Partial least squares structural equation modeling

Start Page
1
End Page
47
Citation
in: Homburg C., Klarmann M., Vomberg A.E. (eds) Handbook of Market Research. Springer, Cham. (2021)
Publisher DOI
10.1007/978-3-319-05542-8_15-2
Publisher
Springer
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.
Subjects
Partial least squares structural equation modeling
PLS-SEM
Path model analysis
Composite modeling
Results evaluation
DDC Class
330: Wirtschaft