Jörg Henseler and Christian M. Ringle,
PLS Path Modeling
List of Provided Papers
1. Gudergan, S.P.; Ringle, C.M.; Wende, S.; Will, A. (2008). Confirmatory Tetrad Analysis in
PLS Path Modeling. Journal of Business Research, 61 (12), 1238-1249.
2. Hair, J.F.; Ringle, C.M.; Sarstedt M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of
Marketing Theory and Practice, 18 (2), 139-152.
3. Hair, J.F.; Sarstedt, M.; Ringle, C.M.; Mena, J.A. (2012). An Assessment of the Use of Partial
Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of
Marketing Science, forthcoming (available online).
4. Henseler, J. (2010). On the Convergence of the Partial Least Squares Path Modeling Algorithm.
Computational Statistics, 25 (1), 107-120.
5. Henseler, J. and Chin, W.W. (2010). A Comparison of Approaches for the Analysis of
Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling.
Structural Equation Modeling, 17 (1), 82-109.
6. Henseler, J.; Ringle, C.M.; Sinkovics, R. (2009). The Use of Partial Least Squares Path
Modeling in International Marketing. Advances in International Marketing, Vol. 20, pp. 277-
319.
7. Henseler, J. and Fassott, G. (2010). Testing Moderating Effects in PLS Path Models: An
Illustration of Available Procedures. In: Esposito Vinzi, V.; Chin, W.W.; Henseler, J.; Wang, H.
(Eds.). Handbook of Partial Least Squares: Concepts, Methods and Applications (Springer
Handbooks of Computational Statistics Series, vol. II). Heidelberg, Dordrecht, London, New
York: Springer, pp. 713-735.
8. Höck, C.; Ringle, C.M.; Sarstedt, M. (2010) Management of Multi-Purpose Stadiums:
Importance and Performance Measurement of Service Interfaces. International Journal of
Services Technology and Management, 14 (2/3), 188-207.
9. Reinartz, W.; Haenlein, M.; Henseler, J. (2009). An Empirical Comparison of the Efficacy of
Covariance-Based and Variance-Based SEM. International Journal of Research in Marketing,
26 (4), 332-344.
10. Ringle, C.M.; Sarstedt, M.; Mooi, E.A. (2010). Response-based Segmentation Using Finite
Mixture Partial Least Squares: Theoretical Foundations and an Application to American
Customer Satisfaction Index Data. Annals of Information Systems, 8 (1), 19-49.
11. Sarstedt, M.; Becker, J.-M.; Ringle, C.M.; Schwaiger, M. (2011). Uncovering and Treating
Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an
Appropriate Number of Segments? Schmalenbach Business Review, 63 (1), 34-62.
12. Sarstedt, M. and Ringle, C.M. (2010). Treating Unobserved Heterogeneity in PLS Path
Modelling: A Comparison of FIMIX-PLS with Different Data Analysis Strategies. Journal of
Applied Statistics, 37 (8), 1299-1318.
13. Sattler, H.; Völckner, F.; Riediger, C.; Ringle, C.M. (2010). The Impact of Brand Extension
Success Factors on Brand Extension Price Premium. International Journal of Research in
Marketing, 27 (4), 319-328.
14. Völckner, F.; Sattler, H.; Hennig-Thurau, T.; Ringle, C.M. (2010). The Role of Parent Brand
Quality for Service Brand Extension Success. Journal of Service Research, 13 (4), 359-361.
