Destination image analytics for tourism design: An approach through Airbnb reviews

This study embraces destination image analytics, design thinking and peer-to-peer accommodation services. The paper aims to support marketers in rethinking the way they design destination experiences and marketing strategies by synergising with contemporary trends in the peer-to-peer accommodation s...

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Authors: Lalicic, Lidija, Mariné Roig, Estela, Ferrer Rosell, Berta, Martín Fuentes, Eva
Format: article
Status:Versión enviada para evaluación y publicación
Publication Date:2021
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/464199
Online Access:https://doi.org/10.1016/j.annals.2020.103100
https://hdl.handle.net/10459.1/464199
Access Level:Open access
Keyword:Online travel review
Peer-to-peer accommodation platform
Destination image analytics
Compositional Data Analysis (CoDa)
Tourist experience design
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spelling Destination image analytics for tourism design: An approach through Airbnb reviewsLalicic, LidijaMariné Roig, EstelaFerrer Rosell, BertaMartín Fuentes, EvaOnline travel reviewPeer-to-peer accommodation platformDestination image analyticsCompositional Data Analysis (CoDa)Tourist experience designThis study embraces destination image analytics, design thinking and peer-to-peer accommodation services. The paper aims to support marketers in rethinking the way they design destination experiences and marketing strategies by synergising with contemporary trends in the peer-to-peer accommodation sector and help integrate them into destination marketing systems. Thus, a holistic process is developed to reveal how destination image is constructed that applies compositional data analysis on almost one million Airbnb reviews from four Spanish urban destinations on a temporal basis (two consecutive periods). The designative aspect of image distinguishes the destinations, and temporal image trends are observed. These insights allow marketers to re-formulate and design marketing and experience strategies that align with the needs and experiences of contemporary tourists.Authors acknowledge the support of the Spanish Ministry of Economy, Industry and Competitiveness (grant ID: ECO2017-88984-R and TIN2015-71799-C2-2-P). Fourth author also acknowledges the support of the Spanish Ministry of Education for the grant “Jos´e Castillejo” (Ref.: CAS19/00362).Elsevier2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfhttps://doi.org/10.1016/j.annals.2020.103100https://hdl.handle.net/10459.1/464199reponame: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/MINECO//TIN2015-71799-C2-2-Pinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-88984-RVersió preprint del document publicat a https://doi.org/10.1016/j.annals.2020.103100Annals of Tourism Research, 2021, vol. 86, 103100(c) Elsevier, 2021info:eu-repo/semantics/openAccessoai:recercat.cat:10459.1/4641992026-05-29T05:05:01Z
dc.title.none.fl_str_mv Destination image analytics for tourism design: An approach through Airbnb reviews
title Destination image analytics for tourism design: An approach through Airbnb reviews
spellingShingle Destination image analytics for tourism design: An approach through Airbnb reviews
Lalicic, Lidija
Online travel review
Peer-to-peer accommodation platform
Destination image analytics
Compositional Data Analysis (CoDa)
Tourist experience design
title_short Destination image analytics for tourism design: An approach through Airbnb reviews
title_full Destination image analytics for tourism design: An approach through Airbnb reviews
title_fullStr Destination image analytics for tourism design: An approach through Airbnb reviews
title_full_unstemmed Destination image analytics for tourism design: An approach through Airbnb reviews
title_sort Destination image analytics for tourism design: An approach through Airbnb reviews
dc.creator.none.fl_str_mv Lalicic, Lidija
Mariné Roig, Estela
Ferrer Rosell, Berta
Martín Fuentes, Eva
author Lalicic, Lidija
author_facet Lalicic, Lidija
Mariné Roig, Estela
Ferrer Rosell, Berta
Martín Fuentes, Eva
author_role author
author2 Mariné Roig, Estela
Ferrer Rosell, Berta
Martín Fuentes, Eva
author2_role author
author
author
dc.subject.none.fl_str_mv Online travel review
Peer-to-peer accommodation platform
Destination image analytics
Compositional Data Analysis (CoDa)
Tourist experience design
topic Online travel review
Peer-to-peer accommodation platform
Destination image analytics
Compositional Data Analysis (CoDa)
Tourist experience design
description This study embraces destination image analytics, design thinking and peer-to-peer accommodation services. The paper aims to support marketers in rethinking the way they design destination experiences and marketing strategies by synergising with contemporary trends in the peer-to-peer accommodation sector and help integrate them into destination marketing systems. Thus, a holistic process is developed to reveal how destination image is constructed that applies compositional data analysis on almost one million Airbnb reviews from four Spanish urban destinations on a temporal basis (two consecutive periods). The designative aspect of image distinguishes the destinations, and temporal image trends are observed. These insights allow marketers to re-formulate and design marketing and experience strategies that align with the needs and experiences of contemporary tourists.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.annals.2020.103100
https://hdl.handle.net/10459.1/464199
url https://doi.org/10.1016/j.annals.2020.103100
https://hdl.handle.net/10459.1/464199
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MINECO//TIN2015-71799-C2-2-P
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ECO2017-88984-R
Versió preprint del document publicat a https://doi.org/10.1016/j.annals.2020.103100
Annals of Tourism Research, 2021, vol. 86, 103100
dc.rights.none.fl_str_mv (c) Elsevier, 2021
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Elsevier, 2021
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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