UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS

Detalhes bibliográficos
Autor(a) principal: Agapito, Dora; University of the Algarve
Data de Publicação: 2012
Outros Autores: Valle, Patrícia Oom Do; University of the Algarve, Mendes, Júlio Da Costa; University of the Algarve
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/332
Resumo: In spite of the efforts of marketers and managers to boost a favourable destination image, with a focus on encouraging tourists? revisit, other factors contribute to tourists? decision-making processes with regard to revisiting destinations. Moreover, recommendation from family and friends are considered to be the most credible source of information in the process of choosing a holiday destination, becoming relevant that studies on destination loyalty focus on this variable. Therefore, this research aims to identify the attributes which contribute to tourists? willingness to recommend a destination. The first stage of this study involved identifying the attributes to measure the image of Lagos in the Algarve region, an important Portuguese destination, through open-ended questions. In the second phase, the application of the Chi-Square Automatic Interaction Detector (CHAID) to survey responses from a sample of 379 tourists allowed to identify the features that explain the intention to recommend the destination. The results show that culture is the attribute with the strongest power to explain recommendation, highlighting the need for sun and sand tourism destinations to diversify their offer. Of the seven terminal nodes produced by CHAID, two segments with opposite trends were found, for which profiles were drawn.
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spelling UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSISUNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSISCHAID Analysis; Destination Image; Recommendation; Tourists; PortugalMetodologia CHAID; Imagem do Destino; Recomendação; Turistas; PortugalIn spite of the efforts of marketers and managers to boost a favourable destination image, with a focus on encouraging tourists? revisit, other factors contribute to tourists? decision-making processes with regard to revisiting destinations. Moreover, recommendation from family and friends are considered to be the most credible source of information in the process of choosing a holiday destination, becoming relevant that studies on destination loyalty focus on this variable. Therefore, this research aims to identify the attributes which contribute to tourists? willingness to recommend a destination. The first stage of this study involved identifying the attributes to measure the image of Lagos in the Algarve region, an important Portuguese destination, through open-ended questions. In the second phase, the application of the Chi-Square Automatic Interaction Detector (CHAID) to survey responses from a sample of 379 tourists allowed to identify the features that explain the intention to recommend the destination. The results show that culture is the attribute with the strongest power to explain recommendation, highlighting the need for sun and sand tourism destinations to diversify their offer. Of the seven terminal nodes produced by CHAID, two segments with opposite trends were found, for which profiles were drawn.Apesar de os decisores reunirem esforços na gestão de uma imagem favorável ao destino, outros fatores concorrem na decisão dos turistas em revisitar o destino. A recomendação por parte de amigos e familiares, considerada a fonte de informação mais credível no processo de decisão de escolha do local de férias, deverá ser outra componente da fidelização a abordar. Este estudo visa perceber quais os atributos que explicam a intenção de recomendação do destino. segmentos que correspondem a tendências opostas. Numa primeira fase, identificaram-se os atributos adequados para medir a imagem de Lagos (Algarve), enquanto importante destino de Portugal, através de questões abertas.Chi-Square Automatic Interaction Detector (CHAID) a uma amostra de 379 turistas inquiridos permitiu identificar as variáveis que explicam a intenção de recomendação. Os resultados focam a importância da cultura, enfatizando a necessidade de diversificação da oferta dos destinos focada no sol e praia. Dos sete segmentos identificados pela análise CHAID, definiu-se o perfil dos turistas dos dois Numa segunda fase, a aplicação da técnica de dependênciaUniversity of Algarve2012-02-22T00:00:00Zjournal articlejournal articlejournal articlejournal articlejournal articleinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://tmstudies.net/index.php/ectms/article/view/332oai:ojs.pkp.sfu.ca:article/332Revista Encontros Científicos - Tourism & Management Studies; Vol 7 (2011); 33-42Tourism & Management Studies; Vol 7 (2011); 33-42Tourism & Management Studies; Vol 7 (2011); 33-42Revista Encontros Científicos - Tourism & Management Studies; Vol 7 (2011); 33-422182-8466reponame: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/332https://tmstudies.net/index.php/ectms/article/view/332/547Copyright (c) 2016 Tourism & Management Studieshttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessAgapito, Dora; University of the AlgarveValle, Patrícia Oom Do; University of the AlgarveMendes, Júlio Da Costa; University of the Algarve2022-10-05T04:16:58ZPortal AgregadorONG
