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Título del libro: Teaching Cases In Tourism, Hospitality And Events
Título del capítulo: The role of locational factors in influencing the overall rating experience of hotel visitors: An application of tripadvisor data in Barcelona

Autores UNAM:
MARIA ISABEL OSORIO CABALLERO;
Autores externos:

Idioma:

Año de publicación:
2023
Palabras clave:

Big data analysis; Business model; Destination management; Managing service quality; Quality rating; Site or location choice; Social networks' analysis; Text mining


Resumen:

The analysis of data provided by tourism platforms through Web 2.0 opens new ways to investigate how to improve trip experiences from a destination management organization's (DMO) perspective. This case study builds on Tripadvisor users' generated content to analyse the lodging experience and overall rating by around 70,000 hotel visitors in the city of Barcelona. The online reviews are processed using text mining and depuration techniques. The overall rating of the hotel stay is then explained by a set of covariates, mostly including locational and services rates' perception (room quality, cleanliness, room service, etc.) by means of a regression analysis using an ordered probit model. Through the case, we will learn to: (i) prepare the data set for the experiment; and (ii) run the model and discuss the main findings. © CAB International 2023. All rights reserved.


Entidades citadas de la UNAM: