Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts

The relationships between destination image and tourist satisfaction and loyalty have been studied extensively through surveys. This study aims to measure these constructs through big data analytics by going one step further in a line of research undertaken 8 years ago. The data source is content ge...

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Detalhes bibliográficos
Autor: Mariné Roig, Estela
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/85216
Acesso em linha:https://doi.org/10.3390/tourhosp2010004
http://hdl.handle.net/10459.1/85216
Access Level:acceso abierto
Palavra-chave:Online destination image
Semiotic aspect
Visitor satisfaction
Tourist loyalty
Big data analytics
Natural language processing
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spelling Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona DistrictsMariné Roig, EstelaOnline destination imageSemiotic aspectVisitor satisfactionTourist loyaltyBig data analyticsNatural language processingThe relationships between destination image and tourist satisfaction and loyalty have been studied extensively through surveys. This study aims to measure these constructs through big data analytics by going one step further in a line of research undertaken 8 years ago. The data source is content generated by travelers and shared on social media regarding the 10 districts of the city of Barcelona (Catalonia): more than 750,000 online travel reviews (OTRs) hosted on the Airbnb platform. This study also explores a relationship demonstrated by numerous researchers through surveys: the impact of destination image on tourist loyalty through satisfaction. However, the results are not satisfactory due to the great weight of the lodging price variable that unbalances the relationship. For example, the first district in the ranking of cognitive image categories is also the first in the ranking of average scores and of positive feelings and moods. However, the last two districts in the ranking of cognitive categories are the first in the rankings of satisfaction, positive recommendations, and cheaper prices. Additionally, the findings show that the location of the accommodation significantly determines the theme of the OTR narrative. Moreover, the results confirm previous studies on the exaggerated positivity of peer-to-peer accommodation scores: only 0.92% of 15,625 rated properties had negative overall scores.This research was funded by Spanish Ministry of Science, Innovation and Universities, [Grant id.: ECO2017-88984-R] within the project: Tourism analysis of peer-to-peer accommodation platforms in Spanish destinations through user-generated content and other online sources (TURCOLAB).MDPI202320232021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.3390/tourhosp2010004http://hdl.handle.net/10459.1/85216http://hdl.handle.net/10459.1/85216reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-88984-RReproducció del document publicat a https://doi.org/10.3390/tourhosp2010004Tourism and Hospitality, 2021, vol. 2, núm. 1, p. 62-78cc-by (c) Estela Mariné Roig, 2021info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/852162026-05-29T05:05:01Z
dc.title.none.fl_str_mv Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts
title Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts
spellingShingle Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts
Mariné Roig, Estela
Online destination image
Semiotic aspect
Visitor satisfaction
Tourist loyalty
Big data analytics
Natural language processing
title_short Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts
title_full Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts
title_fullStr Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts
title_full_unstemmed Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts
title_sort Measuring Online Destination Image, Satisfaction, and Loyalty: Evidence from Barcelona Districts
dc.creator.none.fl_str_mv Mariné Roig, Estela
author Mariné Roig, Estela
author_facet Mariné Roig, Estela
author_role author
dc.subject.none.fl_str_mv Online destination image
Semiotic aspect
Visitor satisfaction
Tourist loyalty
Big data analytics
Natural language processing
topic Online destination image
Semiotic aspect
Visitor satisfaction
Tourist loyalty
Big data analytics
Natural language processing
description The relationships between destination image and tourist satisfaction and loyalty have been studied extensively through surveys. This study aims to measure these constructs through big data analytics by going one step further in a line of research undertaken 8 years ago. The data source is content generated by travelers and shared on social media regarding the 10 districts of the city of Barcelona (Catalonia): more than 750,000 online travel reviews (OTRs) hosted on the Airbnb platform. This study also explores a relationship demonstrated by numerous researchers through surveys: the impact of destination image on tourist loyalty through satisfaction. However, the results are not satisfactory due to the great weight of the lodging price variable that unbalances the relationship. For example, the first district in the ranking of cognitive image categories is also the first in the ranking of average scores and of positive feelings and moods. However, the last two districts in the ranking of cognitive categories are the first in the rankings of satisfaction, positive recommendations, and cheaper prices. Additionally, the findings show that the location of the accommodation significantly determines the theme of the OTR narrative. Moreover, the results confirm previous studies on the exaggerated positivity of peer-to-peer accommodation scores: only 0.92% of 15,625 rated properties had negative overall scores.
publishDate 2021
dc.date.none.fl_str_mv 2021
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.3390/tourhosp2010004
http://hdl.handle.net/10459.1/85216
http://hdl.handle.net/10459.1/85216
url https://doi.org/10.3390/tourhosp2010004
http://hdl.handle.net/10459.1/85216
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-88984-R
Reproducció del document publicat a https://doi.org/10.3390/tourhosp2010004
Tourism and Hospitality, 2021, vol. 2, núm. 1, p. 62-78
dc.rights.none.fl_str_mv cc-by (c) Estela Mariné Roig, 2021
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by (c) Estela Mariné Roig, 2021
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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