Testing Moderating Effects in PLS Path Models. An Illustration of Available Procedures

By Jörg Henseler, Georg Fassott. 2005

1,264 citations recorded by the source corpus.

Subfields: Food Science, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/9fa09ac7563565d64453e2b6f4579c540ce55273

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Citations in the corpus

PLS-SEM: Indeed a Silver Bullet (2011, background): “Other studies broach the issue of moderating effects (Henseler and Chin 2010; Henseler and Fassott 2010), hierarchical component models (Wetzels, Odekerken-Schroder, and van Oppen 2009), and higherorder interaction effects in hierarchical component models (Wilson 2010).”
Do comprehensive performance measurement systems help or hinder managers' mental model development? (2011, methodology): “15 As the group comparison approach can be considered suboptimal for continuous variables (Gerdin and Greve, 2008; Henseler and Fassott, 2010), I also construct models to test interaction effects directly in PLS, using the procedure in Henseler and Fassott (2010) and Chin et al. (2003).”
Managing the Bright and Dark Sides of Status Endowment in Hierarchical Loyalty Programs (2015, neutral): “Dummification is the most widely used coding scheme to analyze categorical independent variables (Henseler and Fassott 2010).”
An assessment of the use of partial least squares structural equation modeling in marketing research (2011, methodology): “…partial least squares (FIMIX-PLS; Hahn et al. 2002; Sarstedt et al. 2011a); (4) guidelines for analyzing moderating effects (Henseler and Chin 2010; Henseler and Fassott 2010); (5) non-linear effects (Rigdon et al. 2010); and (6) hierarchical component models (Lohmöller 1989; Wetzels et al. 2009).”
ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT (2018, methodology): “Besides Henseler and Chin (2010), Henseler and Fassott (2010), and Hair, Hult, Ringle, and Sarstedt (2017, Chapter 7) explain and discuss in detail these three approaches.”
The Cognitive-Affective-Conative Model of Destination Image: A Confirmatory Analysis (2013, background): “Indirect effects, also called mediating effects, take place when an independent variable, X, has an impact on a third variable, Z, which then influences the dependent variable, Y (Henseler & Fassott, 2010).”
The interrelationship between SME government support programs, entrepreneurial orientation, and performance: A developing economy perspective (2020, methodology): “This study followed the two-step product-indicator approach recommended by Henseler and Fassott (2010) to be a robust analysis for interaction term effects appropriate for models with formative constructs, and has also been used in recent studies on EO and GSP research (Boso et al., 2013).”
Dynamic capabilities and performance : strategy, structure and environment (2013, methodology): “As our moderator variables are continuous, we decided to use the former approach, as both formalization and competitive intensity are non-categorical variables and the product term approach has been found to be superior to the group comparison approach (Henseler and Fassott, 2010; Wilson, 2010).”
The effects of perceived relevance of travel blogs' content on the behavioral intention to visit a tourist destination (2014, background): “Hence, it is questionable whether the variable is really latent (Henseler & Fassott, 2010).”