PLS-SEM: Indeed a Silver Bullet
Kennesaw State University · University of Technology Sydney · +1 more institution
Abstract
Structural equation modeling (SEM) has become a quasi-standard in marketing and management research when it comes to analyzing the cause-effect relations between latent constructs. For most researchers, SEM is equivalent to carrying out covariance-based SEM (CB-SEM). While marketing researchers have a basic understanding of CB-SEM, most of them are only barely familiar with the other useful approach to SEM-partial least squares SEM (PLS-SEM). The current paper reviews PLS-SEM and its algorithm, and provides an overview of when it can be most appropriately applied, indicating its potential and limitations for future research. The authors conclude that PLS-SEM path modeling, if appropriately applied, is indeed a…
Citation impact
- FWCI
- 373.84
- Percentile
- 100%
- References
- 80
Authors
3Topics & keywords
- Structural equation modeling
- Partial least squares regression
- Silver bullet
- Latent variable
- Computer science
- Scanning electron microscope
- Mathematics
- Management science