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

The workbook has eight chapters. Each chapter highlights fundamental concepts followed
by a practical illustrative application of how such concepts are implemented using 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 …

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 …

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

Partial least squares (PLS) path modeling is a widely used method in the information
systems (IS) discipline for estimating linear structural equation models. At the same time …

Partial least squares (PLS) methods possess desirable characteristics that have led to their
extensive use in the field of information systems, as well as many other fields, for path …

Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business
research | Emerald Insight Books and journals Case studies Expert Briefings Open Access …

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 …

PLS-Graph represents an attempt to make latent variable path modeling using the Partial
Least Squares (PLS) approach accessible and convenient to all interested parties. The utility …