Name: Partial Least Squares Structural Equation Modeling and Complementary Methods in Business Research
SKU: 64790606
Price: 185.96 EUR
Availability: InStock
Author: Abbas Gatea Atiyah;Yousif Raad Muhsen;XinYing Chew;Sammar Abbas;Gul Erkol Bayram;Alhamzah Alnoor
ISBN: 9783032010544

portada Partial Least Squares Structural Equation Modeling and Complementary Methods in Business Research

Partial Least Squares Structural Equation Modeling and Complementary Methods in Business Research

Type

Physical Book

Publisher

Springer Nature Switzerland AG

Author

Abbas Gatea Atiyah;Yousif Raad Muhsen;XinYing Chew;Sammar Abbas;Gul Erkol Bayram;Alhamzah Alnoor

Collection

Information Systems Engineering and Management

Year

2025

Pages

183

Format

Hardcover

Dimensions

23.5x15.5 cm

ISBN13

9783032010544

Partial Least Squares Structural Equation Modeling and Complementary Methods in Business Research

Abbas Gatea Atiyah;Yousif Raad Muhsen;Xinying Chew;Sammar Abbas;Gul Erkol Bayram;Alhamzah Alnoor (Author) · Springer Nature Switzerland AG · Hardcover

Cheaper New Book Imported to Netherlands

Delivery: 30 Sep - 07 Oct

€ 185,96

Faster New Book Imported to Netherlands

Delivery: 25 Sep - 29 Sep

€ 243,60

Import costs and 9% BTW included in the price ✅

€ 185,96

Add to Wishlist

Synopsis "Partial Least Squares Structural Equation Modeling and Complementary Methods in Business Research"

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.