Abstract
The goal of this book is to identify risk perception levels, regional impact factors, and manufacturing practices in the manufacturing industry and then to assess the impact of these variables on supply chain performance. The information will be used to construct a series of latent variables via statistical analyses. Then, these variables will be tested and validated according to some criteria. Once validated, the variables will be integrated into different structural equation models to find the relationships among them. Later on, these models will be interpreted with respect to their research hypotheses. Then, industrial implications and conclusions will be provided with regards the impact of the latent variables on supply chain performance (SCP). The following sections describe the process followed to reach our goal.
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Avelar-Sosa, L., García-Alcaraz, J.L., Maldonado-Macías, A.A. (2019). Methodology. In: Evaluation of Supply Chain Performance. Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93876-9_9
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