Improving PLS-SEM use for business marketing research
University of Liverpool · Universität Hamburg · +2 more institutions
Abstract
A review of studies published in Industrial Marketing Management over the past two decades and more shows that these studies not only used partial least squares structural equation modeling (PLS-SEM) widely to estimate and empirically substantiate theoretically established models with constructs, but did so increasingly. In line with their study goals, researchers provided reasons for using PLS-SEM (e.g., model complexity, limited sample size, and prediction). These reasons are frequently not fully convincing, requiring further clarification. Additionally, our review reveals that researchers' assessment and reporting of their measurement and structural models are insufficient. Certain tests and thresholds that…
Citation impact
- FWCI
- 219.57
- Percentile
- 100%
- References
- 181
Authors
5Topics & keywords
- Structural equation modeling
- Partial least squares regression
- Robustness (evolution)
- Computer science
- Sample (material)
- Field (mathematics)
- Management science
- Mathematics
- Industry, innovation and infrastructure