Articles in Refereed Journals

• Schuberth, Florian; Schamberger, Tamara; Kemény, Ildikó; Henseler, Jörg (accepted). The sum score model: Specifying and testing equally weighted composites using structural equation modeling. Psychometrika. Supplementary matrial
• Bogaert, Jasper; Loh, Wen Wei; Schuberth Florian; Rosseel, Yves (accepted). The effect of measurement error on hypothesis testing in small sample structural equation modeling: A comparison of various estimation approaches. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705511.2024.2398759 The Effect of Measurement Error on Hypothesis Testing in Small Sample Structural Equation Modeling: A Comparison of Various Estimation Approaches
• Henseler, Jörg; Schuberth, Florian (accepted). Should PLS become factor-based or should CB-SEM become composite-based? Both! European Journal of Information Systems. https://doi.org/10.1080/0960085X.2024.2357123Should PLS become factor-based or should CB-SEM become composite-based? Both!
• Henseler, Jörg; Schuberth, Florian; Lee, Nick; Kemény, Ildikó (accepted). Why researchers should be cautious about using PLS-SEM. Industrial Marketing Management.
• Schuberth, Florian; Schamberger, Tamara; Henseler, Jörg (2024). More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites. Behavior Research Methods, 56, 4205–4215.https://doi.org/10.3758/s13428-023-02256-5More powerful parameter tests? No, rather biased parameter estimates. Some reflections on path analysis with weighted composites
• Alamer, Abdullah; Schuberth, Florian; Henseler, Jörg (2024). When and how to use confirmatory composite analysis in second language research. Studies in Second Language Acquisition 46(2), 597-616 . https://doi.org/10.1017/S0272263124000020 When and how to use confirmatory composite analysis (CCA) in second language research
• Müller, Tobias; Schuberth, Florian; Henseler, Jörg (2024). Categorizing Behavioral and Formed Concepts in Sports Marketing Research. International Journal of Sports Marketing and Sponsorship 25(2), 310-329. https://doi.org/10.1108/IJSMS-10-2022-0188Categorizing behavioral and formed concepts in sports marketing research
• Castillo, Ana; Ruiz, Laura; Benitez, José; Schuberth, Florian; Reina, Rafael (2023). IT impact on open innovation performance: Insights from a large-scale empirical investigation. Decision Support Systems, 175(114025), 1-9. https://doi.org/10.1016/j.dss.2023.114025IT impact on open innovation performance: Insights from a large-scale empirical investigation
• Benitez-Avila, Camilo Andres; Schuberth, Florian; Copeland, Samantha (2023). Mastery and social position – factors in negotiating urban social resilience. Humanities and Social Sciences Communications, 10(1), 1-13. https://doi.org/10.1057/s41599-023-02217-5Mastery and social position: factors in negotiating urban social resilience
• Schuberth, Florian; Schamberger, Tamara; Rönkkö, Mikko; Yide Liu; Henseler, Jörg (2023). 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, 76(3), 682-694. https://doi.org/10.1111/bmsp.12304; Supplementary MaterialPremature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)
• Schuberth, Florian (2023). The Henseler-Ogasawara specification of composites in structural equation modeling: A tutorial. Psychological Methods, 28(4), 843-859. https://doi.org/10.1037/met0000432; Supplementary Material Quantitude Podcast EpisodeThe Henseler-Ogasawara Specification of Composites in Structural Equation Modeling: A Tutorial
• Yu, Xi; Schuberth, Florian; Henseler, Jörg (2023). Specifying composites in structural equation modeling: A refinement of the Henseler-Ogasawara specification. Statistical Analysis and Data Mining, 16(4), 348-357. https://doi.org/10.1002/sam.11608Specifying composites in structural equation modeling: A refinement of the Henseler–Ogasawara specification
• Schuberth, Florian; Zaza, Sam; Henseler, Jörg (2023). Partial least squares is an estimator for structural equation models: A comment on Evermann and Rönkkö (2021). Communications of the Association for Information Systems, 52, 711-714. https://doi.org/10.17705/1CAIS.05232Partial Least Squares is an Estimator for Structural Equation Models: A Comment on Evermann and Rönkkö (2021)
• Schuberth, Florian; Hubona, Geoffrey; Roemer, Ellen; Zaza, Sam; Schamberger, Tamara; Chuah, Francis; Cepeda-Carrión, Gabriel; Henseler, Jörg (2023). The choice of structural equation modeling technique matters: A commentary on Dash and Paul (2021). Technological Forecasting & Social Change, 194, 122665. https://doi.org/10.1016/j.techfore.2023.122665 Supplementary MaterialThe choice of structural equation modeling technique matters: A commentary on Dash and Paul (2021)
• Henseler, Jörg; Schuberth, Florian (2023). Partial least squares as a tool for scientific inquiry: Comments on Cadogan and Lee. European Journal of Marketing, 57(6), 1737-1757. https://doi.org/10.1108/EJM-06-2021-0416Partial least squares as a tool for scientific inquiry: comments on Cadogan and Lee
• Schuberth, Florian; Rademaker, Manuel; Henseler, Jörg (2023). Assessing the overall fit of composite models estimated by partial least squares path modeling. European Journal of Marketing, 57(6), 1678-1702. https://doi.org/10.1108/EJM-08-2020-0586 Assessing the overall fit of composite models estimated by partial least squares path modeling
• Schuberth, Florian; Rosseel, Yves; Rönkkö Mikko; Trinchera, Laura; Kline, Rex B.; Henseler, Jörg (2023). 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, 30(3), 339-345. https://doi.org/10.1080/10705511.2022.2134140Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling: A Comment on Yuan and Deng (2021)
• 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/10.1177/01650254221117506Confirmatory composite analysis in human development research
• Müller, Tobias; Schuberth, Florian; Bergsiek, Micha; Henseler, Jörg (2022). 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, 13:987530. https://doi.org/10.3389/fpsyg.2022.987530How can the transition from office to telework be managed? The impact of tasks and workplace suitability on collaboration and work performance
• 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/10.1080/14778238.2022.2029597Facilitating digital collaboration through knowledge management: a case study
• 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.2022.07.040Modeling and assessing forged concepts in tourism and hospitality using confirmatory composite analysis
• 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 Multigroup Analysis in Information Systems Research using PLS-PM
• 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/10.1145/3505639.3505647Counterpoint
• 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-02-2021-0082HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling
• 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) A clarification of confirmatory composite analysis (CCA)
• 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/s11846-020-00405-0Confirmatory composite analysis using partial least squares: setting the record straight
• 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.2019.11.028Sneaking the dark side of brand engagement into Instagram: The dual theory of passion
• 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.2020.07.026Using confirmatory composite analysis to assess emergent variables in business research
• 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 versionEstimating and assessing second-order constructs using PLS-PM: the case of composites of composites
• 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/s41237-019-00088-2Robust partial least squares path modeling
• 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.2019.05.003How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
• 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/10.1080/02642069.2019.1570152Investigating the effects of tourist engagement on satisfaction and loyalty
• 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-12-2017-0525Measurement error correlation within blocks of indicators in consistent partial least squares: Issues and remedies
• 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-11-2017-0418A test for multigroup comparison using partial least squares path modeling
• 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.2018.06.031The effects of person-related and environmental factors on consumers' decision-making in agri-food markets: The case of olive oils
• Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018). Confirmatory Composite Analysis. Frontiers in Psychology, 9(2541). https://doi.org/10.3389/fpsyg.2018.02541Confirmatory composite analysis
• 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-09-2017-0106PLS path modeling – a confirmatory approach to study tourism technology and tourist behavior
• 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/s11135-016-0401-7Partial least squares path modeling using ordinal categorical indicators
• 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/s11135-016-0400-8Assessing statistical differences between parameters estimates in Partial Least Squares path modeling

Book Chapters

• Schamberger, Tamara; Cantaluppi, Gabriele; Schuberth, Florian (2023). 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_6 Supplementary MaterialRevisiting 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. Slides
• 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. Slides
• 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. Slides
• 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. Slides
• 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. Slides
• 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. Slides
• 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. Slides

Invited Talks

• Schuberth, Florian (2024). Partial least suqares path modeling & the Henseler-Ogasawara specification as an alternative, Research Seminar (Host: Hans Fehr), University of Würzburg, Würzburg, Germany, June, 25.
• Schuberth, Florian (2024). A novel approach to specifying and testing formative constructs in structural equation modeling, Research Seminar (Host: Laura Trinchera), NEOMA Business School, Rouen, France, April, 25.
• 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. Video Slides
• Schuberth, Florian (2020). Confirmatory composite analysis: What is it & how is it applied? YouTube webinar (Host: Faizan Ali) online, October 9. Video, Slides.
• Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2019). Confirmatory Composite Analysis, Research Seminar (Host: Giorgio Russolillo), CNAM, France, June 18. Slides
• 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. Slides
• Schuberth, Florian; Henseler, Jörg; Dijkstra, Theo K. (2018). Confirmatory Composite Analysis, Research Seminar (Host: Marko Sarstedt), University of Magdeburg, Germany, November 1. Slides

Workshops

• Composite Models in Mplus, On-demand course for Quantfish platform, online.
• Partial Least Squares Path Modeling, Budapest, Hungary, 18.04/19.04.2023.
• Partial Least Squares Path Modeling, Pecs, Hungary, 17.04.2023.
• PLS-SEM using ADANCO and cSEM, Macao, China (online), 6-days workshop 14.02-07.03.2022.
• New Developments in PLS Path Modeling: Advanced Course, Enschede, The Netherlands, 06/07.02.2020.
• Partial Least Squares Path Modeling: Introduction and Application, Enschede, The Netherlands, 12/13.12.2019.

Software Development

• Rademaker, Manuel E.; Schuberth, Florian cSEM (2020) Composite-based structural equation modeling. R package version 0.5.0. https://CRAN.R-project.org/package=cSEM.