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.
Partial Least Squares
Schuberth, F., & Henseler, J. (2018). Testing design-oriented auxiliary theories using PLS path modeling. In COMPSTAT 2018
Müller, T., Schuberth, F., & Henseler, J. (2018). PLS path modeling: A confirmatory approach to study tourism technology and tourist behavior. Journal of Hospitality and Tourism Technology, [JHTT-09-2017-0106].
Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Partial least squares path modeling using ordinal categorical indicators. Quality and quantity, 52(1), 9-35. DOI: 10.1007/s11135-016-0401-7
Rodriguez-Entrena, M., Schuberth, F., & Gelhard, C. V. (2018). Assessing statistical differences between parameters estimates in Partial Least Squares path modeling. Quality and quantity, 52(1), 57-69. DOI: 10.1007/s11135-016-0400-8
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., 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
- Quantitative and Design Methods in Business Research
- Empirical Methods for Designers