Jörg Henseler
Jörg Henseler
Professor, University of Twente, Enschede, NL; and NOVA IMS, Universidade Nova de Lisboa, PT
Verified email at - Homepage
Cited by
Cited by
A new criterion for assessing discriminant validity in variance-based structural equation modeling
J Henseler, CM Ringle, M Sarstedt
Journal of the Academy of Marketing Science 43 (1), 115-135, 2015
The use of partial least squares path modeling in international marketing
J Henseler, CM Ringle, RR Sinkovics
Advances in International Marketing 20 (1), 277-319, 2009
Using PLS path modeling in new technology research: updated guidelines
J Henseler, G Hubona, PA Ray
Industrial Management & Data Systems 116 (1), 2-20, 2016
Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013)
J Henseler, TK Dijkstra, M Sarstedt, CM Ringle, A Diamantopoulos, ...
Organizational Research Methods 17 (2), 182-209, 2014
An empirical comparison of the efficacy of covariance-based and variance-based SEM
W Reinartz, M Haenlein, J Henseler
International Journal of Research in Marketing 26 (4), 332-344, 2009
Handbook of partial least squares: Concepts, methods and applications
V Esposito Vinzi, WW Chin, J Henseler, H Wang
Heidelberg, Dordrecht, London, New York: Springer, 2010
Consistent partial least squares path modeling
TK Dijkstra, J Henseler
MIS Quarterly 39 (2), 297-316, 2015
Testing measurement invariance of composites using partial least squares
J Henseler, CM Ringle, M Sarstedt
International Marketing Review 33 (3), 405-431, 2016
Goodness-of-fit indices for partial least squares path modeling
J Henseler, M Sarstedt
Computational Statistics 28 (2), 565-580, 2013
Testing moderating effects in PLS path models: An illustration of available procedures
J Henseler, G Fassott
Handbook of Partial Least Squares: Concepts, Methods and Applications (Eds …, 2010
Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results
M Sarstedt, J Henseler, CM Ringle
Advances in International Marketing 22 (1), 195-218, 2011
A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling
J Henseler, WW Chin
Structural Equation Modeling: A Multidisciplinary Journal 17 (1), 82-109, 2010
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research
J Benitez, J Henseler, A Castillo, F Schuberth
Information & Management 57 (2), 103168, 2020
Consistent and asymptotically normal PLS-estimators for linear structural equations
TK Dijkstra, J Henseler
Computational Statistics & Data Analysis 81 (1), 10-23, 2015
Bridging design and behavioral research with variance-based structural equation modeling
J Henseler
Journal of Advertising 46 (1), 178-192, 2017
Using partial least squares path modeling in advertising research: basic concepts and recent issues
J Henseler, CM Ringle, M Sarstedt
Handbook of Research on International Advertising (Shintaro Okazaki, Ed …, 2012
On the emancipation of PLS-SEM: A commentary on Rigdon (2012)
M Sarstedt, CM Ringle, J Henseler, JF Hair
Long Range Planning 47 (3), 154-160, 2014
Creating customer loyalty through service customization
PS Coelho, J Henseler
European Journal of Marketing 46 (3/4), 331-356, 2012
Partial least squares path modeling
J Henseler
Advanced Methods for Modeling Markets, 361-381, 2017
On the convergence of the partial least squares path modeling algorithm
J Henseler
Computational Statistics 25 (1), 107-120, 2010
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