Structural Equations Modeling in the Management Sciences

Abstract

This article analyzes the role of structural equation modeling in the field of management science. The approach by which the use of the technique is incorporated into the field of management. Additionally, a comparison is generated between the different algorithms and statistical packages available for the application of the technique. Finding in closed source, LISREL, EQS, AMOS, SmartPLS, Mplus, CALIS (in SAS), SEPATH (in Statistica), RAMONA (in Systat), SEM (Stata), Matlab, Semopy (in Python). And in open source: Scilab, Julia, R: lavaan, sem, lava, OpenMx, Strum. Identifying current trends and future approaches that embody the multivariate analysis technique within the management sciences. Finding suggested software for the area of management sciences, as well as mixing trends in the technique, such as the use of neural networks that is beginning to be incorporated as an alternative or complement to the SEM technique.