Abstract
Restaurant review websites have mushroomed in popularity – and proliferated – as people increasingly go online to share and gather information about what they can expect of a dining experience at a particular restaurant. However, the extent to which potential diners are likely to accept information posted on these review websites, when making dining decisions, has not yet been fully explored. Dr. Juhee Kang reports a predictive model, designed with a collaborator to establish the influence of various factors on a review website user’s attitude and intention to dine at a restaurant.
Original Article
Salehi-Esfahani, S. & Kang, J. (2019). Why do you use Yelp? Analysis of factors influencing customers’ website adoption and dining behavior. International Journal of Hospitality Management, 78, pp 179–188. https://doi.org/10.1016/j.ijhm.2018.12.002
Recommended Citation
Kang, Juhee
(2020)
"Can Dining Decisions be Predicted from Restaurant Review Websites?,"
Rosen Research Review: Vol. 2:
Iss.
1, Article 16.
Available at:
https://stars.library.ucf.edu/rosen-research-review/vol2/iss1/16
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