Structural equation modeling (SEM) is becoming the most used method when multiple constructs, relationships, and latent and observed variables are involved, two main statistical analysis techniques of SEM can be applied by researchers:  Partial Least Squares Structural Equation Modeling (PLS-SEM), and covariance-based (CB-SEM). This paper is presenting a comparison study between the two methods basing on a case study of the sustainable supply chain innovation model for the Moroccan industrial field during 2020. Section I is dedicated to the conceptual model and the two structural analysis techniques presentation. Section II is explaining the methodology. Section III is consolidating the findings revealed where the CB-SEM technique is performed and consistently compared with PLS-SEM.