Are the States United? An analysis of US hotels’ offers through TripAdvisor’s eyes

Bibliographic Details
Main Author: Moro, S.
Publication Date: 2019
Other Authors: Batista, F., Rita, P., Oliveira, C., Ribeiro, R.
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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spelling 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
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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
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SAGE
publisher.none.fl_str_mv SAGE
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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