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Analysis of the Tourism Industry in Ecuador by Means of Soft Computing Techniques

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16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (SOCO 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1401))

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Abstract

This document analyzes tourism companies’ operations-related data by focusing on the use of dimensionality reduction as well as clustering techniques. To do this, a case study has been defined which examines the most relevant variables of small and medium-sized companies’ common operations in the tourism sector in Ecuador. Data selected for said study corresponds to the year 2015, being the latest official information available. Principal Component Analysis (PCA) is applied as a method of dimensionality reduction to simplify the complexity of spaces with multiple dimensions. The data set is also analyzed with the k-means clustering technique, defining different groups based on similar characteristics. The study provides information on tourism companies’ operation in Ecuador before the pandemic due to COVID-19 as support in ‘strategy making’, in order to reactivate said industry via data-based decisions.

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Author information

Authors and Affiliations

  1. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Av. Cantabria s/n, 09006, Burgos, Spain

    Anita Herrera, Ángel Arroyo & Álvaro Herrero

  2. KEDGE Business School, 680 cours de la Liberation, Talence (Bordeaux), France

    Alfredo Jiménez

Authors
  1. Anita Herrera
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  2. Ángel Arroyo
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  3. Alfredo Jiménez
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  4. Álvaro Herrero
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Corresponding author

Correspondence to Anita Herrera .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Hugo Sanjurjo González

  2. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Iker Pastor López

  3. Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  4. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  5. BISITE Research Group, University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Herrera, A., Arroyo, Á., Jiménez, A., Herrero, Á. (2022). Analysis of the Tourism Industry in Ecuador by Means of Soft Computing Techniques. In: Sanjurjo González, H., Pastor López, I., García Bringas, P., Quintián, H., Corchado, E. (eds) 16th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021). SOCO 2021. Advances in Intelligent Systems and Computing, vol 1401. Springer, Cham. https://doi.org/10.1007/978-3-030-87869-6_77

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