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A new forecasting approach for the hospitality industry

Author
Claveria, O.; Monte, E.; Torra Porras, Salvador
Type of activity
Journal article
Journal
International Journal of Contemporary Hospitality Management
Date of publication
2015-10-01
Volume
27
Number
7
First page
1520
Last page
1538
DOI
https://doi.org/10.1108/IJCHM-06-2014-0286 Open in new window
Repository
http://diposit.ub.edu/dspace/handle/2445/67142 Open in new window
http://hdl.handle.net/2117/81289 Open in new window
URL
http://www.emeraldinsight.com/journal/ijchm Open in new window
Abstract
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 ...
Citation
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.
Keywords
Forecasting, Hospitality industry, Management, Neural networks, Spain, Tourism
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants

  • Claveria González, Oscar  (author)
  • Monte Moreno, Enrique  (author)
  • Torra Porras, Salvador  (author)