The dimensions of hotel customer ratings that boost RevPAR [Summary]
| dc.contributor.author | Nieto-García, Marta | en |
| dc.contributor.author | Resce, Giuliano | en |
| dc.contributor.author | Ishizaka, Alessio | en |
| dc.contributor.author | Occhiocupo, Nicoletta | en |
| dc.contributor.author | Viglia, Giampaolo | en |
| dc.date.accessioned | 2018-10-10T20:40:17Z | en |
| dc.date.available | 2018-10-10T20:40:17Z | en |
| dc.date.issued | 2018-09 | en |
| dc.description.abstract | Online 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.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/10919/85344 | en |
| dc.language.iso | en_US | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Online ratings | en |
| dc.subject | Hotel attributes | en |
| dc.subject | RevPAR | en |
| dc.subject | PROMETHEE | en |
| dc.subject | Multi-criteria decision analysis | en |
| dc.title | The dimensions of hotel customer ratings that boost RevPAR [Summary] | en |
| dc.title.serial | International Journal of Hospitality Management | en |
| dc.type | Summary | en |
| dc.type.dcmitype | Text | en |