2021
DOI: 10.1016/j.chb.2021.106902
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How controversy leads to commitment: Predecisional distortion in reactions to premarket products through online review systems

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Cited by 8 publications
(7 citation statements)
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References 40 publications
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“…Thus, the current study fills in this research gap by proposing a method to calculate the inconsistency, which is the basis of quantifying the relationship between the inconsistency degree and hotel survival. The findings echo the research from financial area on the possible positive effect of negative coverage (Dong et al , 2021), the study from consumer area on the positive effect of the combination of negative information with positive information (Sidnam-Mauch and Bighash, 2021) and the work from restaurant area on the negative effect of online media coverage inconsistency (Li et al , 2022).…”
Section: Discussionsupporting
confidence: 69%
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“…Thus, the current study fills in this research gap by proposing a method to calculate the inconsistency, which is the basis of quantifying the relationship between the inconsistency degree and hotel survival. The findings echo the research from financial area on the possible positive effect of negative coverage (Dong et al , 2021), the study from consumer area on the positive effect of the combination of negative information with positive information (Sidnam-Mauch and Bighash, 2021) and the work from restaurant area on the negative effect of online media coverage inconsistency (Li et al , 2022).…”
Section: Discussionsupporting
confidence: 69%
“…Therefore, H1 is supported. Negative information mixed with positive information can have a positive impact on customers’ purchase behavior in some contexts (Sidnam-Mauch and Bighash, 2021). This result expands the knowledge of the relationship between news inconsistency and firm survival from linear (Li et al , 2022) to non-linear.…”
Section: Resultsmentioning
confidence: 99%
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“…Besides, variance of ratings is a variable related to ratings, which represents the distribution of ratings. Sidnam-Mauch and Bighash (2021) found that the distribution of ratings, such as the extreme ratings, have influence on goods sales. Therefore, we considered the variance of ratings in our model.…”
Section: Methodsmentioning
confidence: 99%