Zandi - Associate Professor, University Kuala Lumpur (UniKL) Business School, Malaysia.
Shakhim - Department of Statistics, Faculty of Science, Al-Zawiya University, Al-Zawiya, Libya.
Mohamed - Department of Mathematics, Faculty of Science and Mathematics, University Pendidikan Sultan Idris ۳۵۹۰۰ Tanjong Malim, Perak, Malaysia.
Alshargawi - Department of Statistics, Faculty of Science, Tripoli University, Tripoli, Libya.

This study compared the performance of the partial least squares-structural equation modelling (PLS-SEM) and the robust partial least squares -structural equation modelling (RPLS-SEM) methods through Winsorisation approach The inputs and the outputs used in this model were based on the electricity generation data, derived from the Al-Zawiya Steam Power Plant, Libya. Furthermore, the researchers compared the novel RPLS-SEM approach with the traditional PLS-SEM approach and noted that the novel RPLS-SEM method was more efficient compared to PLS-SEM.

Partial Least Square-Path Modelling (PLS-SEM), Robust Partial Least Squares (RPLS-SEM), Structural Equation Modelling (SEM), Winsorization, Steam Power Plant, SmartPLS۳