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 | |
| Institutions | Hamburg University of Technology |
| Website | www |
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. S2CID 169003195.
- 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. hdl:1959.13/1342177. S2CID 207313094.}
References
- Prof. Dr. Christian M. Ringle. Hamburg University of Technology (TUHH), Institute of Human Resource Management and Organizations (HRMO). Accessed July 2017.
- Prof. Dr. Christian M. Ringle. Strategic Management Society (SMS). Accessed August 2017.
- 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.
Authority control  |
|---|
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.