Scientific Publications and Presentations

Articles in Refereed Journals

  • Schuberth, Florian; Schamberger, Tamara; Rönkkö, Mikko; Yide Liu; Henseler, Jörg (accepted). Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023). British Journal of Mathematical and Statistical Psychology. Supplementary Material
  • Yu, Xi; Schuberth, Florian; Henseler, Jörg (accepted). Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification. Statistical Analysis and Data Mining. https://doi.org/10.1002/sam.11608.
  • Schuberth, Florian; Rosseel, Yves; Rönkkö Mikko; Trinchera, Laura; Kline, Rex B.; Henseler, Jörg (accepted). Structural parameters under partial least squares and covariance-based structural equation modeling: A comment on Yuan and Deng (2021). Structural Equation Modeling: A Multidisciplinary Journal, https://doi.org/10.1080/10705511.2022.2134140.
  • Müller, Tobias; Schuberth, Florian; Bergsiek, Micha; Henseler, Jörg (accepted). How can the transition from office to telework be managed? The impact of tasks and workplace suitability on collaboration and work performance. Frontiers in Psychology, https://doi.org/10.3389/fpsyg.2022.987530.
  • Schuberth, Florian; Zaza, Sam; Henseler, Jörg (accepted). Partial least squares is an estimator for structural equation models: A comment on Evermann and Rönkkö (2021). Communications of the Association for Information Systems.
  • Henseler, Jörg; Schuberth, Florian (accepted). Partial least squares as a tool for scientific inquiry: Comments on Cadogan and Lee. European Journal of Marketing, https://doi.org/10.1108/EJM-06-2021-0416.
  • Schuberth, Florian; Rademaker, Manuel; Henseler, Jörg (accepted). Assessing the overall fit of composite models estimated by partial least squares path modeling. European Journal of Marketing, https://doi.org/10.1108/EJM-08-2020-0586
  • Schuberth, Florian (accepted). The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial. Psychological Methods, https://doi.org/10.1037/met0000432; Supplementary Material
  • Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg (2023). Confirmatory composite analysis in human development research. International Journal of Behavioral Development, 47(1), 89-100, https://doi.org/10.1177/01650254221117506
  • Abbas, Yawar; Martinetti, Alberto; Rajabalinejad, Mohammad; Schuberth, Florian; van Dongen, Leonardus Adriana Maria (2022). Facilitating digital collaboration through knowledge management: A case study. Knowledge Management Research & Practice, 20(6), 797-813, https://doi.org/10.1080/14778238.2022.2029597
  • Liu, Yuqing; Schuberth, Florian; Yide, Liu; Henseler, Jörg (2022). Modeling and assessing forged concepts in tourism and hospitality using confirmatory composite analysis. Journal of Business Research, 152, 221-230, https://doi.org/10.1016/j.jbusres.2022.07.040.
  • Klesel, Michael; Schuberth, Florian; Niehaves, Bjoern; Henseler, Jörg (2022). Multigroup analysis in information systems research using PLS-PM: A systematic investigation of approaches. The DATA BASE for Advances in Information Systems, 53(3), 26-48, https://doi.org/10.1145/3551783.3551787.
  • Yu, Xi; Zaza, Sam; Schuberth, Florian; Henseler, Jörg (2021). Counterpoint: Representing forged concepts as emergent variables using composite-based structural equation modeling. The DATA BASE for Advances in Information Systems, 52(SI), 114-130, https://doi.org/10.1145/3505639.3505647
  • 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, https://doi.org/10.1108/IMDS-02-2021-0082
  • Hubona, Geoffrey; Schuberth Florian; Henseler, Jörg (2021). A clarification of Confirmatory Composite Analysis (CCA). International Journal of Information Management, 61, 102399, https://doi.org/10.1016/j.ijinfomgt.2021.102399 (among the top 10 articles receiving social media attention in 2021 out of all papers published in the history of IJIM)
  • Schuberth, Florian (2021). Confirmatory composite analysis using partial least squares: Setting the record straight. Review of Managerial Science, 15(5), 1311-1345, https://doi.org/10.1007/s11846-020-00405-0
  • 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, https://doi.org/10.1016/j.jbusres.2019.11.028
  • Henseler, Jörg; Schuberth, Florian (2020). Using confirmatory composite analysis to assess emergent variables in business research. Journal of Business Research, 120, 147-156, https://doi.org/10.1016/j.jbusres.2020.07.026
  • 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, https://doi.org/10.1108/IMDS-12-2019-0642. accepted version
  • Schamberger, Tamara; Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2020). Robust partial least squares path modeling. Behaviormetrika, 47, 307-334, https://doi.org/10.1007/s41237-019-00088-2
  • 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, https://doi.org/10.1016/j.im.2019.05.003
  • 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, https://doi.org/10.1080/02642069.2019.1570152
  • 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, https://doi.org/10.1108/IntR-12-2017-0525
  • 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, https://doi.org/10.1108/IntR-11-2017-0418
  • 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, https://doi.org/10.1016/j.foodres.2018.06.031
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018). Confirmatory Composite Analysis. Frontiers in Psychology, 9(2541), https://doi.org/10.3389/fpsyg.2018.02541
  • 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, https://doi.org/10.1108/JHTT-09-2017-0106
  • Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018). Partial least path modeling using ordinal categorical indicators. Quality & Quantity, 52(1), 9-35, https://doi.org/10.1007/s11135-016-0401-7
  • Rodríguez-Entrena, Macario; Schuberth, Florian; Gelhard, Carsten (2018). Assessing statistical differences between parameter estimates in Partial Least Squares path modeling. Quality & Quantity, 52(1), 57-69, https://doi.org/10.1007/s11135-016-0400-8

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

  • 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

  • Schuberth, Florian (2022). Partial least squares path modeling – Developments and experiences, Research Seminar (Host: Yves Rosseel) University of Ghent, Germany, 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