Marko Sarstedt
38 ta ish
Ludwig Maximilian University of Munich
A new criterion for assessing discriminant validity in variance-based structural equation modeling
Jörg Henseler, Christian M. Ringle, Marko Sarstedt
MaqolaOchiq kirish201490 iqtibosABIWhen to use and how to report the results of PLS-SEM
Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt +1
MaqolaOchiq kirish201871 iqtibosABIPartial least squares structural equation modeling (PLS-SEM)
Joe F. Hair, Marko Sarstedt, Lucas Hopkins +1
Maqola201427 iqtibosABIPLS-SEM: Indeed a Silver Bullet
Joe F. Hair, Christian M. Ringle, Marko Sarstedt
Maqola201126 iqtibosABIPartial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Joseph F. Hair, G. Tomas M. Hult, Christian M. Ringle +3
KitobOchiq kirish202124 iqtibosABIPLS-SEM or CB-SEM: updated guidelines on which method to use
Joe F. Hair, Lucy M. Matthews, Ryan Matthews +1
Maqola201719 iqtibosABIPredictive model assessment in PLS-SEM: guidelines for using PLSpredict
Galit Shmueli, Marko Sarstedt, Joseph F. Hair +4
MaqolaOchiq kirish201916 iqtibosABIHow to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM
Marko Sarstedt, Joseph F. Hair, Jun‐Hwa Cheah +2
Maqola201910 iqtibosABIPLS-SEM’s most wanted guidance
Jan-Michael Becker, Jun‐Hwa Cheah, Rasoul Gholamzade +2
MaqolaOchiq kirish20225 iqtibosABIPartial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers
Marko Sarstedt, Christian M. Ringle, Donna Smith +2
MaqolaOchiq kirish20145 iqtibosABIGain more insight from your PLS-SEM results
Christian M. Ringle, Marko Sarstedt
Maqola20164 iqtibosABICommon Beliefs and Reality About PLS
Jörg Henseler, Theo K. Dijkstra, Marko Sarstedt +7
MaqolaOchiq kirish20144 iqtibosABIIdentifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method
Joe F. Hair, Marko Sarstedt, Lucy M. Matthews +1
MaqolaOchiq kirish20154 iqtibosABIEvaluation of Reflective Measurement Models
Joseph F. Hair, G. Tomas M. Hult, Christian M. Ringle +3
Bob20214 iqtibosABI