Christian M. Ringle

Hamburg University of Technology (TUHH)

Professor of Management

Schwarzenbergstr. 95 (D)

Hamburg, D-21071

Germany

http://www.tuhh.de/hrmo

Waikato Management School

Te Raupapa

Private Bag 3105

Hamilton, 3240

New Zealand

SCHOLARLY PAPERS

76

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220

Scholarly Papers (76)

1.

Editorial - Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance

Long Range Planning, Volume 46, Issues 1-2, pp. 1-12
Number of pages: 12 Posted: 16 Mar 2013
Joseph F. Hair, Christian M. Ringle and Marko Sarstedt
Kennesaw State University, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg
Downloads 3,589 (2,702)
Citation 2

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strategic management, patial least squares, PLS, path modeling, structural equation modeling, SEM

2.

A Critical Look at the Use of PLS-SEM in MIS Quarterly

MIS Quarterly (MISQ), Volume 36, No. 1, pp. iii-xiv, March 2012
Number of pages: 19 Posted: 17 Nov 2012 Last Revised: 04 Mar 2013
Christian M. Ringle, Marko Sarstedt and Detmar Straub
Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and Georgia State University
Downloads 3,147 (3,401)
Citation 3

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3.

The Use of Partial Least Squares Path Modeling in International Marketing

Advances in International Marketing (AIM), Vol. 20, pp. 277-320, 2009
Number of pages: 43 Posted: 17 Nov 2012 Last Revised: 19 Nov 2012
Jörg Henseler, Christian M. Ringle and Rudolf R Sinkovics
Institute for Management Research, Radboud University Nijmegen, Hamburg University of Technology (TUHH) and The University of Manchester
Downloads 1,043 (20,504)
Citation 3

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Partial Least Squares, Structural equation modeling, LISREL, bootstrap, multi-group analysis

4.

Editorial - Partial Least Squares: The Better Approach to Structural Equation Modeling?

Long Range Planning, Vol. 45, Issues 5-6, pp. 312-319, 2012, DOI: 10.1016/j.lrp.2012.09.011
Number of pages: 8 Posted: 06 Mar 2013
Joseph F. Hair, Christian M. Ringle and Marko Sarstedt
Kennesaw State University, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg
Downloads 883 (26,173)

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partial least squares, PLS, structural equation modeling, SEM, path modeling, strategic management

5.

Uncovering and Treating Unobserved Heterogeneity with Fimix-Pls: Which Model Selection Criterion Provides an Appropriate Number of Segments?

Schmalenbach Business Review, Vol. 63, pp. 34-62, January 2011
Number of pages: 29 Posted: 05 Jul 2011
Otto-von-Guericke-Universität Magdeburg, University of Cologne - Department of Marketing and Brand Management, Hamburg University of Technology (TUHH) and Ludwig Maximilian University of Munich (LMU) - Faculty of Business Administration (Munich School of Management)
Downloads 380 (77,896)
Citation 1

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FIMIX-PLS, finite mixture modeling, model selection, partial least squares (PLS), segmentation, structural equation modeling

6.

In Pursuit of Understanding What Drives Fan Satisfaction

Hamburg University of Technology (TUHH), Management@TUHH Research Paper Series No. 7
Number of pages: 26 Posted: 26 Jul 2012 Last Revised: 04 Feb 2014
Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH), Ludwig Maximilians University of Munich - Munich School of Management and University of Technology Sydney (UTS)
Downloads 363 (82,188)
Citation 1

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sports service, success drivers, fan satisfactions, PLS-SEM, impact-performance matrix analysis

7.

Do We Really Know How to Manage Brand Extension Success?

Hamburg University of Technology (TUHH), Management@TUHH Research Paper Series No. 8, ISSN 2192‐4813
Number of pages: 23 Posted: 08 Sep 2012 Last Revised: 04 Feb 2014
Hamburg University of Technology (TUHH), University of Cologne - Faculty of Management, Economics and Social Sciences, University of Hamburg and Independent
Downloads 251 (122,759)
Citation 1

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Management@TUHH, Brand extensions, success factors, formative measurement, hierarchical component model, PLS-SEM

8.

