Scientific Publications and Presentations

Articles in Refereed Journals

Book Chapters

  • Schamberger, Tamara; Cantaluppi, Gabriele; Schuberth, Florian (accepted). Revisiting and Extending PLS for Ordinal Measurement and Prediction. In Latan, Hengky; Hair, Joseph F.; Noonan, Richard (Eds.), Partial Least Squares Path Modeling – Basic Concepts, Methodological Issues and Applications (2nd edition), Springer Nature, 155-182. https://doi.org/10.1007/978-3-031-37772-3_6Revisiting and Extending PLS for Ordinal Measurement and Prediction
  • Schuberth, Florian; Müller, Tobias; Henseler, Jörg (2021). Which equations? An inquiry into the equations in partial least squares structural equation modeling. In: Kemény, Ildikó; Kun, Zsuzsanna (Eds.), New Perspectives in Serving Customers, Patients, and Organizations: A Festschrift for Judit Simon. Budapest: Corvinus University of Budapest, 96-115. http://hdl.handle.net/10362/130227
  • Henseler, Jörg; Schuberth, Florian (2021). Confirmatory composite analysis. In: Henseler, Jörg (Ed.), Composite-based structural equation modeling: Analyzing Latent and Emergent Variables. New York, London: Guilford Press, 179-201. Link
  • Henseler, Jörg; Schuberth, Florian (2021). Auxiliary Theories. In: Henseler, Jörg (Ed.), Composite-based structural equation modeling: Analyzing Latent and Emergent Variables. New York, London: Guilford Press, 25-37. Link
  • Cantaluppi, Gabriele; Schuberth, Florian (2019). A prediction method for ordinal consistent partial least squares. In: Arbia, Giuseppe; Peluso, Stefano; Pini, Alessia; Rivellini, Giulia (Eds.), Smart Statistics for Smart Applications – Book of Short Papers SIS2019. Pearson.
  • Henseler, Jörg; Müller, Tobias; Schuberth, Florian (2018). New guidelines for the use of PLS path modeling in hospitality, travel and tourism research. In: Ali, Faizan.; Rasoolimanesh, S. Mostafa; Cobanoglu, Cihan (Eds.), Applying Partial Least Squares in Tourism and Hospitality Research. Bingley: Emerald, 17-33. https://doi.org/10.1108/978-1-78756-699-620181002New guidelines for the use of PLS path modeling in hospitality, travel, and tourism research
  • Schuberth, Florian; Cantaluppi, Gabriele (2017). Ordinal consistent partial least squares. In: Latan, Hengky; Noonan, Richard (Eds.), Partial Least Squares Path Modeling Basic Concepts, Methodological Issues and Applications. Berlin, Heidelberg: Springer,  109-150. https://doi.org/10.1007/978-3-319-64069-3_6Ordinal consistent partial least squares

Dissertation

  • Schuberth, Florian (2019). Composite-based Methods in Structural Equation Modeling, University of Würzburg.

Working Papers

  • Schuberth, Florian; Büchner, Rebecca; Schermelleh-Engel, Karin; Dijkstra, Theo K. (2017). Polynomial factor models: non-iterative estimation via method-of-moments.
  • Höhn, Balthasar; Schuberth, Florian; Steiner, Manuel (2014). Dealing with Heteroskedasticity, Autocorrelation and Endogeneity in German Audit Fee Panel Data – Comparing Approaches. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2756338

