The Effects of Green Restaurant Attributes on Customer Satisfaction Using the Structural Topic Model on Online Customer Reviews
- Authors
- Park, Eunhye (Olivia); Chae, Bongsug (Kevin); Kwon, Junehee; Kim, Woo-Hyuk
- Issue Date
- Apr-2020
- Publisher
- MDPI
- Keywords
- green restaurant; user-generated content; customer satisfaction; topic modeling
- Citation
- SUSTAINABILITY, v.12, no.7
- Journal Title
- SUSTAINABILITY
- Volume
- 12
- Number
- 7
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/80033
- DOI
- 10.3390/su12072843
- ISSN
- 2071-1050
- Abstract
- Although green practice is increasingly adopted in the restaurant industry, there is still little research in terms of investigating the impacts of green practice on customer satisfaction. This study utilized user-generated content by green restaurant customers to identify various aspects of green restaurants, including perceived green restaurant practices. Our data are based on U.S. green-certified restaurants available on Yelp. Structural topic modeling was used to discover latent restaurant attributes from user-generated content. With a longitudinal approach, the changes in customers' interest in green practices were estimated. Finally, the common restaurant attributes and green attributes were used to predict customer satisfaction. This study will contribute to marketing strategies for the restaurant industry.
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Collections - 바이오나노대학 > 식품영양학과 > 1. Journal Articles
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