Partial least squares path modeling: Time for some serious second thoughts
By Mikko Rönkkö, C. Mcintosh, John Antonakis, J. Edwards. 2016
289 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering
View Paper: https://www.semanticscholar.org/paper/7d77bfb71e672dac23c9030184b5b9cec1363ab6
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In Civil and Structural Engineering
Citations in the corpus
- On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations (2017, methodology): “Studies that dramatize differences in the methods (Rönkkö et al., 2016; Rönkkö & Evermann, 2013), thereby inflating the relevance of method choice, have contributed to this development.”
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (2017, background): “2015) and other composite-based techniques, such as GSCA, and sum scores regression (e.g., Rönkkö and Evermann 2013; Rönkkö et al. 2016).”
- Estimation issues with PLS and CBSEM: Where the bias lies! ☆ (2016, background): “426), that its use is restricted to few domains (Rönkkö et al., 2016; Rönkkö et al., 2015) and that “PLS is not useful for statistical estimation and testing” (Rönkkö et al.”
- Jack of all, master of all? CEO generalist experience and firm performance (2019, background): “Recent works in organizational research have questioned the general validity of formative constructs (Edwards, 2011; Rönkkö et al., 2016).”
- An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, methodology): “Researchers opposing the use of PLS-SEM (Rönkkö et al., 2016; Rönkkö and Evermann, 2013) argue that it is not a (factor-based) latent variable method, lacks goodnessof-fit measures and produces biased parameter estimates (Rönkkö et al.”
- Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture (2019, methodology): “However, in recent years some scholars have raised concerns over the use of PLS technique (see, Ronkko and Evermann, 2013; Guide and Ketokivi, 2015; Ronkko et al., 2016).”