Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal
Autor(a) principal: | |
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Data de Publicação: | 2018 |
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=S2182-84582018000500007 |
Resumo: | Lisbon is one of the European Union cities that has one of the highest growth in the number of hotels. With the digital revolution, travelers can easily not only compare prices but also get information about the experience of other guests which can influence prices. The aim of this paper is to analyze how prices for a hotel stay can be influenced by some quality signaling factors, as star rating and online consumers ratings (location, cleanliness, comfort, facilities, staff and value for money, available on Booking.com), the volume of consumers comments and the availability of rooms in Lisbon. For 151 hotels in Lisbon, from 3 to 5 stars, through a multiple regression model, the results suggest that hotel category, location and facilities ratings have a positive influence on hotel room rates, but higher trade-off between what clients pay and the guest hotel stay experience has a negative impact on the consumers willingness to pay, as well as the number of comments. Among different hotel categories, the influent factors are different. Our main findings provide signs to hoteliers to take corrective actions towards the attributes most valuable for consumers and that can provide a higher room rate premium. |
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Online hotel ratings and its influence on hotel room rates: the case of Lisbon, PortugalOnline hotel ratingshedonic pricesLisbon hotelsBooking.comLisbon is one of the European Union cities that has one of the highest growth in the number of hotels. With the digital revolution, travelers can easily not only compare prices but also get information about the experience of other guests which can influence prices. The aim of this paper is to analyze how prices for a hotel stay can be influenced by some quality signaling factors, as star rating and online consumers ratings (location, cleanliness, comfort, facilities, staff and value for money, available on Booking.com), the volume of consumers comments and the availability of rooms in Lisbon. For 151 hotels in Lisbon, from 3 to 5 stars, through a multiple regression model, the results suggest that hotel category, location and facilities ratings have a positive influence on hotel room rates, but higher trade-off between what clients pay and the guest hotel stay experience has a negative impact on the consumers willingness to pay, as well as the number of comments. Among different hotel categories, the influent factors are different. Our main findings provide signs to hoteliers to take corrective actions towards the attributes most valuable for consumers and that can provide a higher room rate premium.Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582018000500007Tourism & Management Studies v.14 n.Especial 2018reponame: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=S2182-84582018000500007Castro,ConceiçãoFerreira,Fernanda A.info:eu-repo/semantics/openAccess2024-02-06T17:29:13Zoai:scielo:S2182-84582018000500007Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:33:15.095974Repositório 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 |
Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal |
title |
Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal |
spellingShingle |
Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal Castro,Conceição Online hotel ratings hedonic prices Lisbon hotels Booking.com |
title_short |
Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal |
title_full |
Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal |
title_fullStr |
Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal |
title_full_unstemmed |
Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal |
title_sort |
Online hotel ratings and its influence on hotel room rates: the case of Lisbon, Portugal |
author |
Castro,Conceição |
author_facet |
Castro,Conceição Ferreira,Fernanda A. |
author_role |
author |
author2 |
Ferreira,Fernanda A. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Castro,Conceição Ferreira,Fernanda A. |
dc.subject.por.fl_str_mv |
Online hotel ratings hedonic prices Lisbon hotels Booking.com |
topic |
Online hotel ratings hedonic prices Lisbon hotels Booking.com |
description |
Lisbon is one of the European Union cities that has one of the highest growth in the number of hotels. With the digital revolution, travelers can easily not only compare prices but also get information about the experience of other guests which can influence prices. The aim of this paper is to analyze how prices for a hotel stay can be influenced by some quality signaling factors, as star rating and online consumers ratings (location, cleanliness, comfort, facilities, staff and value for money, available on Booking.com), the volume of consumers comments and the availability of rooms in Lisbon. For 151 hotels in Lisbon, from 3 to 5 stars, through a multiple regression model, the results suggest that hotel category, location and facilities ratings have a positive influence on hotel room rates, but higher trade-off between what clients pay and the guest hotel stay experience has a negative impact on the consumers willingness to pay, as well as the number of comments. Among different hotel categories, the influent factors are different. Our main findings provide signs to hoteliers to take corrective actions towards the attributes most valuable for consumers and that can provide a higher room rate premium. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-01 |
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=S2182-84582018000500007 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582018000500007 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582018000500007 |
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.14 n.Especial 2018 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 |
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1799137391857893376 |