Segmentation for Path Models and Unobserved Heterogeneity: The Finite Mixture Partial Least Squares Approach

University of Hamburg Research Paper on Marketing and Retailing No. 35
Number of pages: 32 Posted: 11 Apr 2010
Christian M. Ringle
Hamburg University of Technology (TUHH)
Downloads 241 (127,971)
Citation 10

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segmentation, latent variable models, mixture models measurement, customer satisfaction, brand preference

9.

The Use of Partial Least Squares (PLS) to Address Marketing Management Topics

Journal of Marketing Theory and Practice, Volume 19, Issue 2, pp. 135-138, Spring 2011
Number of pages: 4 Posted: 06 Mar 2013
Joseph F. Hair, Christian M. Ringle and Marko Sarstedt
Kennesaw State University, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg
Downloads 218 (141,193)

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partial least squares, PLS, structural equation modeling, SEM, path modeling, marketing

10.

Cultural Hybrid Personalities? Clustering Nations According to the Big Five Personality Traits

Hamburg University of Technology (TUHH) Research Paper No. 009
Number of pages: 26 Posted: 23 Nov 2012
Tina Ladwig, Nicole Richter, Christian M. Ringle and Nicolas Heitger
Hamburg University of Technology, Hamburg University of Technology, Hamburg University of Technology (TUHH) and affiliation not provided to SSRN
Downloads 198 (154,625)

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culture, GLOBE, Hofstede, big five personality traits, cluster analyses, personality cluster, ISSP

11.

On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies

METEOR Research Memoranda (RM/09/014)
Number of pages: 43 Posted: 12 Feb 2014
Christian M. Ringle, Oliver Goetz, Martin Wetzels and Bradley Wilson
Hamburg University of Technology (TUHH), Reutlingen University - ESB Business School, Maastricht School of Business and Economics and RMIT University
Downloads 193 (158,386)
Citation 10

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12.

Monitoring Transmission of Systemic Risk from Shadow Banking to Regulated Banking

28th Australasian Finance and Banking Conference
Number of pages: 30 Posted: 23 Jul 2015 Last Revised: 28 Jul 2016
Necmi K. Avkiran, Christian M. Ringle and Rand Low
University of Queensland - Business School, Hamburg University of Technology (TUHH) and University of Queensland
Downloads 162 (184,704)

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PLS-SEM, structural equation modeling, contagion of systemic risk, shadow banking, regulated banking

13.

Innoage: Innovation and Product Development for Aging Users

Hamburg University of Technology (TUHH), Management@TUHH Research Paper Series No. 6
Number of pages: 50 Posted: 26 Jul 2012 Last Revised: 04 Feb 2014
Technical University Hamburg-Harburg (TUHH), Hamburg University of Technology, Hamburg University of Technology, Hamburg University of Technology, Hamburg University of Technology, Technical University Hamburg-Harburg (TUHH), Technical University Hamburg-Harburg (TUHH), Hamburg University of Technology and Hamburg University of Technology (TUHH)
Downloads 150 (197,119)
Citation 2

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aging societies, innovation, lead markets, diffusion, agent-based simulation, PLS, TAM, UTAUT, lead user, user innovation

14.

Disentangling the Effects of Team Competences, Team Adaptability, and Client Communication on the Performance of Management Consulting Teams

Long Range Planning, Vol. 46, No. 3, pp. 258-286, 2013
Number of pages: 29 Posted: 24 Jan 2014 Last Revised: 24 Dec 2014
Patricia Klarner, Marko Sarstedt, Michael Höck and Christian M. Ringle
Ludwig-Maximilians University Munich, Otto-von-Guericke-Universität Magdeburg, Freiberg University of Mining and Technology and Hamburg University of Technology (TUHH)
Downloads 76 (317,186)

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15.

PLS-SEM: Looking Back and Moving Forward

Long Range Planning, Vol. 47, Issue 3, pp. 132-137, June 2014
Number of pages: 6 Posted: 26 Apr 2014 Last Revised: 24 Dec 2014
Marko Sarstedt, Christian M. Ringle and Joseph F. Hair
Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH) and Kennesaw State University
Downloads 67 (340,057)

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16.

Capturing and Treating Unobserved Heterogeneity by Response Based Segmentation in PLS Path Modeling. A Comparison of Alternative Methods by Computational Experiments

Cergy Pontoise Cedex: ESSEC Research Center, Working Paper No. 07019
Number of pages: 30 Posted: 12 Feb 2014
ESSEC Business School - Information & Decision Sciences Department, Hamburg University of Technology (TUHH), Electricite de France and University of Naples Federico II
Downloads 51 (388,344)
Citation 9

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Partial Least Squares, Path Modeling, Segmentation, FIMIX-PLS, PLSTPM, REBUS-PLS

17.

