Predictors of hotel clients’ satisfaction in the Cape Verde Islands

Detalhes bibliográficos
Autor(a) principal: Furtado, A.
Data de Publicação: 2022
Outros Autores: Ramos, R. F., Maia, B., Costa, J. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/24661
Resumo: Tourism has been fundamental for countries’ economic development, and Africa is the destination with the biggest tourism growth potential. Using 1414 travelers’ online reviews collected from TripAdvisor, the present work aims to understand which variables predict the satisfaction of Cape Verde’s hotel clients. Satisfaction was analyzed using sentiment analysis and ANOVA to predict the effect of the gathered variables on clients’ satisfaction. Results indicate that 90% of the clients revealed positive satisfaction and that nationality, date of stay, and previous traveler experiences affect satisfaction. Contrarily to our predictions, there is no statistically significant evidence that gender influences satisfaction. The findings of this study will help hotel marketing managers to align their strategies accordingly and meet their clients’ expectations.
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spelling Predictors of hotel clients’ satisfaction in the Cape Verde IslandsTourist satisfactionCape Verde islandsTourism marketingClient engagementTourism has been fundamental for countries’ economic development, and Africa is the destination with the biggest tourism growth potential. Using 1414 travelers’ online reviews collected from TripAdvisor, the present work aims to understand which variables predict the satisfaction of Cape Verde’s hotel clients. Satisfaction was analyzed using sentiment analysis and ANOVA to predict the effect of the gathered variables on clients’ satisfaction. Results indicate that 90% of the clients revealed positive satisfaction and that nationality, date of stay, and previous traveler experiences affect satisfaction. Contrarily to our predictions, there is no statistically significant evidence that gender influences satisfaction. The findings of this study will help hotel marketing managers to align their strategies accordingly and meet their clients’ expectations.MDPI2022-03-03T09:38:37Z2022-01-01T00:00:00Z20222022-03-03T09:37:36Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/24661eng2071-105010.3390/su14052677Furtado, A.Ramos, R. F.Maia, B.Costa, J. M.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:RCAAP2023-11-09T17:32:55Zoai:repositorio.iscte-iul.pt:10071/24661Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:14:48.102781Repositório 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 Predictors of hotel clients’ satisfaction in the Cape Verde Islands
title Predictors of hotel clients’ satisfaction in the Cape Verde Islands
spellingShingle Predictors of hotel clients’ satisfaction in the Cape Verde Islands
Furtado, A.
Tourist satisfaction
Cape Verde islands
Tourism marketing
Client engagement
title_short Predictors of hotel clients’ satisfaction in the Cape Verde Islands
title_full Predictors of hotel clients’ satisfaction in the Cape Verde Islands
title_fullStr Predictors of hotel clients’ satisfaction in the Cape Verde Islands
title_full_unstemmed Predictors of hotel clients’ satisfaction in the Cape Verde Islands
title_sort Predictors of hotel clients’ satisfaction in the Cape Verde Islands
author Furtado, A.
author_facet Furtado, A.
Ramos, R. F.
Maia, B.
Costa, J. M.
author_role author
author2 Ramos, R. F.
Maia, B.
Costa, J. M.
author2_role author
author
author
dc.contributor.author.fl_str_mv Furtado, A.
Ramos, R. F.
Maia, B.
Costa, J. M.
dc.subject.por.fl_str_mv Tourist satisfaction
Cape Verde islands
Tourism marketing
Client engagement
topic Tourist satisfaction
Cape Verde islands
Tourism marketing
Client engagement
description Tourism has been fundamental for countries’ economic development, and Africa is the destination with the biggest tourism growth potential. Using 1414 travelers’ online reviews collected from TripAdvisor, the present work aims to understand which variables predict the satisfaction of Cape Verde’s hotel clients. Satisfaction was analyzed using sentiment analysis and ANOVA to predict the effect of the gathered variables on clients’ satisfaction. Results indicate that 90% of the clients revealed positive satisfaction and that nationality, date of stay, and previous traveler experiences affect satisfaction. Contrarily to our predictions, there is no statistically significant evidence that gender influences satisfaction. The findings of this study will help hotel marketing managers to align their strategies accordingly and meet their clients’ expectations.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-03T09:38:37Z
2022-01-01T00:00:00Z
2022
2022-03-03T09:37:36Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/24661
url http://hdl.handle.net/10071/24661
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2071-1050
10.3390/su14052677
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dc.publisher.none.fl_str_mv MDPI
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