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

Detalhes bibliográficos
Autor(a) principal: Pinho, Luís Filipe Antunes
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/123753
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
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spelling ”Planned” or “protected” tourism? towards a planned protection motivation approachTourismTravel IntentionsCOVID-19Theory of Planned BehaviorProtection Motivation TheoryDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsThis 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.Naranjo-Zolotov, Mijail JuanovichPinto, Diego CostaRUNPinho, Luís Filipe Antunes2023-07-22T00:31:16Z2021-07-222021-07-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/123753TID:202762823enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:05:09Zoai:run.unl.pt:10362/123753Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:11.632678Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv ”Planned” or “protected” tourism? towards a planned protection motivation approach
title ”Planned” or “protected” tourism? towards a planned protection motivation approach
spellingShingle ”Planned” or “protected” tourism? towards a planned protection motivation approach
Pinho, Luís Filipe Antunes
Tourism
Travel Intentions
COVID-19
Theory of Planned Behavior
Protection Motivation Theory
title_short ”Planned” or “protected” tourism? towards a planned protection motivation approach
title_full ”Planned” or “protected” tourism? towards a planned protection motivation approach
title_fullStr ”Planned” or “protected” tourism? towards a planned protection motivation approach
title_full_unstemmed ”Planned” or “protected” tourism? towards a planned protection motivation approach
title_sort ”Planned” or “protected” tourism? towards a planned protection motivation approach
author Pinho, Luís Filipe Antunes
author_facet Pinho, Luís Filipe Antunes
author_role author
dc.contributor.none.fl_str_mv Naranjo-Zolotov, Mijail Juanovich
Pinto, Diego Costa
RUN
dc.contributor.author.fl_str_mv Pinho, Luís Filipe Antunes
dc.subject.por.fl_str_mv Tourism
Travel Intentions
COVID-19
Theory of Planned Behavior
Protection Motivation Theory
topic Tourism
Travel Intentions
COVID-19
Theory of Planned Behavior
Protection Motivation Theory
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
publishDate 2021
dc.date.none.fl_str_mv 2021-07-22
2021-07-22T00:00:00Z
2023-07-22T00:31:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/123753
TID:202762823
url http://hdl.handle.net/10362/123753
identifier_str_mv TID:202762823
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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