An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research

The International Journal of Contemporary Hospitality Management, 30 (1), 514-538, 2018, DOI: 10.1108/IJCHM-10-2016-0568
Number of pages: 39 Posted: 03 Mar 2018 Last Revised: 22 Sep 2018
Independent, Universiti Sains Malaysia (USM) - School of Housing, Building and Planning, Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH) and Independent
Downloads 13 (568,440)

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PLS-SEM, Hospitality research, Structural equation modelling (SEM), Partial least squares (PLS)

18.

A Critical Look at the Use of SEM in International Business Research

International Marketing Review, Vol. 33, No. 3, pp. 376-404, 2016
Number of pages: 29 Posted: 13 Jun 2017 Last Revised: 20 Jun 2017
Hamburg University of Technology, The University of Manchester, Hamburg University of Technology (TUHH) and Otto-von-Guericke-University Magdeburg
Downloads 13 (568,440)

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International marketing, International business, Structural equation modelling, Covariance-based SEM, Partial least squares SEM

19.

Urban vs. Rural Destinations: Residents’ Perceptions, Community Participation and Support for Tourism Development

Tourism Management, Vol. 60, pp. 147-158, 2017, DOI: 10.1016/j.tourman.2016.11.019
Number of pages: 38 Posted: 13 Jun 2017 Last Revised: 22 Sep 2018
Universiti Sains Malaysia (USM) - School of Housing, Building and Planning, Hamburg University of Technology (TUHH), Universiti Sains Malaysia (USM) - School of Housing, Building and Planning and Universiti Sains Malaysia (USM) - School of Management
Downloads 13 (568,440)

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Urban destination, Rural destination, Residents' perceptions, Community participation, Support for tourism development, World heritage site (WHS)

Monitoring Transmission of Systemic Risk: Application of Partial Least Squares Structural Equation Modeling in Financial Stress Testing

Journal of Risk, Forthcoming
Posted: 15 Aug 2018
Necmi K. Avkiran, Christian M. Ringle and Rand Low
University of Queensland - Business School, Hamburg University of Technology (TUHH) and University of Queensland

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structural equation modeling, partial least squares, path model, contagion of systemic risk, shadow banking, bank holding companies

21.

Structural Model Robustness Checks in PLS-SEM

Tourism Economics, 2019
Posted: 07 Jun 2019
Marko Sarstedt, Christian M. Ringle and Hiram Ting
Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH) and Universiti Malaysia Sarawak (UNIMAS)

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Endogeneity, FIMIX-PLS, Nonlinear, Partial least squares, PLS-SEM, Robustness checks, Structural equation modeling

22.

Whistleblowing Intentions Among Public Accountants in Indonesia: Testing for the Moderation Effects

Journal of Business Ethics, 152(2), 573-588 (2018)
Posted: 06 Jun 2019
Hengky Latan and Christian M. Ringle
University of Pattimura - Economic and Accounting Department and Hamburg University of Technology (TUHH)

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Whistleblowing, Audit firms, Individual-level antecedents, Perceived organizational support, Team norms, Perceived moral intensity

23.

Methodological Research on Partial Least Squares Structural Equation Modeling (PLS-SEM): An Analysis Based on Social Network Approaches

Internet Research (2019)
Posted: 06 Jun 2019
Marko Sarstedt, Joseph F. Hair and Christian M. Ringle
Otto-von-Guericke-Universität Magdeburg, Kennesaw State University and Hamburg University of Technology (TUHH)

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Structural equation modelling, Social network analysis, Partial least squares, PLS-SEM, Co-authorship networks, Knowledge networks

24.

Rethinking Some of the Rethinking of Partial Least Squares

European Journal of Marketing, 53(4), 2019
Posted: 04 Jun 2019
Joseph F. Hair, Marko Sarstedt and Christian M. Ringle
Kennesaw State University, Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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Guidelines, Partial least squares, PLS-SEM, Structural equation modeling

25.

