Positive Traveler Reviews

Abstract: This research utilizes theories of social influence and price anchoring to provide insights into the psychological processes underlying travel purchases in the presence of online reviews. Two experiments were conducted in which subjects chose between two resorts for a Las Vegas vacation in a 2 × 3 experimental design that manipulated social influence (unanimous, non-unanimous reviews) and price (10%, 30%, and 50% higher or lower). Social influence was in the form of negative (experiment 1) or positive (experim… Show more

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Cited by 78 publications
(116 citation statements)
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“…Applying social impact theory, an opposing viewpoint reduces the impact of a majority source (Latané & Wolf, ). This finding is consistent with research showing that lack of unanimity significantly reduces the impact of the prevailing review valence (Book et al, , ).…”
Section: Discussionsupporting
confidence: 92%
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“…Applying social impact theory, an opposing viewpoint reduces the impact of a majority source (Latané & Wolf, ). This finding is consistent with research showing that lack of unanimity significantly reduces the impact of the prevailing review valence (Book et al, , ).…”
Section: Discussionsupporting
confidence: 92%
“…The number of sources reflects the number of people in a supporting group and an opposing group (Latané & Wolf, ), which can be applied to the mix of positive and negative reviews. Research indicates that the impact of reviews is significantly reduced when the reviews are not unanimously positive or negative (Book et al, , ). The unanimity principle was found to influence the use of the anchoring heuristic, such that price anchoring only occurred when review valence was unanimously positive (Book et al, ).…”
Section: Literature Reviewmentioning
confidence: 99%
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“…An increase in 'noise' and 'clutter' in the media environment have led to an emphasis by tourism marketers on alternative methods to influence purchase decisions. One example is the attempt to understand the influence of customer reviews on both price anchoring and willingness to pay (Book, Tanford, and Chen 2016).…”
Section: Literature Reviewmentioning
confidence: 99%