Determinants of revenue per available room: Influential roles of average daily rate, demand, seasonality and yearly trend [Summary]
| dc.contributor.author | Chattopadhyay, Manojit | en |
| dc.contributor.author | Mitra, Subarta Kumar | en |
| dc.date.accessioned | 2018-10-26T16:57:08Z | en |
| dc.date.available | 2018-10-26T16:57:08Z | en |
| dc.date.issued | 2018-09-21 | en |
| dc.description.abstract | Determining price per room to be charged to customers is an important decision to be taken by hotel management. Hotels frequently change their room rates based on the demand of room, occupancy rate, seasonal pattern, and strategies undertaken by other hotels on pricing. We formulated four models to analyse how various influencing variables, such as hotel price, demand, yearly trend and monthly seasonality influence hotel revenue per available room (RevPar). | en |
| dc.description.notes | In Press, Corrected Proof | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/10919/85541 | 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 | Revenue per available room (RevPar) | en |
| dc.subject | Hotel average daily rate (ADR) | en |
| dc.subject | Demand for the roomsForecastingSeasonality | en |
| dc.subject | Yearly trend | en |
| dc.subject | Multivariate Adaptive Regression Splines (MARS) | en |
| dc.subject | Variable importance | en |
| dc.title | Determinants of revenue per available room: Influential roles of average daily rate, demand, seasonality and yearly trend [Summary] | en |
| dc.title.serial | International Journal of Hospitality Management | en |
| dc.type | Summary | en |
| dc.type.dcmitype | Text | en |