PLS structural equation modeling : SmartPLS 3 includes state-of-the-art options for analyses such as importance-performance matrix analysis (IPMA), multi-group analysis (MGA), hierarchical component models second-order models), nonlinear relationships (e.g., quadratic effect), confirmatory tetrad analysis (CTA), finite mixture (FIMIX) segmentation, and prediction-oriented segmentation (POS).

References in zbMATH (referenced in 11 articles )

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  1. Suarez, Eva; Calvo-Mora, Arturo; Roldán, José Luis: The role of strategic planning in excellence management systems (2016)
  2. Backhaus, Klaus; Erichson, Bernd; Weiber, Rolf: Advanced multivariate analysis methods. An application oriented introduction (2015)
  3. Hwang, Heungsun; Takane, Yoshio: Generalized structured component analysis. A component-based approach to structural equation modeling (2015)
  4. Shanmugapriya, S.; Subramanian, K.: Structural equation model to investigate the factors influencing quality performance in Indian construction projects (2015)
  5. Hair, Joseph F. jun.; Hult, G. Tomas M.; Ringle, Christian M.; Sarstedt, Marko: A primer on partial least squares structural equation modeling (PLS-SEM) (2014)
  6. Ringle, Christian M.; Sarstedt, Marko; Schlittgen, Rainer: Genetic algorithm segmentation in partial least squares structural equation modeling (2014)
  7. Henseler, Jörg; Sarstedt, Marko: Goodness-of-fit indices for partial least squares path modeling (2013)
  8. Henseler, Jörg: On the convergence of the partial least squares path modeling algorithm (2010)
  9. Laumer, Sven; Eckhardt, Andreas; Trunk, Natascha: Do as your parents say? - Analyzing IT adoption influencing factors for full and under age applicants (2010)
  10. Hanafi, Mohamed: PLS path modelling: computation of latent variables with the estimation mode B. (2007)
  11. Beimborn, Daniel; Franke, Jochen; Gomber, Peter; Wagner, Heinz-Theo; Weitzel, Tim: Die bedeutung des alignment von IT und fachressourcen in finanzprozessen eine empirische untersuchung (2006)