When to Use and How to Report the Results of PLS-SEM

European Business Review, 31(1), 2-24, 2019
Posted: 04 Jun 2019
Joseph F. Hair, Jeffrey J. Risher, Marko Sarstedt and Christian M. Ringle
Kennesaw State University, East Tennessee State University, Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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Structural equation modeling, Partial least squares, PLS-SEM, Model comparisons, PLSpredict

26.

Convergent Validity Assessment of Formatively Measured Constructs in PLS-SEM: On Using Single-Item versus Multi-Item Measures in Redundancy Analyses

International Journal of Contemporary Hospitality Management, 30(11), 3192-3210
Posted: 04 Jun 2019
Marko Sarstedt, Christian M. Ringle, T. Ramayah and Hiram Ting
Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH), Universiti Sains Malaysia (USM) - School of Management and Universiti Malaysia Sarawak (UNIMAS)

Abstract:

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PLS-SEM, Partial least squares, Structural equation modeling, Convergent validity, Redundancy analysis, Formative measurement models

27.

Exploring the Microfoundations of End-User Interests toward Co-Creating Renewable Energy Technology Innovations

Journal of Cleaner Production, Forthcoming
Posted: 04 Jun 2019
Ulla Saari, Saku Mäkinen and Christian M. Ringle
affiliation not provided to SSRN, Tampere University of Technology - Department of Industrial Management and Hamburg University of Technology (TUHH)

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Co-creation, Innovation, Rewards, Energy, Prosumer, Variance-based structural equation modeling

28.

Partial Least Squares Structural Equation Modeling-Based Discrete Choice Modeling: An Illustration in Modeling Retailer Choice

Business Research, 1-28
Posted: 04 Jun 2019
Kennesaw State University, Hamburg University of Technology (TUHH), Newcastle Business School, University of the German Federal Armed Forces - Universität der Bundeswehr München and Strategic Precision

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Discrete choice modeling, Experiments, Structural equation modeling, Partial least squares, Path modeling

29.

Enhancing Loyalty: When Improving Consumer Satisfaction and Delight Matters

Journal of Business Research, 94, 18-27 (2019)
Posted: 04 Jun 2019
Dennis Ahrholdt, Siggi Gudergan and Christian M. Ringle
HSBA Hamburg School of Business Administration, Newcastle Business School and Hamburg University of Technology (TUHH)

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Delight, Satisfaction, Loyalty, Prior consumption experience, PLS-SEM, Nonlinear effects

30.

The Agony of Choice for Medical Tourists: A Patient Satisfaction Index Model

Journal of Hospitality and Tourism Technology, Forthcoming
Posted: 15 Aug 2018
Jana Rosenbusch, Ida Rosnita Ismail and Christian M. Ringle
Technical University Hamburg-Harburg (TUHH), National University of Malaysia (UKM) and Hamburg University of Technology (TUHH)

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Service Quality, Medical Tourism, Importance-Performance Map, Interaction Quality, Patient Satisfaction Index

31.

Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling

Journal of International Marketing, Forthcoming
Posted: 15 Aug 2018
Michigan State University, Kennesaw State University, HHL Leipzig Graduate School of Management, Otto-von-Guericke-Universität Magdeburg, HHL Leipzig Graduate School of Management and Hamburg University of Technology (TUHH)

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Control Variable, Endogeneity, Gaussian Copula, Instrumental Variable, Omitted Variable, PLS-SEM, Partial Least Squares (PLS), Structural Equation Modeling (SEM)

32.

Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation*Data Treatment

Journal of Applied Structural Equation Modeling, 2(2), 1-21, June 2018
Posted: 15 Aug 2018
Jan-Michael Becker, Christian M. Ringle and Marko Sarstedt
University of Cologne - Department of Marketing and Brand Management, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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Interaction Term, Moderation, Moderator Analysis, Partial Least Squares, Path Modeling, PLS-SEM, PLSc-SEM, Structural Equation Modeling, Unstandardized Data

33.

On Comparing Results from CB-SEM and PLS-SEM: Five Perspectives and Five Recommendations

Marketing ZFP
Posted: 03 Mar 2018
Christian M. Ringle, Edward Rigdon and Marko Sarstedt
Hamburg University of Technology (TUHH), Georgia State University - J. Mack Robinson College of Business and Otto-von-Guericke-Universität Magdeburg

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34.

