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Social Sciences and Humanities

D-Index
65
Citations
97477
World Ranking
997
National Ranking
44

Overview

Jörg Henseler is affiliated with the University of Twente in the Netherlands and has made significant contributions primarily in the field of Business, Management, and Accounting. Their research covers several subfields including Marketing, Organizational Behavior and Human Resource Management, Sociology and Political Science, Management Science and Operations Research, and Information Systems and Management.

Henseler's work addresses multiple topics, with notable focus on Consumer Behavior in Brand Consumption and Identification, Customer Service Quality and Loyalty, Technology Adoption and User Behaviour, Digital Marketing and Social Media, Consumer Retail Behavior Studies, Service and Product Innovation, and Psychometric Methodologies and Testing.

Some of the recent papers authored or co-authored by Henseler include:

  • Using confirmatory composite analysis to assess emergent variables in business research (2020), Journal of Business Research
  • HTMT2-an improved criterion for assessing discriminant validity in structural equation modeling (2021), Industrial Management & Data Systems
  • Assessing the overall fit of composite models estimated by partial least squares path modeling (2022), European Journal of Marketing
  • A clarification of confirmatory composite analysis (CCA) (2021), International Journal of Information Management
  • Estimating and assessing second-order constructs using PLS-PM: the case of composites of composites (2020), Industrial Management & Data Systems

Frequent co-authors working with Henseler include Florian Schuberth, Susanne Hensel-Börner, Tamara Schamberger, Ellen Roemer, and Jan Philipp Graesch.

Their research has been published in several venues repeatedly, particularly in Frontiers in Psychology, Journal of Brand Management, Industrial Management & Data Systems, Journal of Business Research, and European Journal of Marketing.

In addition to journal articles, Henseler has contributed to book publications, including a title published by the Royal Netherlands Academy of Arts and Sciences called Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables (2020).

Best Publications

  • A new criterion for assessing discriminant validity in variance-based structural equation modeling

    Joerg Henseler;Christian M. Ringle;Marko Sarstedt;Marko Sarstedt

  • The use of partial least squares path modeling in international marketing

    Jörg Henseler;Christian M. Ringle;Rudolf R. Sinkovics

  • Using PLS path modeling in new technology research: updated guidelines

    Jörg Henseler;Geoffrey S. Hubona;Pauline Ash Ray

  • An empirical comparison of the efficacy of covariance-based and variance-based SEM

    Werner Reinartz;Werner Reinartz;Michael Haenlein;Jörg Henseler

  • Common Beliefs and Reality About PLS: Comments on Rönkkö and Evermann (2013)

    Joerg Henseler;Joerg Henseler;Theo K. Dijkstra;Marko Sarstedt;Marko Sarstedt;Christian M. Ringle;Christian M. Ringle

  • Consistent partial least squares path modeling

    Theo K. Dijkstra;Jörg Henseler

  • Testing measurement invariance of composites using partial least squares

    Jörg Henseler;Christian M. Ringle;Marko Sarstedt

  • Handbook of Partial Least Squares

    Vincenzo Esposito Vinzi;Wynne W Chin;Jörg Henseler;Huiwen Wang

  • Goodness-of-fit indices for partial least squares path modeling

    Jörg Henseler;Marko Sarstedt

  • How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research

    Jose Benitez;Jose Benitez;Jörg Henseler;Jörg Henseler;Ana Castillo;Florian Schuberth

  • Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results

    Marko Sarstedt;Jörg Henseler;Christian M. Ringle

  • A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling

    Jörg Henseler;Wynne W. Chin

  • Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures

    Jörg Henseler;Georg Fassott;Vincenzo Esposito Vinzi;Wynne W. Chin

  • Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures

    Jörg Henseler;Georg Fassott

  • Consistent and asymptotically normal PLS estimators for linear structural equations

    Theo K. Dijkstra;Jörg Henseler

  • Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling

    Jörg Henseler

  • On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)

    Marko Sarstedt;Christian M. Ringle;Jörg Henseler;Joseph F. Hair

  • Using Partial Least Squares Path Modeling in Advertising Research: Basic Concepts and Recent Issues

    Jörg Henseler;Christian M. Ringle;Marko Sarstedt

  • Creating customer loyalty through service customization

    Pedro S. Coelho;Jörg Henseler

  • On the convergence of the partial least squares path modeling algorithm

    Jörg Henseler

Frequent Co-Authors

Wynne W. Chin
Wynne W. Chin University of Houston
José L. Roldán
José L. Roldán University of Seville
Johannes G. Ramaekers
Johannes G. Ramaekers Maastricht University

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