Comparison Study Between CB-SEM and PLS-SEM for Sustainable Supply Chain Innovation Model

Abstract

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 SEM (PLS-SEM), and covariance-based (CB-SEM). This paper is presenting a comparison study between the two methods. The comparison is based on a case study of the sustainable supply chain innovation model for the Moroccan industrial field during 2020. It gives a presentation of the conceptual model and the two structural analysis techniques comparison in the literature. Then it explains the methodology. The last sections are consolidating the findings and conclusions revealed where the CB-SEM technique is performed and consistently compared with PLS-SEM.