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Partial Least Squares Structural Equation Modeling and Complementary Methods in Business Research : Intelligent Technologies and Robotics (R0) - XinYing Chew

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

By: XinYing Chew, Abbas Gatea Atiyah, Alhamzah Alnoor, Sammar Abbas, Gül Erkol Bayram

eText | 27 August 2025

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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.

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Non-FictionBusiness & ManagementBusiness Mathematics & SystemsComputing & I.T.Computer ScienceArtificial IntelligenceDatabasesData Capture & AnalysisEngineering & TechnologyTechnology in GeneralEngineering in General

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