2020
DOI: 10.3390/su12135408
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Differential Effects of the Valence and Volume of Online Reviews on Customer Share of Visits: The Case of US Casual Dining Restaurant Brands

Abstract: Online customer reviews increasingly influence customer purchase decisions. Indeed, many customers have highlighted the significance of online reviews as an influential source of information. This study reports an investigation of the differential effects of online reviews, such as valence and volume, on the customer share of visits. Our findings suggest that valence (i.e., star rating) had more effect, giving a higher average check size to restaurants on the share of visits, while number reviews (volu… Show more

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Cited by 6 publications
(2 citation statements)
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“…Researchers have used online reviews to explain customer satisfaction or dissatisfaction [ 31 , 46 ] from the marketing and hospitality research field, as well as in other disciplines [ 6 , 37 , 47 , 48 ]. In addition, previous works have shown that the volume of reviews (the number of comments or ratings) could be used as an indicator of satisfaction [ 49 , 50 ].…”
Section: Related Workmentioning
confidence: 99%
“…Researchers have used online reviews to explain customer satisfaction or dissatisfaction [ 31 , 46 ] from the marketing and hospitality research field, as well as in other disciplines [ 6 , 37 , 47 , 48 ]. In addition, previous works have shown that the volume of reviews (the number of comments or ratings) could be used as an indicator of satisfaction [ 49 , 50 ].…”
Section: Related Workmentioning
confidence: 99%
“…In addition, when research methodologies related to big data and natural language processing are introduced, the risk of bias and reliability is reduced by using overwhelmingly more samples than other types of surveys [11]. Based on natural language processing techniques and big data, Dedy and Harrison used these advantages to examine users' use environment through customer reviews [12] and, in other studies, they extracted consumers' choice sets based on reviews [13]. In addition, Park and On classified topics in reviews and conducted an analysis to quantitatively extract consumers' emotional evaluations of product reviews [14].…”
Section: Online Reviewsmentioning
confidence: 99%