Scholar
Jörg Henseler
Google Scholar ID: YiLHdRMAAAAJ
Professor, University of Twente, Enschede, NL; and NOVA IMS, Universidade Nova de Lisboa, PT
Citations & Impact
Citations
93,774
H-index
64
i10-index
124
Publications
20
Co-authors
150
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Repeatedly listed as a 'Highly Cited Researcher' by Clarivate/Web of Science
- Multiple 'Teacher of the Year' awards from Master’s in Marketing students
- Author of the book 'Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables' (Guilford Press)
- Published dozens of scholarly articles and edited two books on PLS
- Inventor or co-inventor of several methodological innovations, including:
- - Henseler-Ogasawara specification for composites using synthetic variables (emergent and excrescent variables)
- - Confirmatory composite analysis (CCA) for assessing composite models
- - Consistent PLS (PLSc) for consistent estimation of reflective measurement models
- - Dijkstra and Henseler's rho (ρ_A), a consistent reliability measure for PLS construct scores
- - Heterotrait-monotrait ratio (HTMT) and its improved version HTMT2 for discriminant validity assessment
- - Championed the concept of 'emergence', arguing that the whole is more/different than the sum of its parts, promoting emergent variables as alternatives to latent variables
Background
- Holds the Chair of Product–Market Relations at the Faculty of Engineering Technology, University of Twente, Netherlands
- Visiting Professor at NOVA Information Management School, Universidade Nova de Lisboa, Portugal
- Distinguished Invited Professor in the Department of Business Administration and Marketing, University of Seville, Spain
- Previously affiliated with Radboud University Nijmegen (Netherlands), University of Cologne (Germany), and University of Kaiserslautern (Germany)
- Research interests include empirical methods in marketing and design research, and the management of design, products, services, and brands
- Aims to bridge design and behavioral research through composite-based structural equation modeling
