Predictors of review sites usage in hotels

Detalhes bibliográficos
Autor(a) principal: Perez-Aranda,Javier
Data de Publicação: 2017
Outros Autores: Anaya-Sanchez,Rafael, Ruizalba,Jose
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=S2182-84582017000200005
Resumo: The tourism industry has been strongly impacted by the consumer use of review sites. Since review travel sites such as TripAdvisor allowed accommodations to create own profiles with information, hotels began incorporating these actions into their engaging customers programming. Despite the benefits that review sites can offer to customers, hotels and accommodations, its implementation is not developed and exploited in all its possibilities, and little is known about hotels use of this review sites. This study explores the topic trough quantitative methodology, conducting multiple correlation analysis of data obtained from a sample of 301 hotel managers. Managers consider they are committed to this type of platforms and are capable of use it accurately. Also it was found evidence of correlation between use of TripAdvisor and hotel characteristics (size, ownership structure, and category). Furthermore, multiple regression analysis shows competence and commitment as the most important predictors of use intensity
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spelling Predictors of review sites usage in hotelsReview siteseWOMtourismhotel sectorpredictorsThe tourism industry has been strongly impacted by the consumer use of review sites. Since review travel sites such as TripAdvisor allowed accommodations to create own profiles with information, hotels began incorporating these actions into their engaging customers programming. Despite the benefits that review sites can offer to customers, hotels and accommodations, its implementation is not developed and exploited in all its possibilities, and little is known about hotels use of this review sites. This study explores the topic trough quantitative methodology, conducting multiple correlation analysis of data obtained from a sample of 301 hotel managers. Managers consider they are committed to this type of platforms and are capable of use it accurately. Also it was found evidence of correlation between use of TripAdvisor and hotel characteristics (size, ownership structure, and category). Furthermore, multiple regression analysis shows competence and commitment as the most important predictors of use intensityEscola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve2017-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000200005Tourism & Management Studies v.13 n.2 2017reponame: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=S2182-84582017000200005Perez-Aranda,JavierAnaya-Sanchez,RafaelRuizalba,Joseinfo:eu-repo/semantics/openAccess2024-02-06T17:29:08Zoai:scielo:S2182-84582017000200005Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:33:12.237952Repositório 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 Predictors of review sites usage in hotels
title Predictors of review sites usage in hotels
spellingShingle Predictors of review sites usage in hotels
Perez-Aranda,Javier
Review sites
eWOM
tourism
hotel sector
predictors
title_short Predictors of review sites usage in hotels
title_full Predictors of review sites usage in hotels
title_fullStr Predictors of review sites usage in hotels
title_full_unstemmed Predictors of review sites usage in hotels
title_sort Predictors of review sites usage in hotels
author Perez-Aranda,Javier
author_facet Perez-Aranda,Javier
Anaya-Sanchez,Rafael
Ruizalba,Jose
author_role author
author2 Anaya-Sanchez,Rafael
Ruizalba,Jose
author2_role author
author
dc.contributor.author.fl_str_mv Perez-Aranda,Javier
Anaya-Sanchez,Rafael
Ruizalba,Jose
dc.subject.por.fl_str_mv Review sites
eWOM
tourism
hotel sector
predictors
topic Review sites
eWOM
tourism
hotel sector
predictors
description The tourism industry has been strongly impacted by the consumer use of review sites. Since review travel sites such as TripAdvisor allowed accommodations to create own profiles with information, hotels began incorporating these actions into their engaging customers programming. Despite the benefits that review sites can offer to customers, hotels and accommodations, its implementation is not developed and exploited in all its possibilities, and little is known about hotels use of this review sites. This study explores the topic trough quantitative methodology, conducting multiple correlation analysis of data obtained from a sample of 301 hotel managers. Managers consider they are committed to this type of platforms and are capable of use it accurately. Also it was found evidence of correlation between use of TripAdvisor and hotel characteristics (size, ownership structure, and category). Furthermore, multiple regression analysis shows competence and commitment as the most important predictors of use intensity
publishDate 2017
dc.date.none.fl_str_mv 2017-06-01
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=S2182-84582017000200005
url http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000200005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582017000200005
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 v.13 n.2 2017
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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