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F. Schuberth (Florian)

Assistant Professor

About Me

I graduated in Economics from the University of Wuerzburg. I did my Ph.D. in Econometrics under the supervision of Prof. Dr. Martin Kukuk (University of Würzburg) and Prof. Dr. Jörg Henseler (University of Twente) at the Chair of Econometrics at the University of Wuerzburg. My main research interests are composite-based structural equation modeling and variance-based estimators.

Expertise

Blood Stains
Modeling
Indicator
Oils
Food
Decision Making
Parameter
Modeling
Categorical
Partial Least Squares
Construct
Projection (Statistical)
Path
Hospitality
Modeling

Publications

Recent
Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Confirmatory Composite Analysis. Paper presented at Meeting of the Working Group SEM, Amsterdam, Netherlands.
Benitez, J., Castillo, A., & Schuberth, F. (2017). A theory on the role of information technology in value creation from open innovation. Paper presented at 8th Annual Conference of the European Decision Sciences Institute , Granada, Spain.
Schuberth, F., Büchner, R., Schermelleh-Engel, K., & Dijkstra, T. K. (2017). Polynomial factor models: non-iterative estimation via method-of-moments. Paper presented at Meeting of the working group Structural Equation Modeling (SEM), Ghent, Belgium.
Schuberth, F., & Cantaluppi, G. (2017). Ordinal Consistent Partial Least Squares. In H. Latan, & R. Noonan (Eds.), Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications (pp. 109-150). Springer Publisher. DOI: 10.1007/978-3-319-64069-3_6
Schuberth, F., Henseler, J., & Dijkstra, T. K. (2016). Partial least squares path modeling using ordinal categorical indicators. -. Paper presented at Meeting of the Working Group Structural Equation Modeling, Zurich, Switzerland.

UT Research Information System

Google Scholar Link

Education

- Quantitative and Design Methods in Business Research

- Empirical Methods for Designers

Courses

Contact Details

Visiting Address

University of Twente
Faculty of Engineering Technology
Horst - Ring (building no. 21), room W 246
De Horst 2
7522LW  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Engineering Technology
Horst - Ring  W 246
P.O. Box 217
7500 AE Enschede
The Netherlands