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A new forecasting approach for the hospitality industry

Autor
Claveria, O.; Monte, E.; Torra Porras, Salvador
Tipus d'activitat
Article en revista
Revista
International Journal of Contemporary Hospitality Management
Data de publicació
2015-10-01
Volum
27
Número
7
Pàgina inicial
1520
Pàgina final
1538
DOI
https://doi.org/10.1108/IJCHM-06-2014-0286 Obrir en finestra nova
Repositori
http://diposit.ub.edu/dspace/handle/2445/67142 Obrir en finestra nova
http://hdl.handle.net/2117/81289 Obrir en finestra nova
URL
http://www.emeraldinsight.com/journal/ijchm Obrir en finestra nova
Resum
Purpose – This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. To do so, the authors developed a multivariate setting that allows the incorporation of the cross-correlations in the evolution of tourist arrivals from visitor markets to a specific destination in neural network models. Design/methodology/approach – This multiple-input-multiple-output approach allows the generation of predictions for all visitor markets simultaneously. Official ...
Citació
Claveria, O., Monte, E., Torra Porras, S. A new forecasting approach for the hospitality industry. "International Journal of Contemporary Hospitality Management", 01 Octubre 2015, vol. 27, núm. 7, p. 1520-1538.
Paraules clau
Forecasting, Hospitality industry, Management, Neural networks, Spain, Tourism
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants