Scientific Publications and Presentations

Articles in Refereed Journals

  • Yu, Xi; Zaza, Sam; Schuberth, Florian; Henseler, Jörg (accepted). Representing forged concepts as emergent variables using composite-based structural equation modeling. The DATA BASE for Advances in Information Systems.
  • Henseler, Jörg; Schuberth, Florian (forthcoming). Partial least squares as a tool for scientific inquiry: Comments on Cadogan and Lee. European Journal of Marketing, conditionally accepted for publication.
  • Schuberth, Florian; Rademaker, Manuel; Henseler, Jörg (forthcoming). Assessing the overall fit of composite models estimated by partial least squares path modeling. European Journal of Marketing, conditionally accepted for publication.
  • Schuberth, Florian (accepted). The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial. Psychological Methods.
  • Klesel, Michael; Schuberth, Florian; Niehaves, Bjoern; Henseler, Jörg (accepted) Multigroup analysis in information systems research using PLS-PM: A systematic investigation of approaches. The DATA BASE for Advances in Information Systems.
  • Roemer, Ellen; Schuberth, Florian; Henseler, Jörg (2021). HTMT2 – An improved criterion for assessing discriminant validity in structural equation modeling. Industrial Management & Data Systems, 121(21), 2637-2650. Link
  • Hubona, Geoffrey; Schuberth Florian; Henseler, Jörg (2021). A clarification of Confirmatory Composite Analysis (CCA). International Journal of Information Management, 61, 102399. Link
  • Schuberth, Florian (2021). Confirmatory composite analysis using partial least squares: Setting the record straight. Review of Managerial Science, 15(5), 1311-1345. Link
  • Okazaki, Shintaro; Schuberth, Florian; Tagashira, Takumi; Guimaraes Andrade, Victoria (2021). Sneaking the dark side of brand engagement into Instagram: The dual theory of passion. Journal of Business Research, 130, 493-505. Link
  • Henseler, Jörg; Schuberth, Florian (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147-156. Link
  • Schuberth, Florian; Rademaker, Manuel E.; Henseler, Jörg (2020). Estimating and assessing second-order constructs using
    PLS-PM: the case of composites of composites. Industrial Management & Data Systems, 120(12), 2211-2241. accepted version, Link
  • Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2020). Robust partial least squares path modeling. Behaviormetrika, 47, 307-334. Link
  • Benitez, José; Henseler, Jörg; Castillo, Ana;  Schuberth, Florian (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management, 57(2), 103168. Link
  • Rasoolimanesh, Mostafa S.; Noor, Shuhaida Md; Schuberth, Florian; Jaafar, Mastura (2019). Investigating the Effects of Tourist Engagement on Satisfaction and Loyalty. The Service Industries Journal, 39 (7-8), 559-574. Link
  • Rademaker, Manuel E.; Schuberth, Florian; Dijkstra, Theo K. (2019). Measurement error correlation within blocks of indicators in consistent partial least squares: Issues and remedies. Internet Research, 29(3), 448-463. Link
  • Klesel, Michael; Schuberth, Florian; Henseler, Jörg; Niehaves, Björn (2019). A test for multigroup comparison in partial least squares path modeling. Internet Research, 29(3), 464-477. Link
  • Salazar-Ordóñez, Melania; Schuberth, Florian; Cabrera, Elena; Arriaza, Manuel; Rodríguez-Entrena, Macario (2018). The effects of person-related and environmental factors on consumers‘ decision-making in agri-food markets: the case of olive oils. Food Research International, 112, 412-424. Link
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018). Confirmatory Composite Analysis. Frontiers in Psychology, 9(2541). Link
  • Müller, Tobias; Schuberth, Florian; Henseler, Jörg (2018). PLS path modeling – a confirmatory approach to study tourism technology and tourist behavior. Journal of Hospitality and Tourism Technology, 9(3), 249-266. Link
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018). Partial least path modeling using ordinal categorical indicators. Quality & Quantity, 52(1), 9-35. Link
  • Rodríguez-Entrena, Macario; Schuberth, Florian; Gelhard, Carsten (2018). Assessing statistical di fferences between parameter estimates in Partial Least Squares path modeling. Quality & Quantity, 52(1), 57-69. Link

Book Chapters

  • 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, pp. 96-115. Link
  • 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. Link
  • 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. Link

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. PDF

Conference Presentations

  • 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

  • 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, Talk

Software Devlopment