Jörg Henseler

Prof. Dr. Jörg Henseler is Full Professor and Chair of Product–Market Relations at the Department of Design, Production and Management, Faculty of Engineering Technology, University of Twente, Netherlands. He also holds visiting positions at NOVA Information Management School, Universidade Nova de Lisboa, Portugal, and as Distinguished Invited Professor at the University of Seville, Spain.

• University: University of Twente
• School: Faculty of Engineering Technology
• Department: Department of Design, Production and Management
• Chair: Product–Market Relations
• Visiting Professor: NOVA Information Management School, Portugal
• Distinguished Invited Professor: University of Seville, Spain

His research focuses on composite-based structural equation modeling (SEM), particularly partial least squares (PLS) path modeling, emergent variables, and methodological innovations in empirical research. He bridges design and behavioral sciences through advanced statistical modeling, with applications in marketing, management, and information systems.

His recent publications emphasize methodological rigor in PLS-SEM, including consistent PLS (PLSc), confirmatory composite analysis (CCA), HTMT for discriminant validity, and second-order modeling. These works highlight trends toward improved model assessment, validity testing, and theoretical integration in composite-based approaches.

• Highly Cited Researcher by Clarivate/Web of Science
• Ranked among the top 100 most influential researchers in the Stanford/Elsevier Top 2% Scientists List 2024
• Repeated 'Teacher of the Year' award recipient

Prof. Henseler contributes extensively to the scientific community as a reviewer, editorial board member, and guest editor. He chairs the scientific advisory board for the ADANCO software and organizes the PLS School, offering seminars on PLS path modeling. He has authored over 130 journal articles and the authoritative book Composite-Based Structural Equation Modeling. His work supports researchers in applying robust, theory-driven methods in empirical studies.

He leads methodological innovation in composite-based modeling, with strong ties to software development and global academic outreach. His research group and collaborations focus on advancing SEM techniques for complex, real-world applications in business and engineering contexts.