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Exploratory Analysis of the Data

  • Liliana Avelar-SosaEmail author
  • Jorge Luis García-Alcaraz
  • Aidé Aracely Maldonado-Macías
Chapter
Part of the Management and Industrial Engineering book series (MINEN)

Abstract

This chapter discusses the exploratory analysis performed on the data collected in this research and used to develop the models that assess supply chain performance. Similarly, we discuss the aspects used to measure supply chain risks, manufacturing practices, and regional impact factors. The survey validation procedure is then discussed as well as the characteristics of the sample. Finally, we address each questionnaire construct to contribute to the understanding of the survey and its results.

References

  1. Hair JF, Black WC, Babin BJ, Anderson RE, Tatham RL (1998) Multivariate data analysis, vol 5. Prentice Hall, Upper Saddle RiverGoogle Scholar
  2. Hair JF, Ringle CM, Sarstedt M (2013) Partial least squares structural equation modeling: rigorous applications, better results and higher acceptanceGoogle Scholar
  3. Hair Jr JF, Hult GTM, Ringle C, Sarstedt M (2016) A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Liliana Avelar-Sosa
    • 1
    Email author
  • Jorge Luis García-Alcaraz
    • 1
  • Aidé Aracely Maldonado-Macías
    • 1
  1. 1.Department of Industrial Engineering and Manufacturing, Institute of Engineering and TechnologyUniversidad Autónoma de Ciudad JuárezCiudad JuárezMexico

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