1 option
Partial Least Squares Structural Equation Modeling and Complementary Methods in Business Research / by XinYing Chew, Abbas Gatea Atiyah, Alhamzah Alnoor, Sammar Abbas, Yousif Raad Muhsen, Gül Erkol Bayram.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Chew, XinYing.
- Series:
- Information Systems Engineering and Management, 3004-9598 ; 67
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Business mathematics.
- Engineering--Data processing.
- Engineering.
- Computational Intelligence.
- Business Mathematics.
- Data Engineering.
- Local Subjects:
- Computational Intelligence.
- Business Mathematics.
- Data Engineering.
- Physical Description:
- 1 online resource (272 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
- Summary:
- 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.
- Contents:
- Partial Least Squares Structural Equation Modeling
- PLSbSEM Path Model Estimation
- Overview of ANN Analysis
- Business Research Applications in SEM ANN Analysis
- Opportunity for ANN Analysis
- Artificial Neural Network and Theories
- Hybrid SEM and ANN Approach
- Fuzzy set Qualitative Comparative Analysis FsQCA
- Outline of ANFIS Analysis
- Multi Criteria Decision Making
- Machine Learning in Business Research
- Application of Multi Criteria Decision Making Methods.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-01055-1
- OCLC:
- 1544990047
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.