prof.dr.ir. J. Henseler (Jörg)

Full Professor, Chair of Product–Market Relations

About Me

Prof. dr. ir. Jörg Henseler holds the Chair of Product–Market Relations, embedded in the Department of Design, Production & Management at the Faculty of Engineering Technology of the University of Twente, Enschede, The Netherlands. Moreover, Jörg Henseler is Visiting Professor at NOVA Information Management School, Universidade Nova de Lisboa, Portugal, and Distinguished Invited Professor in the Department of Business Administration and Marketing at the University of Seville, Spain. His broad-ranging research interests encompass empirical methods of marketing and design research as well as the management of design, products, services, and brands. His outstanding teaching performance has earned him repeated recognition as "Teacher of the Year" according to Master’s in Business Administration students. He has written more than 90 journal publications and authored the book "Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables" published by Guilford Press, New York. Moreover, he has repeatedly been listed as a "Highly Cited Researcher" by Clarivate/Web of Science (see the news report). 

Henseler, Jörg (2020, in print). Composite-based structural equation modeling: Analyzing latent and emergent variables, New York: Guilford Press.

On a regular basis, Prof. Henseler provides seminars on PLS path modeling at the PLS School, through which hundreds of scholars and practitioners have been trained in structural equation modeling. Prof. Henseler contributes to the scientific community and serves as a reviewer for several scholarly journals.

For more info about Jörg Henseler on the 'Featured Scientists' page, click below:


Partial Least Squares
Partial Least Squares
Composite Materials
Structural Equation Modeling

Ancillary Activities

  • Universidade Nova de Lisboa
    Visiting Professor
  • Universidad de Sevilla
    Distinguished Invited Professor
  • PLS School
  • Corvinus University Budapest
    Consulting Professor


Prof. dr. ir. Henseler is a leading expert on partial least squares (PLS) path modeling, a variance-based structural equation modeling technique that is particularly useful in studies focused on the success factors for businesses. He has written several academic articles, edited two books, and chaired two conferences on PLS (see below the full list of publications). 

Prof. dr. ir. Henseler aims at bridging behavioral and design science. His scientific work encompasses both discoveries (as a result of behavioral science) and inventions (as a result of design science).

Selected discoveries:

Selected inventions:

  • Confirmatory composite analysis (CCA; invented together with Theo K. Dijkstra and Florian Schuberth) is a multivariate statistical technique to estimate and assess composite models. CCA is implemented in the composite-based structural equation modeling software ADANCO and the R package csem.
  • The heterotrait-monotrait ratio of correlations (HTMT; invented together with Christian Ringle and Marko Sarstedt) is a means to assess the discriminant validity of latent variables without conducting a factor analysis. The HTMT is implemented as a web-based calculator, in the composite-based structural equation modeling software ADANCO, and in the R package csem.  

A popular guest speaker, Prof. Dr. Henseler has been invited by universities around the world, including Beijing University of Aeronautics and Astronautics (China), Freie Universität Berlin, University of Cologne, University of Duisburg, University of Hamburg, University of Kaiserslautern, University of Paderborn (all Germany), Corvinus University Budapest (Hungary), Universidad Iberoamericana (Mexico), VU University Amsterdam, University of Groningen (both The Netherlands), University of Coimbra, Universidade Nova de Lisboa (both Portugal), University of Ljubljana (Slovenia), Universidad de Sevilla (Spain), Université de Fribourg (Switzerland), The University of Manchester, Warwick Business School (both UK), and Georgia State University in Atlanta (USA)-to speak to students, faculty, and professionals about structural equation modeling.


Sahhar, Y. , Loohuis, R. , & Henseler, J. (2021). Illuminating Experience’s Inception and Evolvement: An Autohermeneutic Phenomenological Inquiry. In E. Gummesson, C. Mele, & F. Polese (Eds.), The 2021 Naples Forum on Service: A Service Lens on Changing Business and Society
Klesel, M. , Schuberth, F., Niehaves, B. , & Henseler, J. (Accepted/In press). Multigroup analysis in information systems research using PLS-PM: A systematic investigation of approaches. Data Base for Advances in Information Systems.
Schuberth, F. , Müller, T. , & Henseler, J. (2021). Which equations? An inquiry into the equations in partial least squares structural equation modeling. In I. Kemény, & Z. Kun (Eds.), New Perspectives in Serving Customers, Patients, and Organizations: A Festschrift for Judit Simon (pp. 96-115). Corvinus University of Budapest. http://unipub.lib.uni-corvinus.hu/6625/1/tiszteletkotet_simon_judit_kemeny_i_kun_zsuzsanna_new_perspectives_in_serving_customers.pdf#page=96
Henseler, J., Guerreiro, M., & de Matos, N. (2021). The interplay of marketing and design. Review of managerial science, 15(5), 1129-1137. https://doi.org/10.1007/s11846-021-00470-z
Schamberger, T. , Schuberth, F. , & Henseler, J. (2021). Maximum Likelihood Estimator For Composite Models. Abstract from Meeting of the Working Group Structural Equation Modeling (SEM), .
Somers, C. E., Stockstrom, C. , & Henseler, J. (2021). Emerging interstices in communities of innovation. Creativity and innovation management, 30(2), 233-247. https://doi.org/10.1111/caim.12430
Henseler, J. , & Schuberth, F. (2020). Auxiliary theories. In J. Henseler (Ed.), Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables (pp. 25-37). (Methodology in the Social Sciences Series). Guilford Press.
Henseler, J. , & Schuberth, F. (2020). Confirmatory composite analysis. In J. Henseler (Ed.), Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables (pp. 180-202). (Methodology in the Social Sciences Series). Guilford Press.
Kamran, Q. , van Dijk, J., Topp, S. , & Henseler, J. (2020). The Evolving New Topology of Marketing From A Design Weltanschauung. In S. Blanchard (Ed.), AMA Summer Academic Conference Bridging Gaps: Marketing in an Age of Disruption August 18-20, 2020 (Vol. 31, pp. 997-1012). American Marketing Association.
Klesel, M. , & Henseler, J. (2020). Emergence in Design Science Research. In J. Radtke, M. Klesel, & B. Niehaves (Eds.), New Perspectives on Digitalization: Local Issues and Global Impact. Proceedings on Digitalization at the Institute for Advanced Study of the University of Siegen (pp. 117-125). Universitätsverlag Siegen. https://doi.org/10.25819/ubsi/1894
Henseler, J., & Guerreiro, M. (2020). Design and marketing: Intersections and challenges. Creativity and innovation management, 29(S1), 3-10.
Graesch, J. P., Hensel-Börner, S. , & Henseler, J. (2020). Information technology and marketing: An important partnership for decades. Industrial management & data systems. https://doi.org/10.1108/IMDS-08-2020-0510

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Visiting Address

University of Twente
Faculty of Engineering Technology
Horst Complex (building no. 20), room W244
De Horst 2
7522LW  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Engineering Technology
Horst Complex  W244
P.O. Box 217
7500 AE Enschede
The Netherlands

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