Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/87533
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dc.contributorSchool of Hotel and Tourism Management-
dc.creatorOlivia, Park, Een_US
dc.creatorKevin, Chae, Ben_US
dc.creatorKwon, Jen_US
dc.creatorKim, W-Hen_US
dc.date.accessioned2020-07-16T03:57:59Z-
dc.date.available2020-07-16T03:57:59Z-
dc.identifier.urihttp://hdl.handle.net/10397/87533-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.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/).en_US
dc.rightsThe 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/su12072843en_US
dc.subjectCustomer satisfactionen_US
dc.subjectGreen restauranten_US
dc.subjectTopic modelingen_US
dc.subjectUser-generated contenten_US
dc.titleThe effects of green restaurant attributes on customer satisfaction using the structural topic model on online customer reviewsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume12en_US
dc.identifier.issue7en_US
dc.identifier.doi10.3390/su12072843en_US
dcterms.abstractAlthough 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationSustainability, 2020, v. 12, no. 7, 2843en_US
dcterms.isPartOfSustainabilityen_US
dcterms.issued2020-
dc.identifier.isiWOS:000531558100268-
dc.identifier.scopus2-s2.0-85083503674-
dc.identifier.eissn2071-1050en_US
dc.identifier.artn2843en_US
dc.description.validate202007 bcma-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.pubStatusPublisheden_US
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