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Identifying the Orientations of Sustainable Supply Chain Research Using Data Mining Techniques: Contributions and New Developments

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Trends and Applications in Software Engineering (CIMPS 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 865))

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Abstract

To be effective, sustainable development must maintain an equilibrium between its social, environmental and economic efforts. Several studies have suggested that an unbalance exists about the attention given to those three dimensions; however, few contributions have demonstrated such unbalance. This research describes a synthesis of two manual and semiautomatic methods published in the technical literature and includes additional developments, conceived to speed up and increase the accuracy of the analysis of the sustainable orientation of a corpus. The results are compared with the previous studies on about ten years of literature from top-tier journals dealing with Sustainable Supply Chain issues. The results confirm unbalance on research in this field. They show that most of the studies have been focussed on environmental and economic aspects, leaving aside social issues.

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Author information

Authors and Affiliations

  1. Escuela Politécnica Nacional, Quito, Ecuador

    Carlos Montenegro, Marco Segura & Edison Loza-Aguirre

  2. CERAG FRE 3748 CNRS/UGA, 150, rue de la Chimie, BP 47, 38040, Grenoble Cedex 9, France

    Edison Loza-Aguirre

Authors
  1. Carlos Montenegro
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  2. Marco Segura
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  3. Edison Loza-Aguirre
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Corresponding author

Correspondence to Carlos Montenegro .

Editor information

Editors and Affiliations

  1. Unidad Zacatecas, Centro de Investigación en Matemáticas A. C., Zacatecas, Zacatecas, Mexico

    Jezreel Mejia

  2. Unidad Zacatecas, Centro de Investigación en Matemáticas A. C., Zacatecas, Zacatecas, Mexico

    Mirna Muñoz

  3. Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  4. Departamento de Ciencias Computacionales, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico

    Adriana Peña

  5. Centro Universitario de Ciencias Exactas, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico

    Marco Pérez-Cisneros

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Montenegro, C., Segura, M., Loza-Aguirre, E. (2019). Identifying the Orientations of Sustainable Supply Chain Research Using Data Mining Techniques: Contributions and New Developments. In: Mejia, J., Muñoz, M., Rocha, Á., Peña, A., Pérez-Cisneros, M. (eds) Trends and Applications in Software Engineering. CIMPS 2018. Advances in Intelligent Systems and Computing, vol 865. Springer, Cham. https://doi.org/10.1007/978-3-030-01171-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-01171-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01170-3

  • Online ISBN: 978-3-030-01171-0

  • eBook Packages: EngineeringEngineering (R0)

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