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Open AccessArticle

Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks

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Department of Financial Economics and Accounting, University of Granada, 52005 Melilla, Spain
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Department of Statistics and Econometrics, University of Córdoba, 14071 Córdoba, Spain
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Department of Applied Economics, University of Córdoba, 14071 Córdoba, Spain
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Department of Agrarian Economics, Finance and Accounting, University of Córdoba, 14071 Córdoba, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Dimitrios Buhalis
J. Theor. Appl. Electron. Commer. Res. 2021, 16(4), 1120-1135; https://doi.org/10.3390/jtaer16040063
Received: 17 February 2021 / Revised: 18 March 2021 / Accepted: 19 March 2021 / Published: 23 March 2021
Peer-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 “cultural-tourism” 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. View Full-Text
Keywords: sharing economy; collaborative tourism; tourist profile; peer-to-peer accommodation; artificial neural networks; multilayer perceptron sharing economy; collaborative tourism; tourist profile; peer-to-peer accommodation; artificial neural networks; multilayer perceptron
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MDPI and ACS Style

Moral-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/jtaer16040063

AMA Style

Moral-Cuadra S, Solano-Sánchez MÁ, López-Guzmán T, Menor-Campos A. Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16(4):1120-1135. https://doi.org/10.3390/jtaer16040063

Chicago/Turabian Style

Moral-Cuadra, Salvador; Solano-Sánchez, Miguel Á.; López-Guzmán, Tomás; Menor-Campos, Antonio. 2021. "Peer-to-Peer Tourism: Tourists’ Profile Estimation through Artificial Neural Networks" J. Theor. Appl. Electron. Commer. Res. 16, no. 4: 1120-1135. https://doi.org/10.3390/jtaer16040063

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