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Creación de un índice de movilidad para rankings de hoteles

  • José Luis Ximénez de Sandoval [1] ; Antonio Fernández-Morales [1] ; Antonio Guevara-Plaza [1]
    1. [1] Universidad de Málaga

      Universidad de Málaga

      Málaga, España

  • Localización: Revista de métodos cuantitativos para la economía y la empresa, ISSN-e 1886-516X, Vol. 28, 2019, págs. 68-94
  • Idioma: español
  • DOI: 10.46661/revmetodoscuanteconempresa.3060
  • Títulos paralelos:
    • Designing a hotel ranking mobility index
  • Enlaces
  • Resumen
    • español

      Los rankings de hoteles ejercen gran influencia sobre los turistas a la hora de elegir un hotel. Los hoteleros también se esfuerzan por aparecer en lo más alto de la clasificación. Sin embargo, la evolución de estos rankings a lo largo del tiempo ha sido poco estudiada, por lo que es necesario profundizar en su análisis debido a las importantes implicaciones que tiene para los empresarios. ¿Permanecen los hoteles en las mismas posiciones o por el contrario experimentan grandes cambios en la clasificación? Este trabajo trata de aportar nuevas herramientas para el análisis de estos rankings con la creación de un índice que mide la movilidad de un hotel en el ranking de su ciudad. Se aplicará el modelo a una muestra de 727 hoteles con datos extraídos de Tripadvisor en cinco ciudades españolas (Barcelona, Madrid, Sevilla, Valencia y Zaragoza)

    • English

      Hotel rankings exert great influence on tourists when choosing a hotel. The hoteliers also strive to appear at the top of the ranking. However, the evolution over time of these rankings has been little studied, so it is necessary due to the important implications for entrepreneurs to deepen the analysis to answer questions like this: Do the hotels stay in the same (or quite similar) positions or do they experience big changes in the classification? This work tries to provide new tools for the analysis of these rankings with the creation of an index that measures the mobility of a hotel in the ranking. The model will be applied to a sample of 727 hotels with data extracted from Tripadvisor in five Spanish cities (Barcelona, Madrid, Seville, Valencia and Zaragoza)

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