Similarities and correlation between resident tourist overnights and Google Trends information in Portugal and its tourism regions
Autor(a) principal: | |
---|---|
Data de Publicação: | 2024 |
Outros Autores: | , |
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. |
id |
RCAP_e08d06163a3e8d98d18d01a9ac55f505 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/940 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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) 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 |
|
_version_ |
1799136449261469696 |