Partial least squares structural equation modeling (PLS-SEM)
Kennesaw State University · Otto-von-Guericke-Universität Magdeburg · +2 more institutions
Abstract
Purpose – The authors aim to present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach – In this review article, the authors merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, the authors meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage. Findings – PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with nonnormal data, small sample sizes and the…
Citation impact
- FWCI
- 330.80
- Percentile
- 100%
- References
- 83
Authors
4Topics & keywords
- Structural equation modeling
- Partial least squares regression
- Mathematics
- Econometrics
- Statistics