Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community

The use of machine learning is becoming more and more frequent in companies’ search for competitiveness. Literature on the subject show us how in many cases artificial intelligence can help companies to improve their knowledge about users, optimize prices or guide buyers in their choices. To confirm...

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Detalhes bibliográficos
Autores: Moreno Izquierdo, Luis, Egorova, Galina, Peretó Rovira, Alexandre, Más Ferrando, Adrián
Formato: artículo
Fecha de publicación:2018
País:España
Recursos:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/37170
Acesso em linha:http://hdl.handle.net/10017/37170
Access Level:acceso abierto
Palavra-chave:Machine learning
Airbnb
Tourism
Hedonic prices
Valencian region
Aprendizaje automático
Turismo
Precios hedónicos
Región valenciana
Economía
Geografía
Sociología
Economics
Geography
Sociology
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spelling Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian CommunityExplorando el uso de la inteligencia artificial en la maximización de precios para el sector turístico: su aplicación en el caso de Airbnb en la Comunidad ValencianaMoreno Izquierdo, LuisEgorova, GalinaPeretó Rovira, AlexandreMás Ferrando, AdriánMachine learningAirbnbTourismHedonic pricesValencian regionAprendizaje automáticoTurismoPrecios hedónicosRegión valencianaEconomíaGeografíaSociologíaEconomicsGeographySociologyThe use of machine learning is becoming more and more frequent in companies’ search for competitiveness. Literature on the subject show us how in many cases artificial intelligence can help companies to improve their knowledge about users, optimize prices or guide buyers in their choices. To confirm that the application of artificial intelligence models allows companies to obtain specifically better price optimisation procedures than with other traditional models, we have studied more than 10,000 Airbnb properties in the three main cities in the Valencian Community (Valencia, Alicante and Castellón), noting that the estimation process using neural networks offers significantly more satisfactory results than the use of hedonic models.El empleo del aprendizaje automático es cada vez más frecuente para explicar la competitividad de las empresas. La literatura nos muestra cómo la inteligencia artificial puede ayudar a empresas a mejorar su conocimiento de los usuarios, optimizar los precios o guiar a los compradores en su proceso de elección. Para confirmar que aplicando modelos de inteligencia artificial se permite obtener específicamente mejores procedimientos de optimización de precios respecto a otros modelos tradicionales, se estudian más 10.000 propiedades de Airbnb en las tres capitales de la Comunidad Valenciana (Valencia, Alicante y Castellón), observando que los resultados obtenidos con el modelo de redes neuronales artificiales son significativamente más satisfactorios que con el empleo de modelos hedónicos.Asociación Española de Ciencia Regional (AECR)20182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/37170reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/371702026-06-18T11:13:07Z
dc.title.none.fl_str_mv Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
Explorando el uso de la inteligencia artificial en la maximización de precios para el sector turístico: su aplicación en el caso de Airbnb en la Comunidad Valenciana
title Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
spellingShingle Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
Moreno Izquierdo, Luis
Machine learning
Airbnb
Tourism
Hedonic prices
Valencian region
Aprendizaje automático
Turismo
Precios hedónicos
Región valenciana
Economía
Geografía
Sociología
Economics
Geography
Sociology
title_short Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
title_full Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
title_fullStr Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
title_full_unstemmed Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
title_sort Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
dc.creator.none.fl_str_mv Moreno Izquierdo, Luis
Egorova, Galina
Peretó Rovira, Alexandre
Más Ferrando, Adrián
author Moreno Izquierdo, Luis
author_facet Moreno Izquierdo, Luis
Egorova, Galina
Peretó Rovira, Alexandre
Más Ferrando, Adrián
author_role author
author2 Egorova, Galina
Peretó Rovira, Alexandre
Más Ferrando, Adrián
author2_role author
author
author
dc.subject.none.fl_str_mv Machine learning
Airbnb
Tourism
Hedonic prices
Valencian region
Aprendizaje automático
Turismo
Precios hedónicos
Región valenciana
Economía
Geografía
Sociología
Economics
Geography
Sociology
topic Machine learning
Airbnb
Tourism
Hedonic prices
Valencian region
Aprendizaje automático
Turismo
Precios hedónicos
Región valenciana
Economía
Geografía
Sociología
Economics
Geography
Sociology
description The use of machine learning is becoming more and more frequent in companies’ search for competitiveness. Literature on the subject show us how in many cases artificial intelligence can help companies to improve their knowledge about users, optimize prices or guide buyers in their choices. To confirm that the application of artificial intelligence models allows companies to obtain specifically better price optimisation procedures than with other traditional models, we have studied more than 10,000 Airbnb properties in the three main cities in the Valencian Community (Valencia, Alicante and Castellón), noting that the estimation process using neural networks offers significantly more satisfactory results than the use of hedonic models.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/37170
url http://hdl.handle.net/10017/37170
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Asociación Española de Ciencia Regional (AECR)
publisher.none.fl_str_mv Asociación Española de Ciencia Regional (AECR)
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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