• Title of article

    Comparison between the Conventional Partial Least Squares (Pls) and the Robust Partial Least Squares (Rpls-Sem) Through Winsorization Approach

  • Author/Authors

    Zandi, GholamReza University Kuala Lumpur (UniKL) Business School, Malaysia , Ramadan Shakhim, Fadya Department of Statistics - Faculty of Science - Al-Zawiya University, Al- Zawiya, Libya , Mohamed, Zulkifley Department of Mathematics - Faculty of Science and Mathematics - University Pendidikan Sultan Idris Tanjong Malim, Perak, Malaysia , Saad Alshargawi, Amel Department of Statistics - Faculty of Science - Tripoli University, Tripoli, Libya

  • Pages
    8
  • From page
    87
  • To page
    94
  • Abstract
    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.
  • Keywords
    Partial Least Square-Path Modelling (PLS-SEM) , Robust Partial Least Squares (RPLS-SEM) , Structural Equation Modelling (SEM) , Winsorization , Steam Power Plant , SmartPLS3
  • Journal title
    Journal of Information Technology Management (JITM)
  • Serial Year
    2022
  • Record number

    2733221