Understanding tourist recommendation through destination image: a chaid analysis
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100004 |
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 to relatives and friends. 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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7160 |
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Understanding tourist recommendation through destination image: a chaid analysisCHAID AnalysisDestination ImageRecommendationTouristsPortugalIn 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 to relatives and friends. 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.Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve2011-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100004Tourism & Management Studies n.7 2011reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100004Agapito,DoraOom do Valle,PatríciaMendes,Júlio da Costainfo:eu-repo/semantics/openAccess2024-02-06T17:28:50Zoai:scielo:S2182-84582011000100004Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:32:58.866284Repositório 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 |
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 CHAID Analysis Destination Image Recommendation Tourists 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 Oom do Valle,Patrícia Mendes,Júlio da Costa |
author_role |
author |
author2 |
Oom do Valle,Patrícia Mendes,Júlio da Costa |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Agapito,Dora Oom do Valle,Patrícia Mendes,Júlio da Costa |
dc.subject.por.fl_str_mv |
CHAID Analysis Destination Image Recommendation Tourists Portugal |
topic |
CHAID Analysis Destination Image Recommendation Tourists 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 to relatives and friends. 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 |
2011 |
dc.date.none.fl_str_mv |
2011-12-01 |
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://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100004 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582011000100004 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve |
publisher.none.fl_str_mv |
Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve |
dc.source.none.fl_str_mv |
Tourism & Management Studies n.7 2011 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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1799137390166540288 |