Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes
Main Author: | |
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Publication Date: | 2019 |
Other Authors: | , , , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10071/18203 |
Summary: | 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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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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-07-07T03:11:16Zoai:repositorio.iscte-iul.pt:10071/18203Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:17:49.823055Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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1833597313254162432 |