dc.title.none.fl_str_mv UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
title UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
spellingShingle UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
Agapito, Dora; University of the Algarve
CHAID Analysis; Destination Image; Recommendation; Tourists; Portugal
Metodologia CHAID; Imagem do Destino; Recomendação; Turistas; Portugal
title_short UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
title_full UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
title_fullStr UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
title_full_unstemmed UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
title_sort UNDERSTANDING TOURIST RECOMMENDATION THROUGH DESTINATION IMAGE: A CHAID ANALYSIS
author Agapito, Dora; University of the Algarve
author_facet Agapito, Dora; University of the Algarve
Valle, Patrícia Oom Do; University of the Algarve
Mendes, Júlio Da Costa; University of the Algarve
author_role author
author2 Valle, Patrícia Oom Do; University of the Algarve
Mendes, Júlio Da Costa; University of the Algarve
author2_role author
author
dc.contributor.author.fl_str_mv Agapito, Dora; University of the Algarve
Valle, Patrícia Oom Do; University of the Algarve
Mendes, Júlio Da Costa; University of the Algarve
dc.subject.por.fl_str_mv CHAID Analysis; Destination Image; Recommendation; Tourists; Portugal
Metodologia CHAID; Imagem do Destino; Recomendação; Turistas; Portugal
topic CHAID Analysis; Destination Image; Recommendation; Tourists; Portugal
Metodologia CHAID; Imagem do Destino; Recomendação; Turistas; Portugal
description In spite of the efforts of marketers and managers to boost a favourable destination image, with a focus on encouraging tourists? revisit, other factors contribute to tourists? decision-making processes with regard to revisiting destinations. Moreover, recommendation from family and friends are considered to be the most credible source of information in the process of choosing a holiday destination, becoming relevant that studies on destination loyalty focus on this variable. Therefore, this research aims to identify the attributes which contribute to tourists? willingness to recommend a destination. The first stage of this study involved identifying the attributes to measure the image of Lagos in the Algarve region, an important Portuguese destination, through open-ended questions. In the second phase, the application of the Chi-Square Automatic Interaction Detector (CHAID) to survey responses from a sample of 379 tourists allowed to identify the features that explain the intention to recommend the destination. The results show that culture is the attribute with the strongest power to explain recommendation, highlighting the need for sun and sand tourism destinations to diversify their offer. Of the seven terminal nodes produced by CHAID, two segments with opposite trends were found, for which profiles were drawn.
publishDate 2012
dc.date.none.fl_str_mv 2012-02-22T00:00:00Z
dc.type.driver.fl_str_mv journal article
journal article
journal article
journal article
journal article
info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://tmstudies.net/index.php/ectms/article/view/332
oai:ojs.pkp.sfu.ca:article/332
url https://tmstudies.net/index.php/ectms/article/view/332
identifier_str_mv oai:ojs.pkp.sfu.ca:article/332
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://tmstudies.net/index.php/ectms/article/view/332
https://tmstudies.net/index.php/ectms/article/view/332/547
dc.rights.driver.fl_str_mv Copyright (c) 2016 Tourism & Management Studies
http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 Tourism & Management Studies
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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; Vol 7 (2011); 33-42
Tourism & Management Studies; Vol 7 (2011); 33-42
Tourism & Management Studies; Vol 7 (2011); 33-42
Revista Encontros Científicos - Tourism & Management Studies; Vol 7 (2011); 33-42
2182-8466
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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