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”Planned” or “protected” tourism? towards a planned protection motivation approach

dc.contributor.advisorNaranjo-Zolotov, Mijail Juanovich
dc.contributor.advisorPinto, Diego Costa
dc.contributor.authorPinho, Luís Filipe Antunes
dc.date.accessioned2021-09-03T13:05:33Z
dc.date.available2023-07-22T00:31:16Z
dc.date.issued2021-07-22
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analyticspt_PT
dc.description.abstractThis research aims to develop a new Planned-Protection-Motivation (PPM) approach on tourism research. Drawing on Protection Motivation and Planned Behavior theories, the proposed model combines the beliefs on travel intentions as well as the perceived level of threat and familiarity with the pandemic. Using PLS-SEM multi-group analysis, and a sample of 381 European travelers, this study aims to understand consumers’ demand for travel given the pandemic. Findings showed that consumers’ attitudes and social influence are the main drivers of travel intentions. Moreover, social influence moderates COVID-19 travelers’ fear effects on attitudes and improves travel intentions. However, consumers who have not travelled have mixed feelings, and both response cost and fear negatively influence their travel intentions. The findings represent a shift in the tourism, deepening the understanding of customer motivation for traveling during the pandemic.pt_PT
dc.identifier.tid202762823pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/123753
dc.language.isoengpt_PT
dc.subjectTourismpt_PT
dc.subjectTravel Intentionspt_PT
dc.subjectCOVID-19pt_PT
dc.subjectTheory of Planned Behaviorpt_PT
dc.subjectProtection Motivation Theorypt_PT
dc.title”Planned” or “protected” tourism? towards a planned protection motivation approachpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.embargofct"Submission to a journal, to be published as paper"pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Ciência de Dados e Métodos Analíticos Avançados, com especialização em Métodos Analíticos para a Gestãopt_PT

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