Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia

Detalhes bibliográficos
Autor(a) principal: Roseiro, Mónica Catarina Sousa
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/149746
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
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spelling Determinants of airbnb guest satisfaction: a comparative study between europe and East AsiaSharing economyAirbnbOnline ReviewsText miningLDADissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceThe rising sharing economy has impacted the lodging industry over the years because of Airbnb's popularity growth. Europe and East Asia are two culturally different regions, and considering that guest expectations might vary, this study analyzes and compares the determinants of Airbnb guest satisfaction in both regions, getting a new perspective on the topic. The analysis is based on a dataset containing English reviews between 2017 and 2021 from 6 different cities – Paris, Madrid, Rome (Europe), Tokyo, Beijing, and Hong Kong (East Asia). A topic modeling algorithm (Latent Dirichlet Allocation) is used to discover latent topics in Airbnb reviews. The findings reveal that most drivers of satisfaction are similar in both regions - location, accommodation, and amenities. In East Asia, guests value more the unique experience that Airbnb can provide, while in Europe, guests are more demanding and focus more on the negative attributes of the accommodation. Therefore, this study aimed to discover the factors that affect guest satisfaction in Airbnb, providing a new angle by comparing two geographic regions. From a practical perspective, it helps to understand how guest expectations vary and identify Airbnb's opportunities and challenges in the studied regions.Rita, Paulo Miguel Rasquinho FerreiraAntónio, Nuno Miguel da ConceiçãoRUNRoseiro, Mónica Catarina Sousa2023-01-252026-01-25T00:00:00Z2023-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/149746TID:203237960enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:31:35Zoai:run.unl.pt:10362/149746Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:50.568123Repositório 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 Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia
title Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia
spellingShingle Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia
Roseiro, Mónica Catarina Sousa
Sharing economy
Airbnb
Online Reviews
Text mining
LDA
title_short Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia
title_full Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia
title_fullStr Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia
title_full_unstemmed Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia
title_sort Determinants of airbnb guest satisfaction: a comparative study between europe and East Asia
author Roseiro, Mónica Catarina Sousa
author_facet Roseiro, Mónica Catarina Sousa
author_role author
dc.contributor.none.fl_str_mv Rita, Paulo Miguel Rasquinho Ferreira
António, Nuno Miguel da Conceição
RUN
dc.contributor.author.fl_str_mv Roseiro, Mónica Catarina Sousa
dc.subject.por.fl_str_mv Sharing economy
Airbnb
Online Reviews
Text mining
LDA
topic Sharing economy
Airbnb
Online Reviews
Text mining
LDA
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing Intelligence
publishDate 2023
dc.date.none.fl_str_mv 2023-01-25
2023-01-25T00:00:00Z
2026-01-25T00:00:00Z
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/10362/149746
TID:203237960
url http://hdl.handle.net/10362/149746
identifier_str_mv TID:203237960
dc.language.iso.fl_str_mv eng
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