The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications

By Joseph F. Hair, Marko Sarstedt, Torsten M. Pieper, Christian M. Ringle. 2012

2,376 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/82e701ccb409be69c50d26069a675076b5877885

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In Management Science and Operations Research

Citations in the corpus

On the adoption of partial least squares in psychological research: Caveat emptor (2015, background): “…extensively used in the information systems domain (Ringle, Sarstedt, & Straub, 2012), and is gradually and worryingly receiving greater uptake in many management disciplines (Antonakis, Bastardoz, Liu, & Schriesheim, 2014; Hair et al., 2012; Rönkkö, 2014), it has not undergone formal testing.”
Institutional support and women’s entrepreneurial self-efficacy (2017, methodology): “Second, PLS regression yields more accurate and rigorous parameter estimates, particularly when the models are complex due to the inclusion of many measurement items per variable (Hair et al., 2011, 2012).”
Purchase intention toward organic food among young consumers using theory of planned behavior: role of environmental concerns and environmental awareness (2020, methodology): “This was measured by considering the external load of the item associated with a particular construction (Hair et al. 2012).”
PLS-SEM: Looking Back and Moving Forward (2014, background): “As a consequence, PLS-SEM has been increasingly adopted by social science disciplines (e.g., Hair et al., 2012b; Hair et al., 2012c; Lee et al., 2011; Peng and Lai, 2012; Ringle et al., 2012), experiencing increasing dissemination in various sub-disciplines (e.g., family business research; Binz…”
Using Partial Least Squares Structural Equation Modeling in Tourism Research (2016, methodology): “Researchers need to consider the effects of size, reliability, total number of indicators, data characteristics, and other issues likely to affect the statistical power of the PLS-SEM method (Hair et al. 2012b).”
A new criterion for assessing discriminant validity in variance-based structural equation modeling (2015, methodology): “Reviews of PLS use suggest that these recommendations have been widely applied in published research in the fields of management information systems (Ringle et al. 2012), marketing (Hair et al. 2012a), and strategic management (Hair et al. 2012b).”
On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) (2014, methodology): “This is evidenced in practically all reviews of PLS-SEM use across different disciplines (e.g., Hair et al., 2012c; Hair et al., 2012a; Ringle et al., 2012).”