Harnessing big data to inform tourism destination management organizations

Detalhes bibliográficos
Autor(a) principal: Fonseca, João Pedro Martins Ribeiro da
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/106386
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Harnessing big data to inform tourism destination management organizationsTourismTelecomSocial mediaAirbnbSharing EconomyGentrificationTourism FlowsDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceIn the last few years, Portugal has been witnessing a rapid growth of tourism, which reflects positively in many aspects, especially in what regards economic factors. Although, it also leads to a number of challenges, all of them difficult to quantify: tourist congestions, loss of city identity, degradation of patrimony, etc. It is important to ensure that the required foundations and tools to understand and efficiently manage tourism flows exist, both in the city-level and country-level. This thesis studies the potential of Big data to inform destination management organizations. To do so, three sources of Big data are discussed: Telecom, Social media and Airbnb data. This is done through the demonstration and analysis of a set of visualizations and tools, as well as a discussion of applications and recommendations for challenges that have been identified in the market. The study begins with a background information section, where both global and local trends in tourism will be analyzed, as well as the factors that affect tourism and consequences of the latter. As a way to analyze the growth of tourism in Portugal and provide prototypes of important tools for the development of data driven tourism policy making, Airbnb and telecom data are analyzed using a network science approach to visualize country-wide tourist circulation and presents a model to retrieve and analyze social media. In order to compare the results from the Airbnb analysis, data regarding the Portuguese hotel industry is used as control data.Zejnilović, LeidNeto, Miguel de Castro Simões FerreiraRUNFonseca, João Pedro Martins Ribeiro da2020-10-30T14:57:16Z2019-01-252019-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/106386TID:202531872enginfo: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:RCAAP2024-03-11T04:51:25Zoai:run.unl.pt:10362/106386Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:43.040788Repositório 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 Harnessing big data to inform tourism destination management organizations
title Harnessing big data to inform tourism destination management organizations
spellingShingle Harnessing big data to inform tourism destination management organizations
Fonseca, João Pedro Martins Ribeiro da
Tourism
Telecom
Social media
Airbnb
Sharing Economy
Gentrification
Tourism Flows
title_short Harnessing big data to inform tourism destination management organizations
title_full Harnessing big data to inform tourism destination management organizations
title_fullStr Harnessing big data to inform tourism destination management organizations
title_full_unstemmed Harnessing big data to inform tourism destination management organizations
title_sort Harnessing big data to inform tourism destination management organizations
author Fonseca, João Pedro Martins Ribeiro da
author_facet Fonseca, João Pedro Martins Ribeiro da
author_role author
dc.contributor.none.fl_str_mv Zejnilović, Leid
Neto, Miguel de Castro Simões Ferreira
RUN
dc.contributor.author.fl_str_mv Fonseca, João Pedro Martins Ribeiro da
dc.subject.por.fl_str_mv Tourism
Telecom
Social media
Airbnb
Sharing Economy
Gentrification
Tourism Flows
topic Tourism
Telecom
Social media
Airbnb
Sharing Economy
Gentrification
Tourism Flows
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2019
dc.date.none.fl_str_mv 2019-01-25
2019-01-25T00:00:00Z
2020-10-30T14:57:16Z
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/10362/106386
TID:202531872
url http://hdl.handle.net/10362/106386
identifier_str_mv TID:202531872
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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