Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/18203 |
Resumo: | This empirical data-driven research aims to unveil thought-provoking insights on the U.S. hotel offer across its 50 states. Information of more than 30,000 hotels was collected through web scraping from TripAdvisor. Using such data, 50 support vector machine models were trained to model the TripAdvisor score, one per state, to assess the convergent and divergent factors in customer satisfaction across all the U.S. states. A conceptual model is proposed and validated through the data-driven support vector machine models developed for each state to identify convergent features across the states to explain customer satisfaction (here represented by TripAdvisor score). Hotel size, price, and stars are not moderated by the location, expressed by the corresponding state, although these highly influence satisfaction, whereas both hotel number of published photos and the amenities are affected by the location. Thus, adaptation issues were found regarding amenities and published photos within each state’s offer. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyesHotel offerCustomer satisfactionCustomer feedbackTripAdvisorUnited StatesThis empirical data-driven research aims to unveil thought-provoking insights on the U.S. hotel offer across its 50 states. Information of more than 30,000 hotels was collected through web scraping from TripAdvisor. Using such data, 50 support vector machine models were trained to model the TripAdvisor score, one per state, to assess the convergent and divergent factors in customer satisfaction across all the U.S. states. A conceptual model is proposed and validated through the data-driven support vector machine models developed for each state to identify convergent features across the states to explain customer satisfaction (here represented by TripAdvisor score). Hotel size, price, and stars are not moderated by the location, expressed by the corresponding state, although these highly influence satisfaction, whereas both hotel number of published photos and the amenities are affected by the location. Thus, adaptation issues were found regarding amenities and published photos within each state’s offer.SAGE2019-06-17T10:59:02Z2019-01-01T00:00:00Z20192019-06-17T11:54:12Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/18203eng1096-348010.1177/1096348019854793Moro, S.Batista, F.Rita, P.Oliveira, C.Ribeiro, R.info: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:RCAAP2023-11-09T17:46:16Zoai:repositorio.iscte-iul.pt:10071/18203Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:22:13.517621Repositório 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 |
Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes |
title |
Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes |
spellingShingle |
Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes Moro, S. Hotel offer Customer satisfaction Customer feedback TripAdvisor United States |
title_short |
Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes |
title_full |
Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes |
title_fullStr |
Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes |
title_full_unstemmed |
Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes |
title_sort |
Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes |
author |
Moro, S. |
author_facet |
Moro, S. Batista, F. Rita, P. Oliveira, C. Ribeiro, R. |
author_role |
author |
author2 |
Batista, F. Rita, P. Oliveira, C. Ribeiro, R. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Moro, S. Batista, F. Rita, P. Oliveira, C. Ribeiro, R. |
dc.subject.por.fl_str_mv |
Hotel offer Customer satisfaction Customer feedback TripAdvisor United States |
topic |
Hotel offer Customer satisfaction Customer feedback TripAdvisor United States |
description |
This empirical data-driven research aims to unveil thought-provoking insights on the U.S. hotel offer across its 50 states. Information of more than 30,000 hotels was collected through web scraping from TripAdvisor. Using such data, 50 support vector machine models were trained to model the TripAdvisor score, one per state, to assess the convergent and divergent factors in customer satisfaction across all the U.S. states. A conceptual model is proposed and validated through the data-driven support vector machine models developed for each state to identify convergent features across the states to explain customer satisfaction (here represented by TripAdvisor score). Hotel size, price, and stars are not moderated by the location, expressed by the corresponding state, although these highly influence satisfaction, whereas both hotel number of published photos and the amenities are affected by the location. Thus, adaptation issues were found regarding amenities and published photos within each state’s offer. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-06-17T10:59:02Z 2019-01-01T00:00:00Z 2019 2019-06-17T11:54:12Z |
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/10071/18203 |
url |
http://hdl.handle.net/10071/18203 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1096-3480 10.1177/1096348019854793 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SAGE |
publisher.none.fl_str_mv |
SAGE |
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 |
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1799134784146898944 |