dc.contributor.author
Clavería González, Óscar
dc.contributor.author
Monte Moreno, Enric
dc.contributor.author
Torra Porras, Salvador
dc.date.issued
2015-10-06T07:52:48Z
dc.date.issued
2015-10-06T07:52:48Z
dc.date.issued
2015-10-06T07:52:48Z
dc.identifier
https://hdl.handle.net/2445/67142
dc.description.abstract
This study aims to apply a new forecasting approach to improve predictions in the hospitality industry. In order to do so we develop a multivariate setting that allows incorporating the cross-correlations in the evolution of tourist arrivals from visitor markets to a specific destination in Neural Network models.
dc.format
application/pdf
dc.relation
Versió postprint del document publicat a: http://dx.doi.org/10.1108/IJCHM-06-2014-0286
dc.relation
International Journal of Contemporary Hospitality Management, 2015, vol. 27, num. 7, p. 1520-1538
dc.relation
http://dx.doi.org/10.1108/IJCHM-06-2014-0286
dc.rights
(c) Emerald, 2015
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)
dc.subject
Previsió econòmica
dc.subject
Desenvolupament econòmic
dc.subject
Xarxes neuronals (Informàtica)
dc.subject
Economic forecasting
dc.subject
Economic development
dc.subject
Neural networks (Computer science)
dc.title
A new forecasting approach for the hospitality industry
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/acceptedVersion
