Model Selection in Mixture Regression Analysis-A Monte Carlo Simulation Study. - Marko Sarstedt; Manfred Schwaiger (GfKl, 2007)

Finite Mixture and Genetic Algorithm Segmentation in Partial Least Squares Path Modeling: Identification of Multiple Segments in Complex Path Models. - Christian M. Ringle; Marko Sarstedt; Rainer Schlittgen (GfKl, 2008)

Influence of Community Design on User Behaviors in Online Communities. - Marina Fiedler; Marko Sarstedt (ICIS, 2010)

Is there a tacit acceptance of student samples in marketing and management research? - Sebastian Fuchs; Marko Sarstedt (Int. J. Data Anal. Tech. Strateg., 2010)

Management of multi-purpose stadiums: importance and performance measurement of service interfaces. - Claudia Hock; Christian M. Ringle; Marko Sarstedt (Int. J. Serv. Technol. Manag., 2010)

Response-Based Segmentation Using Finite Mixture Partial Least Squares - Theoretical Foundations and an Application to American Customer Satisfaction Index Data. - Christian M. Ringle; Marko Sarstedt; Erik A. Mooi (Data Mining, 2010)

Perceived Software Platform Openness: The Scale and its Impact on Developer Satisfaction. - Daniel Hilkert; Alexander Benlian; Marko Sarstedt; Thomas Hess (ICIS, 2011)

Goodness-of-fit indices for partial least squares path modeling. - Jörg Henseler; Marko Sarstedt (Comput. Stat., 2013)

Genetic algorithm segmentation in partial least squares structural equation modeling. - Christian M. Ringle; Marko Sarstedt; Rainer Schlittgen (OR Spectr., 2014)

selfsurvey.org: A Platform for Prediction-Based Benchmarking and Feedback-Enabled Survey Research. - Till J. Winkler; Marko Sarstedt; Marian Keil; Paul Rost (ECIS, 2015)

Gain more insight from your PLS-SEM results: The importance-performance map analysis. - Christian M. Ringle; Marko Sarstedt (Ind. Manag. Data Syst., 2016)

Heuristics versus statistics in discriminant validity testing: a comparison of four procedures. - George Franke; Marko Sarstedt (Internet Res., 2019)

Methodological research on partial least squares structural equation modeling (PLS-SEM). - Gohar Feroz Khan; Marko Sarstedt; Wen-Lung Shiau; Joseph F. Hair; Christian M. Ringle; Martin P. Fritze (Internet Res., 2019)

Internet research using partial least squares structural equation modeling (PLS-SEM). - Wen-Lung Shiau; Marko Sarstedt; Joseph F. Hair (Internet Res., 2019)

PLS-Based Model Selection: The Role of Alternative Explanations in Information Systems Research. - Pratyush Nidhi Sharma; Marko Sarstedt; Galit Shmueli; Kevin Hyunkyung Kim; Kai Oliver Thiele (J. Assoc. Inf. Syst., 2019)

Data generation for composite-based structural equation modeling methods. - Rainer Schlittgen; Marko Sarstedt; Christian M. Ringle (Adv. Data Anal. Classif., 2020)

When predictors of outcomes are necessary: guidelines for the combined use of PLS-SEM and NCA. - Nicole Franziska Richter; Sandra Schubring; Sven Hauff; Christian M. Ringle; Marko Sarstedt (Ind. Manag. Data Syst., 2020)

Guest Editorial: Special Issue on Composite-based Structural Equation Modeling. - Heungsun Hwang; Christian M. Ringle; Marko Sarstedt (Data Base, 2021)

Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling. - Benjamin Dybro Liengaard; Pratyush Nidhi Sharma; G. Tomas M. Hult; Morten Berg Jensen; Marko Sarstedt; Joseph F. Hair; Christian M. Ringle (Decis. Sci., 2021)

Prediction-Oriented Model Selection in Partial Least Squares Path Modeling. - Pratyush Nidhi Sharma; Galit Shmueli; Marko Sarstedt; Nicholas P. Danks; Soumya Ray (Decis. Sci., 2021)

Extraordinary Claims Require Extraordinary Evidence: A Comment on "Recent Developments in PLS". - Pratyush Nidhi Sharma; Benjamin Dybro Liengaard; Marko Sarstedt; Joseph F. Hair; Christian M. Ringle (Commun. Assoc. Inf. Syst., 2022)

A framework for enhancing the replicability of behavioral MIS research using prediction oriented techniques. - Pratyush Nidhi Sharma; Marko Sarstedt; Christian M. Ringle; Jun-Hwa Cheah; Anne Herfurth; Joseph F. Hair (Int. J. Inf. Manag., 2024)