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Experiments in Market Research Read chapter Read first chapter

2022 | OriginalPaper | Chapter

Partial Least Squares Structural Equation Modeling

Authors : Marko Sarstedt, Christian M. Ringle, Joseph F. Hair

Published in: Handbook of Market Research

Publisher: Springer International Publishing

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Abstract

Partial least squares structural equation modeling (PLS-SEM) has become a popular method for estimating path models with latent variables and their relationships. A common goal of PLS-SEM analyses is to identify key success factors and sources of competitive advantage for important target constructs such as customer satisfaction, customer loyalty, behavioral intentions, and user behavior. Building on an introduction of the fundamentals of measurement and structural theory, this chapter explains how to specify and estimate path models using PLS-SEM. Complementing the introduction of the PLS-SEM method and the description of how to evaluate analysis results, the chapter also offers an overview of complementary analytical techniques. A PLS-SEM application of the widely recognized corporate reputation model illustrates the method.

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Metadata
Title
Partial Least Squares Structural Equation Modeling
Authors
Marko Sarstedt
Christian M. Ringle
Joseph F. Hair
Copyright Year
2022
Book
Handbook of Market Research

Print ISBN: 978-3-319-57411-0

Electronic ISBN: 978-3-319-57413-4

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-319-57413-4_15