Understanding tourist recommendation through destination image: A CHAID analysis

Detalhes bibliográficos
Autor(a) principal: Agapito, Dora
Data de Publicação: 2012
Outros Autores: Pinto, Patrícia, Mendes, Júlio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/4342
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 analysisMetodologia CHAIDImagem do destinoRecomendaçãoTuristasPortugalIn 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.Universidade do AlgarveSapientiaAgapito, DoraPinto, PatríciaMendes, Júlio2014-06-17T13:48:20Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/4342eng1646-2408AUT: DLA02368; JME00456; PVA00075info: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:RCAAP2023-07-24T10:15:46ZPortal AgregadorONG
dc.title.none.fl_str_mv 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
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
author_facet Agapito, Dora
Pinto, Patrícia
Mendes, Júlio
author_role author
author2 Pinto, Patrícia
Mendes, Júlio
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Agapito, Dora
Pinto, Patrícia
Mendes, Júlio
dc.subject.por.fl_str_mv Metodologia CHAID
Imagem do destino
Recomendação
Turistas
Portugal
topic 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
2012-01-01T00:00:00Z
2014-06-17T13:48:20Z
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 http://hdl.handle.net/10400.1/4342
url http://hdl.handle.net/10400.1/4342
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1646-2408
AUT: DLA02368; JME00456; PVA00075
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade do Algarve
publisher.none.fl_str_mv Universidade do Algarve
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)
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