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PLS-SEM: Looking Back and Moving Forward

Authors: Sarstedt, Marko; Ringle, Christian M.; Hair, Joseph F.;

PLS-SEM: Looking Back and Moving Forward

Abstract

This article introduces and motivates an exchange of thoughts on the paper by Edward E. Rigdon in the first of two Long Range Planning special issues on partial least squares structural equation modeling (PLS-SEM) in strategic management published in 2012 and 2013. For 30 years, there has been a heated debate on the benefits and drawbacks of PLS-SEM versus those of its sibling, the covariance-based structural equation modeling (CB-SEM) approach. Edward E. Rigdon's paper is a milestone that proposes a change of thought and encourages the long-required emancipation of the PLS-SEM method from CB-SEM. These developments will have a pronounced impact on the proper application of SEM as a key multivariate analysis method in the strategic management discipline, further enhancing the potential it has as a research tool.

Countries
Germany, United States
Related Organizations
Keywords

Strategic Management Policy

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
286
Top 0.1%
Top 1%
Top 10%
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