Overview

This book offers a practical and accessible guide to Partial Least Squares Structural Equation Modeling (PLS-SEM) in business research, while addressing its limitations by integrating complementary methods such as artificial neural networks (ANN), fuzzy-set qualitative comparative analysis (fsQCA), and multi-criteria decision-making (MCDM).

Target Audience

It supports early-career researchers, postgraduate students, and practitioners in navigating complex models, predictive analytics, and latent construct measurement.

Key Focus Areas

By focusing on emerging business issues like digital transformation, metaverse, and sustainability, this book delivers clear, applied insights.

Benefits

Readers gain not only foundational knowledge of PLS-SEM but also strategies for enhancing research rigor, prediction, and decision-making using hybrid approaches.

Conclusion

This is a timely and essential resource for scholars aiming to advance their methodological toolkit for impactful and actionable business research.