Application of agglomerative and partitional algorithms for the study of the phenomenon of the collaborative economy within the tourism industry

• Autorzy: Pérez-Rocha Juan Manuel , Soria-Alcaraz Jorge Alberto , Guerrero-Rodriguez Rafael , Purata-Sifuentes Omar Jair , Espinal Andrés , Sotelo-Figueroa Marco Aurelio

Identyfikatory

DOI

10.14313/JAMRIS/1-2020/10

• Języki publikacji: EN

Abstrakty

EN

This research discusses the application of two different clustering algorithms (agglomerative and partitional) to a set of data derived from the phenomenon of the collaborative economy in the tourism industry known as Airbnb. In order to analyze this phenomenon, the algorithms are known as “hierarchical Tree” and “K-Means” were used with the objective of gaining a better understanding of the spatial configuration and current functioning of this complimentary lodging offer. The city of Guanajuato, Mexico was selected as the case for convenience purposes and the main touristic attractions were used as parameters to conduct the analysis. Cluster techniques were applied to both algorithms and the results were statistically compared.

Słowa kluczowe

EN

clustering tools; tourism industry; collaborative economy

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2020
• Tom: Vol. 14, No. 1
• Strony: 81--86
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Pérez-Rocha Juan Manuel

• Administrative Information Systems, DCEA-University of Guanajuato, Guanajuato, México

autor

Soria-Alcaraz Jorge Alberto

• Organizational Studies Department, DCEA-University of Guanajuato, Guanajuato, México

autor

Guerrero-Rodriguez Rafael

• Management and Business Management Department, DCEA-University of Guanajuato, Guanajuato, México

autor

Purata-Sifuentes Omar Jair

• Organizational Studies Department, DCEA-University of Guanajuato, Guanajuato, México

autor

Espinal Andrés

• Organizational Studies Department, DCEA-University of Guanajuato, Guanajuato, México

autor

Sotelo-Figueroa Marco Aurelio

• Organizational Studies Department, DCEA-University of Guanajuato, Guanajuato, México

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).