Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/1072
Título: The importance of online tourism demand
Autor: Ramos, Célia M. Q.
Rodrigues, Paulo M. M.
Palavras-chave: etourism
Information and communication technologies
Tourism demand
Panel data
Tourism information systems
Data: 2010
Editora: INE
Resumo: In recent decades, the combination of tourism and Information and Communication Technologies (ICT), has originated considerable changes in tourists’ behaviour. The analysis of tourism demand resulting from the Internet is of growing importance, given the increasing number of online reservations observed in recent years. However, in order to analyse the new trends caused by online bookings, the availability of data enabling the measurement and characterization of this phenomenon is essential. This has, however, been a considerable limitation, given that either no data on key variables is available or the available data is sometimes of questionable quality. For professionals and researchers in the area of tourism, the high volume of tourists who use the Internet to make hotel and travel reservations is worth of consideration, given that it may potentiate the discovery of new source markets, the identification of clients with different characteristics and may help explain the dynamics between suppliers or countries. The existence of predictive studies to support decision-making and planning, by professionals of the tourism sector, is of great importance. Panel data models are a useful and appropriate method for the analysis and modelling of tourism demand. These models consider both the time series and the cross-sectional dimensions of the data and allow for the inclusion of social variables. The results of estimation of tourism demand, through panel data models, show that the Internet and the sharp technological development have encouraged the increasing demand for tourism. The growing number of tourism companies online will naturally promote or potentiate an increase of tourism demand.
Peer review: yes
URI: http://hdl.handle.net/10400.1/1072
Versão do Editor: http://10thtourismstatisticsforum.ine.pt/
Aparece nas colecções:ESG3-Livros (ou partes, com ou sem arbitragem científica)

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