Conference Presentations

  • Schuberth, Florian. A new approach for specifying composites in structural equation models: The Henseler-Ogasawara specification. EAM2023, 10th Congress of Methodology. Ghent, Belgium, July 10-13, 2023.
  • Yu, Xi; Schuberth, Florian; Henseler, Jörg. Specifying composites in growth curve analysis. Advanced Techniques for Longitudinal Data Analysis in Social Science, Bielefeld, Germany, March 15-17, 2023.
  • Yu, Xi; Fassott, Georg; Schuberth, Florian; Henseler, Jörg. A new approach for modeling aggregate constructs. Structural Equation Modeling: New Developments and Applications, Tilburg, Netherlands, March 9-11, 2022.
  • Schuberth, Florian. Specifying composites in structural equation modeling: the Henseler-Ogasawara specification. 13-th Scientific Meeting Classification and Data Analysis Group (CLADAG 2021), Firenze, Italy (online), September 9-11, 2021.
  • Yu, Xi; Kristal, Samuel; Schuberth, Florian; Henseler, Jörg. Customers as advocates in times of brand crises: Why, when and how? EMAC 2021 – The 50th Annual Conference of The European Marketing Academy, Madrid, Spain (online), May 25-28, 2021.
  • Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg. Maximum likelihood estimator For composite models. Meeting of the Working Group Structural Equation Modeling, Vienna, Austria (online), March 18-19, 2021.
  • Cantaluppi, Gabriele; Schuberth, Florian (2019) A Prediction Method for Ordinal Consistent Partial Least Squares. SIS 2019 – Smart Statistics for Smart Applications, Milan, Italy. June 19. Link
  • Schuberth, Florian (2019) Auxiliary theory for concepts of design research using emergent variables. Meeting of the Working Group Structural Equation Modeling, Tübingen, Germany. February/March 27 – 1.
  • Rademaker, Manuel E.; Schuberth, Florian (2019) cSEM: A package for composite-based SEM. Meeting of the Working Group Structural Equation Modeling, Tübingen, Germany. February/March 27 – 1. Link
  • Schuberth, Florian; Henseler, Jörg (2018) Testing design-oriented auxiliary theories using PLS-PM, 23rd International Conference on Computational Statistics (COMPSTAT 2018), Iasi, Romania, August 28-31.
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018) Confirmatory Composite Analysis. Meeting of the Working Group Structural Equation Modeling, Amsterdam, The Netherlands. March 15-16. Link
  • Benitez, José; Castillo, Ana; Schuberth, Florian (2017). A theory on the role of information technology in value creation from open innovation. 8th Annual Conference of the European Decision Sciences Institute, Granada, Spain, May/June 29 – 1.
  • Schuberth, Florian; Büchner, Rebecca; Schermelleh-Engel, Karin; Dijkstra, Theo K. (2017). Polynomial factor models: non-iterative estimation via method-of-moments. Meeting of the Working Group Structural Equation Modeling, Ghent, Belgium, March 16-17. Link
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2016). Partial least squares path modeling using ordinal categorical indicators. Meeting of the Working Group Structural Equation Modeling, Zurich, Suisse, April 7-8. Link

Invited Talks

  • Henseler, Jörg; Schuberth, Florian (2023). Structural equation modeling: What is it? What can it do for us? Danone Nutricia Research, Utrecht, The Netherlands, November, 9.
  • Schuberth, Florian (2023). Open science & our community in Twente, Doctoral Seminar (Host: Jörg Henseler) University of Twente, Enschede, The Netherlands, March 31.
  • Schuberth, Florian (2022). Partial least squares path modeling – Developments and experiences, Research Seminar (Host: Yves Rosseel) University of Ghent, Belgium, June 3.
  • Schuberth, Florian (2022). Partial least squares path modeling, Research Seminar (Host: Steffen Zitzmann) University of Tübingen, Germany, April 22.
    Schuberth, Florian (2021). Confirmatory composite analysis YoungStatS webinar (Host: YoungStatS) online, May 19. Link.
  • Schuberth, Florian (2020). Confirmatory composite analysis: What is it & how is it applied? YouTube webinar (Host: Faizan Ali) online, October 9. Link, Slides.
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2019). Confirmatory Composite Analysis, Research Seminar (Host: Giorgio Russolillo), CNAM, France, June 18. Link
  • Schuberth, Florian; Dijkstra, Theo K. (2019). Polynomial factor models: non-iterative estimation via method-of-moments and Croon’s method, Research Seminar (Host: Yves Rosseel), University of Ghent, Belgium, February 7. Link
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018). Confirmatory Composite Analysis, Research Seminar (Host: Marko Sarstedt), University of Magdeburg, Germany, November 1. Link

Software Development