2019
DOI: 10.1080/02650487.2018.1541391
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The effects of eWOM characteristics on consumer ratings: evidence from TripAdvisor.com

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Cited by 43 publications
(31 citation statements)
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References 47 publications
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“…However, the dynamic effect on the supply of screenings supply was significant in concurrent terms only in the opening week and not in all release days.eWOM valence had a negative impact on the box office revenue and a positive impact on movie supplies. This finding contradicted previous studies (Yoon et al, 2019;Elberse & Eliashberg, 2003). This showed that when consumers cannot judge the quality of a product by scoring, they lowered their quality expectations through independent judgment, thereby reducing the risk of purchasing decisions.…”
Section: Discussioncontrasting
confidence: 89%
See 1 more Smart Citation
“…However, the dynamic effect on the supply of screenings supply was significant in concurrent terms only in the opening week and not in all release days.eWOM valence had a negative impact on the box office revenue and a positive impact on movie supplies. This finding contradicted previous studies (Yoon et al, 2019;Elberse & Eliashberg, 2003). This showed that when consumers cannot judge the quality of a product by scoring, they lowered their quality expectations through independent judgment, thereby reducing the risk of purchasing decisions.…”
Section: Discussioncontrasting
confidence: 89%
“…By using ratings, users indicate their different degrees of satisfaction regarding how their idiosyncratic preferences and the focal product match (Sun, 2012). In that case, there is a high possibility that potential buyers often use the rating to make a purchase decision (Yoon et al, 2019;Minnema et al, 2016). This behavior leads to an increase in product sales, and the influence of eWOM could thus go beyond the concurrent term (Duan et al, 2008).…”
Section: Hypothesesmentioning
confidence: 99%
“…In academic circles there is growing interest in attempts to demonstrate a positive correlation between text comments and numerical ratings ( Kim H.-S. et al, 2015 ; Lee et al, 2017 ; Yoon et al, 2019 ). This would allow unstructured qualitative data about users’ opinions to be transformed into quantitative scores.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For several years, a number of scholars focused on measuring the effect of eWOM on different areas, such as restaurants (Oliveira and Casais, 2019;Zhang et al, 2017), hotels (Litvin, Goldsmith and Pan, 2018), product sales (Li, Wu and Mai, 2019;Yang, Park and Hu, 2018), purchase intention (Kunja and GVRK, 2018), customer value (Hanaysha, 2018), and loyalty (Sijoria, Mukherjee and Datta, 2019). In a similar matter, the literature also approaches consumers' judgment of reviews (e.g., Yoon et al, 2019;Gvili and Levy, 2018). Although the amount of empirical research on the topic of measuring the effect of online reviews is substantial in the marketing literature, thus far researchers have neglected the study of the influence of online reviews from both perspectives -positive and negative -on the consumer's perceptions of brands.…”
Section: Introductionmentioning
confidence: 99%