Christian M. Ringle

Christian M. Ringle is a professor of management at the Hamburg University of Technology, and a visiting professor at the University of Waikato in Hamilton, New Zealand.[1][2] He is one of the authors of SmartPLS, a Java-based software package for variance-based structural equation modeling using the partial least squares path modeling method.[3]:4 Christian Ringle has been included in the 2018 and 2019 Clarivate Analytics' highly cited researchers list.

Christian M. Ringle
Scientific career
InstitutionsHamburg University of Technology
Websitewww.tuhh.de/hrmo/team/prof-dr-c-m-ringle.html


Selected publications

Books

  • Hair, J.F.; Hult, G.T.M.; Ringle, C.M.; Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2 ed.). Thousand Oaks, CA: Sage. ISBN 9781483377445.
  • Hair, J.F.; Sarstedt, M.; Ringle, C.M.; Gudergan, S.P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling. Thousand Oaks, CA: Sage. ISBN 9781483377391.

Journal articles

  • Hair, J.F.; Hult, G.T.M.; Ringle, C.M.; Sarstedt, M.; Thiele, K.O. (2017). "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods". Journal of the Academy of Marketing Science (JAMS). (forthcoming) (5): 616–632. doi:10.1007/s11747-017-0517-x.
  • Hair, J.F.; Sarstedt, M.; Matthews, L.M.; Ringle, C.M. (2016). "Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method". European Business Review. 28 (1): 63–76. doi:10.1108/EBR-09-2015-0094.
  • Matthews, L.M.; Sarstedt, M.; Hair, J.F.; Ringle, C.M. (2016). "Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part II - A case study". European Business Review. 28 (2): 208–224. doi:10.1108/EBR-09-2015-0095.
  • Relling, M.; Schnittka, O.; Ringle, C.M.; Sattler, H.; Johnen, M. (2016). "Community Members' Perception of Brand Community Character: Construction and Validation of a New Scale". Journal of Interactive Marketing. 36: 107–120. doi:10.1016/j.intmar.2016.07.002.
  • Ringle, C.M.; Sarstedt, M. (2016). "Gain More Insight from Your PLS-SEM Results: The Importance-Performance Map Analysis". Industrial Management & Data Systems. 116 (9): 1865–1886. doi:10.1108/IMDS-10-2015-0449.
  • Sarstedt, M.; Hair, J.F.; Ringle, C.M.; Thiele, K.O.; Gudergan, S.P. (2016). "Estimation issues with PLS and CBSEM: Where the bias lies!". Journal of Business Research. 69 (10): 3998–4010. doi:10.1016/j.jbusres.2016.06.007.
  • Schlittgen, R.; Ringle, C.M.; Sarstedt, M.; Becker, J.-M. (2016). "Segmentation of PLS path models by iterative reweighted regressions". Journal of Business Research. 69 (10): 4583–4592. doi:10.1016/j.jbusres.2016.04.009.
  • Henseler, J.; Ringle, C.M.; Sarstedt, M. (2015). "A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling". Journal of the Academy of Marketing Science. 43 (1): 115–135. doi:10.1007/s11747-014-0403-8.}
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References
  1. Prof. Dr. Christian M. Ringle. Hamburg University of Technology (TUHH), Institute of Human Resource Management and Organizations (HRMO). Accessed July 2017.
  2. Prof. Dr. Christian M. Ringle. Strategic Management Society (SMS). Accessed August 2017.
  3. Dirk Temme, Henning Kreis, Lutz Hildebrandt (2010). A Comparison of Current PLS Path Modeling Software: Features, Ease-of-Use, and Performance. In Handbook of Partial Least Squares. Berlin; Heidelberg: Springer. Pages 737-756.
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