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



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Éditeur :

Springer


Paru le : 2025-08-27



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Description

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.
Pages
183 pages
Collection
n.c
Parution
2025-08-27
Marque
Springer
EAN papier
9783032010544
EAN PDF
9783032010551
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
6451 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
213,99 €
EAN EPUB
9783032010551
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
18
Taille du fichier
8366 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
213,99 €

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