A moderator variable can be visualized as a third variable that changes the relationship
between the independent variable and the dependent variable. It is usually called a�…

Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used
methods of multivariate data analysis. Although previous research has discussed different�…

Partial least squares structural equation modeling (PLS-SEM) has become a standard
approach for analyzing complex inter-relationships between observed and latent variables�…

The Second Edition of Advanced Issues in Partial Least Squares Structural Equation
Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go�…

This paper describes the Partial Least Square model to test the robustness and value of the
statistical evaluation. The test is to evaluate the fit of the model for a small sample. The�…

Partial least squares structural equation modelling (PLS-SEM) is becoming a popular
statistical framework in many fields and disciplines of the social sciences. The main reason�…

Since the introduction of covariance-based structural equation modeling (SEM) by Joreskog
in 1973, this technique has been received with considerable interest among empirical�…

Partial least squares structural equation modeling (PLS-SEM) is a highly popular
multivariate data analysis method. The SmartPLS 3 software program helped many�…

Structural equation modeling is a multivariate data analysis method for analyzing complex
relationships among constructs and indicators. To estimate structural equation models�…

Structural model assessment in PLS-SEM focuses on evaluating the significance and
relevance of path coefficients, followed by the model's explanatory and predictive power. In�…