Revenue management in Portuguese 4- and 5- star hotels
Main Author: | |
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Publication Date: | 2024 |
Format: | Master thesis |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/10362/177699 |
Summary: | This study aims to contribute to the Revenue Management literature, by investigating how it is applied in 4- and 5-star hotels in Portugal. It explores the importance of RM, which practices are most frequently used and regarded as more important, and their impact on hotel efficiency. In addition, it examines AI's expected future role in RM. Following a mixed method approach, the research highlights RM's importance to hotel performance and key practices like market analysis, dynamic pricing, and KPI analysis. It anticipates AI's significant future role in RM. These results offer valuable insights for revenue professionals in the hospitality sector. |
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Revenue management in Portuguese 4- and 5- star hotelsRevenue managementUpscaleHotelsPracticesPortugalEfficiencyArtificial intelligenceDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis study aims to contribute to the Revenue Management literature, by investigating how it is applied in 4- and 5-star hotels in Portugal. It explores the importance of RM, which practices are most frequently used and regarded as more important, and their impact on hotel efficiency. In addition, it examines AI's expected future role in RM. Following a mixed method approach, the research highlights RM's importance to hotel performance and key practices like market analysis, dynamic pricing, and KPI analysis. It anticipates AI's significant future role in RM. These results offer valuable insights for revenue professionals in the hospitality sector.Pimentel, DuarteRUNCarvalho, Miguel Coimbra Sandinha de2025-01-21T11:13:48Z2024-06-122024-05-162024-06-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/177699TID:203723929enginfo: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:RCAAP2025-01-27T01:37:20Zoai:run.unl.pt:10362/177699Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:41:36.123350Repositórios 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 |
Revenue management in Portuguese 4- and 5- star hotels |
title |
Revenue management in Portuguese 4- and 5- star hotels |
spellingShingle |
Revenue management in Portuguese 4- and 5- star hotels Carvalho, Miguel Coimbra Sandinha de Revenue management Upscale Hotels Practices Portugal Efficiency Artificial intelligence Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Revenue management in Portuguese 4- and 5- star hotels |
title_full |
Revenue management in Portuguese 4- and 5- star hotels |
title_fullStr |
Revenue management in Portuguese 4- and 5- star hotels |
title_full_unstemmed |
Revenue management in Portuguese 4- and 5- star hotels |
title_sort |
Revenue management in Portuguese 4- and 5- star hotels |
author |
Carvalho, Miguel Coimbra Sandinha de |
author_facet |
Carvalho, Miguel Coimbra Sandinha de |
author_role |
author |
dc.contributor.none.fl_str_mv |
Pimentel, Duarte RUN |
dc.contributor.author.fl_str_mv |
Carvalho, Miguel Coimbra Sandinha de |
dc.subject.por.fl_str_mv |
Revenue management Upscale Hotels Practices Portugal Efficiency Artificial intelligence Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Revenue management Upscale Hotels Practices Portugal Efficiency Artificial intelligence Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
This study aims to contribute to the Revenue Management literature, by investigating how it is applied in 4- and 5-star hotels in Portugal. It explores the importance of RM, which practices are most frequently used and regarded as more important, and their impact on hotel efficiency. In addition, it examines AI's expected future role in RM. Following a mixed method approach, the research highlights RM's importance to hotel performance and key practices like market analysis, dynamic pricing, and KPI analysis. It anticipates AI's significant future role in RM. These results offer valuable insights for revenue professionals in the hospitality sector. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-06-12 2024-05-16 2024-06-12T00:00:00Z 2025-01-21T11:13:48Z |
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/10362/177699 TID:203723929 |
url |
http://hdl.handle.net/10362/177699 |
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TID:203723929 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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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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