Review manipolation in the hotel industry: the case of one- time contributors

Detalhes bibliográficos
Autor(a) principal: Diaz, Daniel dos Santos
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/22387
Resumo: Although, review manipulation has shown to have a significant adverse impact on consumer welfare, there is yet little understanding of which economic incentives drive this behavior as most of the current research has focused on the characteristics that define a fake review. The present study investigates these incentives using the innovative approach of examining one-time contributor user reviews as an alternative measure of review manipulation. With a sample comprising 450 hotels, registered on TripAdvisor, from the cities of Amsterdam and Brussels two type of studies were developed encompassing both cross-sectional and panel data analyses. The empirical results obtained show that review manipulation is sufficiently economically important since agents with different economic incentives will indulge in review fraud in a dissimilar extent. These incentives were found to include: the type of organizational structure; the total number of reviews; and the attributed user bubble rating.
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spelling Review manipolation in the hotel industry: the case of one- time contributorsFake reviewsReview manipulationReview fraudEWOMOnline consumer reviewsReview helpfulnessMachine learningDomínio/Área Científica::Ciências Sociais::Economia e GestãoAlthough, review manipulation has shown to have a significant adverse impact on consumer welfare, there is yet little understanding of which economic incentives drive this behavior as most of the current research has focused on the characteristics that define a fake review. The present study investigates these incentives using the innovative approach of examining one-time contributor user reviews as an alternative measure of review manipulation. With a sample comprising 450 hotels, registered on TripAdvisor, from the cities of Amsterdam and Brussels two type of studies were developed encompassing both cross-sectional and panel data analyses. The empirical results obtained show that review manipulation is sufficiently economically important since agents with different economic incentives will indulge in review fraud in a dissimilar extent. These incentives were found to include: the type of organizational structure; the total number of reviews; and the attributed user bubble rating.Letterie, WilkoBernardo, DavidRUNDiaz, Daniel dos Santos2017-08-02T08:15:11Z2017-01-202017-01-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfapplication/pdfhttp://hdl.handle.net/10362/22387TID:201714183enginfo: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:RCAAP2024-05-22T17:26:58Zoai:run.unl.pt:10362/22387Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:26:58Repositório 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 Review manipolation in the hotel industry: the case of one- time contributors
title Review manipolation in the hotel industry: the case of one- time contributors
spellingShingle Review manipolation in the hotel industry: the case of one- time contributors
Diaz, Daniel dos Santos
Fake reviews
Review manipulation
Review fraud
EWOM
Online consumer reviews
Review helpfulness
Machine learning
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Review manipolation in the hotel industry: the case of one- time contributors
title_full Review manipolation in the hotel industry: the case of one- time contributors
title_fullStr Review manipolation in the hotel industry: the case of one- time contributors
title_full_unstemmed Review manipolation in the hotel industry: the case of one- time contributors
title_sort Review manipolation in the hotel industry: the case of one- time contributors
author Diaz, Daniel dos Santos
author_facet Diaz, Daniel dos Santos
author_role author
dc.contributor.none.fl_str_mv Letterie, Wilko
Bernardo, David
RUN
dc.contributor.author.fl_str_mv Diaz, Daniel dos Santos
dc.subject.por.fl_str_mv Fake reviews
Review manipulation
Review fraud
EWOM
Online consumer reviews
Review helpfulness
Machine learning
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Fake reviews
Review manipulation
Review fraud
EWOM
Online consumer reviews
Review helpfulness
Machine learning
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description Although, review manipulation has shown to have a significant adverse impact on consumer welfare, there is yet little understanding of which economic incentives drive this behavior as most of the current research has focused on the characteristics that define a fake review. The present study investigates these incentives using the innovative approach of examining one-time contributor user reviews as an alternative measure of review manipulation. With a sample comprising 450 hotels, registered on TripAdvisor, from the cities of Amsterdam and Brussels two type of studies were developed encompassing both cross-sectional and panel data analyses. The empirical results obtained show that review manipulation is sufficiently economically important since agents with different economic incentives will indulge in review fraud in a dissimilar extent. These incentives were found to include: the type of organizational structure; the total number of reviews; and the attributed user bubble rating.
publishDate 2017
dc.date.none.fl_str_mv 2017-08-02T08:15:11Z
2017-01-20
2017-01-20T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/22387
TID:201714183
url http://hdl.handle.net/10362/22387
identifier_str_mv TID:201714183
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
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)
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 mluisa.alvim@gmail.com
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