Using Partial Least Squares Path Modeling in Advertising Research: Basic Concepts and Recent Issues

403 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability (2018, background): “A PLS-SEM approach is particularly reasonable and beneficial for this purpose [93,94], as it offers a high level of statistical power for relatively small sample sizes [95].”
Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling (2017, background): “In many cases, simple polynomial extensions can help model the typical nonlinearities in advertising research (Dijkstra and Henseler 2011; Henseler et al. 2012).”
The Relation among Organizational Culture, Knowledge Management, and Innovation Capability: Its Implication for Open Innovation (2021, background): “Particularly, the structural model’s predictive strength is determined by the R2 values of the endogenous constructs [52,64].”
Using Partial Least Squares Structural Equation Modeling in Tourism Research (2016, methodology): “…the use of PLS-SEM in tourism and to provide recommendations for the use of the technique in future tourism research (for explanations of the PLS-SEM method itself, see, e.g., Chin 2010; Hair, Ringle, and Sarstedt, 2011; Henseler, Ringle, and Sinkovics 2009; Henseler, Ringle, and Sarstedt 2012).”