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dc.contributor.authorNieto-Garcia, Martaen
dc.contributor.authorResce, Giulianoen
dc.contributor.authorIshizaka, Alessioen
dc.contributor.authorOcchiocupo, Nicolettaen
dc.contributor.authorViglia, Giampaooloen
dc.date.accessioned2018-10-10T20:40:17Zen
dc.date.available2018-10-10T20:40:17Zen
dc.date.issued2018-09en
dc.identifier.urihttp://hdl.handle.net/10919/85344en
dc.description.abstractOnline ratings provide valuable information to operators. However, the use of this information for revenue maximization purposes remains at a moot point. This article proposes a new method to decompose ratings based on their relevance to hotel performance. From a methodological standpoint, we propose a multi-criteria decision analysis approach. The empirical validation includes two independent data sources, online ratings from Booking.com and RevPAR data from STR.en
dc.format.mimetypeapplication/pdfen
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectOnline ratingsen
dc.subjectHotel attributesen
dc.subjectRevPARen
dc.subjectPROMETHEEen
dc.subjectMulti-criteria decision analysisen
dc.titleThe dimensions of hotel customer ratings that boost RevPAR [Summary]en
dc.typeSummaryen
dc.title.serialInternational Journal of Hospitality Managementen
dc.type.dcmitypeTexten


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Creative Commons Attribution 4.0 International
License: Creative Commons Attribution 4.0 International