Scientific Publications and Presentations

Articles in Refereed Journals

  • Okazaki, Shintaro; Schuberth, Florian; Tagashira, Takumi; Guimaraes Andrade, Victoria (accepted). Sneaking the dark side of brand engagement into Instagram: The dual theory of passion. Journal of Business Research. Link
  • Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (forthcoming). Robust partial least squares path modeling. Behaviormetrika. Link
  • Benitez, José; Henseler, Jörg; Castillo, Ana;  Schuberth, Florian (forthcoming). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information & Management. 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; 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

  • 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. 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 (2017). Composite-based Methods in Structural Equation Modeling.

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

  • 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; 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; 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