Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.creatorCentinaio, Alessandra-
dc.creatorComerio, Niccolò-
dc.creatorPacicco, Fausto-
dc.creatorSerati, Massimiliano-
dc.creatorSottrici, Federica-
dc.creatorVenegoni, Andrea-
dc.description.abstractInternet searches and query data have become favorable sources for better forecasts of tourist volumes (Pan et al., 2012; Yang et al., 2014; Yang et al., 2015): search engines are used to plan routes, search for hotels, attractions, travel guides and reviews (Fesenmaier et al., 2011). Thanks to "hybrid models", i.e. the fusion of classical econometric methodologies and machine learning (Makridakis et al., 2018), it is possible to exploit such "big data" to obtain a forecasting performance superior to that of standard models (Li et al., 2017). By proposing an innovative modelling framework, we develop a hybrid model for the Lombardy tourism market, to verify the reliability of the ambitious target of becoming one of the most visited regions in Europe. We find mixed results for the Lombardy provinces, calling for a more refined and micro-founded tourism planning strategy. Furthermore, our framework is easily extendable with other countries and/or research areas, thus providing a valuable tool for assessing such issues.en
dc.publisherWorld business instituteen
dc.relation.ispartofProceedings of 52nd International business research conference, 4 July 2019, LIUC-Università Cattaneo, Milan, Italyen
dc.titleBig data analytics for forecasting tourists' arrivals: the Lombardy casee
dc.typeAbstract in Atti di convegnoit
dc.identifier.bibliographiccitationCentinaio Alessandra, et al. (2019), Big data analytics for forecasting tourists' arrivals: the Lombardy case. In: Bhuiyan Md. Mahbubul Hoque, ed., Proceedings of 52nd International business research conference, 4 July 2019, LIUC-Università Cattaneo, Milan, Italy. (Paper, 203). Melbourne: World business institute. ISBN 978-1-925488-69-2.en
dc.description.conferenceDate4 July 2019en
dc.relation.conferencePlaceLIUC-Università Cattaneo, Milan, Italyen
dc.relation.conferencename52nd International business research conferenceen
dc.relation.alleditorsBhuiyan, Md. Mahbubul Hoque-
Appears in Collections:Contributo in atti di convegno

Files in This Item:
File Description SizeFormat 
  Restricted Access
97,99 kBAdobe PDFView/Open Request a copy

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.