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http://hdl.handle.net/10397/87533
Title: | The effects of green restaurant attributes on customer satisfaction using the structural topic model on online customer reviews | Authors: | Olivia, Park, E Kevin, Chae, B Kwon, J Kim, W-H |
Issue Date: | 2020 | Source: | Sustainability, 2020, v. 12, no. 7, 2843 | 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. | Keywords: | Customer satisfaction Green restaurant Topic modeling User-generated content |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Sustainability | EISSN: | 2071-1050 | DOI: | 10.3390/su12072843 | Rights: | © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). The following publication Park EO, Chae BK, Kwon J, Kim W-H. The Effects of Green Restaurant Attributes on Customer Satisfaction Using the Structural Topic Model on Online Customer Reviews. Sustainability. 2020; 12(7):2843, is available at https://doi.org/10.3390/su12072843 |
Appears in Collections: | Journal/Magazine Article |
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Park_effects_green_restaurant.pdf | 1.18 MB | Adobe PDF | View/Open |
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