Making restaurant reviews useful and/or enjoyable? The impacts of temporal, explanatory, and sensory cues
By Hengyun Li, Chuhan Wang, Fang Meng, Zili Zhang. International Journal of Hospitality Management, 2019
93 citations recorded by the source corpus.
Abstract The purpose of this study is to explore the impacts of temporal, explanatory, and sensory cues on customers’ perceived usefulness and enjoyment toward restaurant online reviews. Text mining approach and econometric analysis are used to examine 186,714 online reviews of 300 restaurants collected from Yelp.com. Empirical results show that temporal cues of online restaurant reviews affect review usefulness but not review enjoyment; explanatory cues have an important effect on both review usefulness and review enjoyment; sensory cues show much stronger effects on review enjoyment than on review usefulness. This study contributes to advancing both theoretical and managerial knowledge on online review management of social media platforms.
Subfields: Artificial Intelligence, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/106cf983098f9548c76eb5345756317f2f1c803e
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In Artificial Intelligence
In Sociology and Political Science
Citations in the corpus
- Destination Image Analytics through Traveller-Generated Content (2019, result): “Other recent studies that have used massive TGC as a data source have been based on reviews of hotels [96,97] or restaurants [98,99].”