Identifying hotel revenue management implementation drivers
this research means to globally analyse which variables drive the implementation of revenue management and the specific variables related with its application that have been boosted. we selected the size of the establishment, belonging to a hotel chain, the implementation of revenue management and t...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Universidad de Huelva (UHU) |
| Repositorio: | Arias Montano. Repositorio Institucional de la Universidad de Huelva |
| Idioma: | inglés |
| OAI Identifier: | oai:ariasmontano.uhu.es:10272/19576 |
| Acceso en línea: | http://hdl.handle.net/10272/19576 |
| Access Level: | acceso abierto |
| Palabra clave: | Revenue management Hotel implementation Model Drivers Partial least squares Implantación en hoteles Modelo Impulsores Mínimos cuadrados parciales |
| Sumario: | this research means to globally analyse which variables drive the implementation of revenue management and the specific variables related with its application that have been boosted. we selected the size of the establishment, belonging to a hotel chain, the implementation of revenue management and the use of specific revenue management software as driving forces for its application, as well as possible relations between them. the model verified the repercussion of these aspects on 13 variables related with demand and pricing and 13 with capacity management linked to its implementation. variance-based Structural Equation modelling (plS-SEm) has been used to both build and test the model. we carried out measurements at two moments with a 10- year difference. revenue management has recently been more advanced and sophisticated. Belonging to a chain and the implementation of a revenue management system have been identified as driving forces which positively and significantly influence revenue management application |
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