Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/286169 
Title (translated): 
Designing a hotel ranking mobility index
Year of Publication: 
2019
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 28 [Year:] 2019 [Pages:] 68-94
Publisher: 
Universidad Pablo de Olavide, Sevilla
Abstract (Translated): 
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).
Subjects: 
TripAdvisor
ranking
hotels
mobility
data mining
JEL: 
L83
Z31
O33
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

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