Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions

Detalhes bibliográficos
Autor(a) principal: Dinis, Maria Gorete Ferreira
Data de Publicação: 2024
Outros Autores: Costa, Carlos Manuel Martins, Pacheco, Osvaldo Manuel Rocha
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://tmstudies.net/index.php/ectms/article/view/940
Resumo: Over the last years, we observed an exponential growth in the number of tourism consumers that use the Internet as a source of information during a destination selection process. This process usually starts in a search engine, more specifically and likely on Google. Google Trends is a tool that displays data on the interest of people in a particular topic based on search trends. This data can probably be used by tourism organisations to help perform intelligent decision making, since it is available almost in real time and much earlier than the official statistical data. Indeed, this paper demonstrates that Google Trends is a tool that can provide useful and relevant information about the interests of individuals in relation to domestic tourism destinations at national and regional levels, and is focused on Google-search data regarding mainland Portugal and its tourism regions: North, Centre, Alentejo and Algarve. Our findings indicate that overnights spent in hotel establishments by the residents in Portugal are strongly correlated with the Google index, mainly in mainland Portugal, Alentejo and Algarve regions, and that the results improve when more municipalities names and the national or the regional tourism brands are included as search terms.
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spelling Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regionsGoogle TrendsDomestic tourismsearch dataPortugalBig Data.Over the last years, we observed an exponential growth in the number of tourism consumers that use the Internet as a source of information during a destination selection process. This process usually starts in a search engine, more specifically and likely on Google. Google Trends is a tool that displays data on the interest of people in a particular topic based on search trends. This data can probably be used by tourism organisations to help perform intelligent decision making, since it is available almost in real time and much earlier than the official statistical data. Indeed, this paper demonstrates that Google Trends is a tool that can provide useful and relevant information about the interests of individuals in relation to domestic tourism destinations at national and regional levels, and is focused on Google-search data regarding mainland Portugal and its tourism regions: North, Centre, Alentejo and Algarve. Our findings indicate that overnights spent in hotel establishments by the residents in Portugal are strongly correlated with the Google index, mainly in mainland Portugal, Alentejo and Algarve regions, and that the results improve when more municipalities names and the national or the regional tourism brands are included as search terms.University of Algarve2024-01-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/zipimage/jpegapplication/zipapplication/ziphttps://tmstudies.net/index.php/ectms/article/view/940Revista Encontros Científicos - Tourism & Management Studies; v. 13 n. 3 (2017); 15-22Tourism & Management Studies; Vol. 13 N.º 3 (2017); 15-22Tourism & Management Studies; Vol. 13 No. 3 (2017); 15-22Revista Encontros Científicos - Tourism & Management Studies; Vol. 13 Núm. 3 (2017); 15-222182-8466reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://tmstudies.net/index.php/ectms/article/view/940https://tmstudies.net/index.php/ectms/article/view/940/2351https://tmstudies.net/index.php/ectms/article/view/940/2162https://tmstudies.net/index.php/ectms/article/view/940/2163https://tmstudies.net/index.php/ectms/article/view/940/2164https://tmstudies.net/index.php/ectms/article/view/940/2165Copyright (c) 2017 Tourism & Management Studiesinfo:eu-repo/semantics/openAccessDinis, Maria Gorete FerreiraCosta, Carlos Manuel MartinsPacheco, Osvaldo Manuel Rocha2024-01-10T10:35:23Zoai:ojs.pkp.sfu.ca:article/940Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:56:25.754012Repositório 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 Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
spellingShingle Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
Dinis, Maria Gorete Ferreira
Google Trends
Domestic tourism
search data
Portugal
Big Data.
title_short Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title_full Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title_fullStr Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title_full_unstemmed Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
title_sort Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
author Dinis, Maria Gorete Ferreira
author_facet Dinis, Maria Gorete Ferreira
Costa, Carlos Manuel Martins
Pacheco, Osvaldo Manuel Rocha
author_role author
author2 Costa, Carlos Manuel Martins
Pacheco, Osvaldo Manuel Rocha
author2_role author
author
dc.contributor.author.fl_str_mv Dinis, Maria Gorete Ferreira
Costa, Carlos Manuel Martins
Pacheco, Osvaldo Manuel Rocha
dc.subject.por.fl_str_mv Google Trends
Domestic tourism
search data
Portugal
Big Data.
topic Google Trends
Domestic tourism
search data
Portugal
Big Data.
description Over the last years, we observed an exponential growth in the number of tourism consumers that use the Internet as a source of information during a destination selection process. This process usually starts in a search engine, more specifically and likely on Google. Google Trends is a tool that displays data on the interest of people in a particular topic based on search trends. This data can probably be used by tourism organisations to help perform intelligent decision making, since it is available almost in real time and much earlier than the official statistical data. Indeed, this paper demonstrates that Google Trends is a tool that can provide useful and relevant information about the interests of individuals in relation to domestic tourism destinations at national and regional levels, and is focused on Google-search data regarding mainland Portugal and its tourism regions: North, Centre, Alentejo and Algarve. Our findings indicate that overnights spent in hotel establishments by the residents in Portugal are strongly correlated with the Google index, mainly in mainland Portugal, Alentejo and Algarve regions, and that the results improve when more municipalities names and the national or the regional tourism brands are included as search terms.
publishDate 2024
dc.date.none.fl_str_mv 2024-01-08
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://tmstudies.net/index.php/ectms/article/view/940
url https://tmstudies.net/index.php/ectms/article/view/940
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://tmstudies.net/index.php/ectms/article/view/940
https://tmstudies.net/index.php/ectms/article/view/940/2351
https://tmstudies.net/index.php/ectms/article/view/940/2162
https://tmstudies.net/index.php/ectms/article/view/940/2163
https://tmstudies.net/index.php/ectms/article/view/940/2164
https://tmstudies.net/index.php/ectms/article/view/940/2165
dc.rights.driver.fl_str_mv Copyright (c) 2017 Tourism & Management Studies
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Tourism & Management Studies
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/zip
image/jpeg
application/zip
application/zip
dc.publisher.none.fl_str_mv University of Algarve
publisher.none.fl_str_mv University of Algarve
dc.source.none.fl_str_mv Revista Encontros Científicos - Tourism & Management Studies; v. 13 n. 3 (2017); 15-22
Tourism & Management Studies; Vol. 13 N.º 3 (2017); 15-22
Tourism & Management Studies; Vol. 13 No. 3 (2017); 15-22
Revista Encontros Científicos - Tourism & Management Studies; Vol. 13 Núm. 3 (2017); 15-22
2182-8466
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
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