European tourist perspective on destination satisfaction: a business analytics approach

• Autor(a) principal: Vieira, Lisa Maria Luís
• Data de Publicação: 2016
• Tipo de documento: Dissertação
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10071/13232
• topic: Data mining; Business intelligence; Tourism; Tourist; Satisfaction; CRISP-DM; Inteligência empresarial; Turismo; Estratégias de marketing; Avaliação; Satisfação do cliente

For many years that tourism information has been collected and stored, allowing increased interest in the data mining (DM) areas. This leads to a need of research and discovery of new patterns to develop automated procedures to improve the tourism knowledge management. The relationship between the tourist characteristics and preferences and the tourist satisfaction was never studied in order to provide useful knowledge to the tourism industry. Therefore, there was the need to investigate the explanatory factors of the tourist satisfaction with the destination to allow the tourism companies to define the correct assumptions about a certain travel. This dissertation used the data from Flash Eurobarometer 414 “Preferences of Europeans towards tourism 2015” with data from the 28 countries of the European Union (EU). A predictive model was obtained for the tourist satisfaction, through the discovery of existing patterns in the process of the tourist travel, using DM techniques on the data referred above. The definition of an explanatory model allowed to obtain useful knowledge for tourism agencies, enabling the development of marketing strategies according to the tourist profile and ensuring development of promotional messages for products and experiences, ensuring that correct assumptions are made about their customers.