Executing and interpreting applications of PLS-SEM: Updates for family business researchers
By Joseph F. Hair, Claudia Binz Astrachan, O. Moisescu, Lăcrămioara Radomir, Marko Sarstedt, Santha Vaithilingam, Christian M. Ringle. 2020
793 citations recorded by the source corpus.
Abstract The use of partial least squares structural equation modeling (PLS-SEM) has been gaining momentum in family business research. Since the publication of a PLS-SEM guidelines article in the Journal of Family Business Strategy’s special issue on “Innovative and Established Research Methods in Family Business” in 2014, methodological research has developed new model evaluation methods and metrics and sharpened our understanding of the method’s strengths and limitations. In light of these developments, we extend prior guidelines on PLS-SEM applications by discussing new model evaluation procedures (e.g., model selection) and metrics (e.g., PLSpredict). In addition, we highlight the usefulness of methodological extensions for discrete choice modeling and endogeneity assessment that considerably extend the scope of the PLS-SEM method, and emerging opportunities for the application of PLS-SEM with archival (secondary) data. PLS-SEM remains a valuable method in the context of family business research, especially when it comes to gaining a more sophisticated understanding of the drivers of family business behavior. Because of its properties, the PLS-SEM approach proves particularly valuable when the aim is to predict target variables (e.g., family firm performance) in the context of a causal model.
Subfields: Management of Technology and Innovation, Organizational Behavior and Human Resource Management, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/e0aefe591d367a25ac7307ab5e04f0cca9fb69b8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Organizational Behavior and Human Resource Management
Citations in the corpus
- Are you an energy saver at home? The personality insights of household energy conservation behaviors based on theory of planned behavior (2021, methodology): “It has the advantages of multiple regression analysis, path analysis, and other methods to reveal the effect of influencing factors on the unified model and the relationship between factors (Hair et al., 2020).”