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dc.contributor.authorMoral Cuadra, Salvador
dc.contributor.authorSolano Sánchez, Miguel Ángel
dc.contributor.authorLópez-Guzmán Guzmán, Tomás
dc.contributor.authorMenor Campos, Antonio
dc.date.accessioned2021-05-26T08:25:17Z
dc.date.available2021-05-26T08:25:17Z
dc.date.issued2021
dc.identifier.citationMoral-Cuadra, S.; Solano-Sánchez, M.Á.; López-Guzmán, T.; Menor-Campos, A. Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks. J. Theor. Appl. Electron. Commer. Res. 2021, 16, 1120–1135. https:// doi.org/10.3390/jtaer16040063es_ES
dc.identifier.urihttp://hdl.handle.net/10481/68732
dc.description.abstractPeer-to-peer tourism is one of the great global trends that is transforming the tourism sector, introducing several changes in many aspects of tourism, such as the way of travelling, staying or living the experience in the destination. This research aims to determine the relationship between the sociodemographic characteristics of tourists interested in peer-to-peer accommodation and the importance they give to various motivational factors about this type of tourism in a “culturaltourism” city. The methodology used in this research is an artificial neural network of the multilayer perceptron type to estimate a sociodemographic profile of the peer-to-peer accommodation tourist user based on predetermined input values consisting of the answers to the Likert-type questions previously carried out using a questionnaire. Thus, the model developed, through a customized set of answers to these questions, allows the presentation of a “composite picture” of a peer-to-peer tourist based on sociodemographic characteristics. This function is especially interesting for adapting the peer-to-peer hosting offer according to the preferences of potential users.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectSharing Economyes_ES
dc.subjectCollaborative tourismes_ES
dc.subjectTourist profilees_ES
dc.subjectPeer-to-peer accommodationes_ES
dc.subjectArtificial neural networkses_ES
dc.subjectMultilayer perceptrones_ES
dc.titlePeer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3390/jtaer16040063


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Atribución 3.0 España
Except where otherwise noted, this item's license is described as Atribución 3.0 España