Partial Least Squares Structural Equation Modeling and Complementary Methods in Business Research (Information Systems Engineering and Management #67)

By: Gül Erkol Bayram and Alhamzah Alnoor and Yousif Raad Muhsen and XinYing Chew and Abbas Gatea Atiyah and Sammar Abbas

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Synopsis: 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). It supports early-career researchers, postgraduate students, and practitioners in navigating complex models, predictive analytics, and latent construct measurement. By focusing on emerging business issues like digital transformation, metaverse, and sustainability, this book delivers clear, applied insights. Readers gain not only foundational knowledge of PLS-SEM but also strategies for enhancing research rigor, prediction, and decision-making using hybrid approaches. This is a timely and essential resource for scholars aiming to advance their methodological toolkit for impactful and actionable business research.

Book Quality:: Publisher Quality
ISBN-13:: 9783032010551
Related ISBNs:: 9783032010544
Publisher:: Springer Nature Switzerland
Date of Addition:: 09/28/25
Copyrighted By:: The Editor
Adult content:: No
Language:: English
Has Image Descriptions:: No
Categories:: Nonfiction, Computers and Internet, Business and Finance, Technology, Mathematics and Statistics
Submitted By:: Bookshare Staff
Usage Restrictions:: This is a copyrighted book.