Partial Least Squares Structural Equation Modeling in HRM Research

The International Journal of Human Resource Management, Forthcoming
Posted: 03 Mar 2018
Christian M. Ringle, Marko Sarstedt, Rebecca Mitchell and Siggi Gudergan
Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg, Independent and Newcastle Business School

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Partial least squares, structural equation modeling, PLS-SEM, HRM, guidelines, review

35.

An Empirical Examination of the Thickness Profile Formation of Twin-Roll-Cast Magnesium Strips

Archives of Civil and Mechanical Engineering, Vol. 18, Issue 1, pp. 227-234, Forthcoming
Posted: 31 Jul 2017
Claudia Kawalla, Michael Höck, Madlen Ullmann and Christian M. Ringle
Technische Universität Bergakademie Freiberg, Freiberg University of Mining and Technology, Technische Universität Bergakademie Freiberg and Hamburg University of Technology (TUHH)

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Twin-Roll Casting Process, Quality Assurance, Thickness Profile, Structural Equation Modeling, Partial Least Squares

36.

Does Speed Really Matter When It Comes to Alliance Performance?

The Polish Journal of Management Studies, Vol. 2, No. 1, pp. 81-105, 2011
Posted: 14 Jun 2017
Michael Höck and Christian M. Ringle
Freiberg University of Mining and Technology and Hamburg University of Technology (TUHH)

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Local Strategic Networks, Small and Midsize Enterprises, Value Continuum, Software Industry, Partial Least Squares-Analysis

37.

The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications

Long Range Planning, Vol. 45, No. 5-6, pp. 320-340, 2012
Posted: 14 Jun 2017
Joseph F. Hair, Marko Sarstedt, Torsten M. Pieper and Christian M. Ringle
Kennesaw State University, Otto-von-Guericke-Universität Magdeburg, Kennesaw State University - Cox Family Enterprise Center and Hamburg University of Technology (TUHH)

Abstract:

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PLS-SEM, Partial Least Squares Structural Equation Modeling

38.

Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas

Information Systems Research, Vol. 25, No. 4, pp. 780-784, 2014
Posted: 14 Jun 2017
Georgia State University - J. Mack Robinson College of Business, University of Cologne - Department of Marketing and Brand Management, Georgia State University - J. Mack Robinson College of Business, Hamburg University of Technology (TUHH), Independent, University of Georgia - C. Herman and Mary Virginia Terry College of Business, Georgia State University and Independent

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Formative indicators, Partial least squares, Endogenous constructs

39.

Partial Least Squares Structural Equation Modeling (PLS-SEM): A Useful Tool for Family Business Researchers

Journal of Family Business Strategy, Vol. 5, No. 1. pp. 105-115, 2014
Posted: 14 Jun 2017
Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH), Independent, UPS and Kennesaw State University

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Partial least squares, Structural equation modeling, PLS-SEM, Mediation, Family business research

40.

A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling

Journal of the Academy of Marketing Science (JAMS), Vol. 43, No. 1, pp. 115-135, 2015
Posted: 14 Jun 2017
Jörg Henseler, Christian M. Ringle and Marko Sarstedt
Institute for Management Research, Radboud University Nijmegen, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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Structural equationmodeling (SEM), Partial least squares (PLS), Results evaluation, Measurementmodel assessment, Discriminantvalidity, Fornell-Larckercriterion, Cross-loadings, Multitrait-multimethod (MTMM)matrix, Heterotrait-monotrait (HTMT) ratio of correlations

41.

Prediction-Oriented Modeling in Business Research by Means of PLS Path Modeling: Introduction to a JBR Special Section

Journal of Business Research, Vol. 69, No. 10, pp. 4545-4551, 2016
Posted: 14 Jun 2017
University of Seville, Institute for Management Research, Radboud University Nijmegen, Hamburg University of Technology (TUHH) and University of Seville

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Partial least squares, Prediction-oriented modeling, Business research, Quantitative methods

42.

Identifying and Treating Unobserved Heterogeneity with Fimix-PLS: Part I – Method

European Business Review, Vol. 28, No. 1, pp. 63-76, 2016
Posted: 14 Jun 2017
Joseph F. Hair, Marko Sarstedt, Lucy Matthews and Christian M. Ringle
Kennesaw State University, Otto-von-Guericke-Universität Magdeburg, Middle Tennessee State University and Hamburg University of Technology (TUHH)

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Segmentation, PLS-SEM, Structural equation modeling, Partial least squares, FIMIX-PLS, Finite mixture models, Unobserved heterogeneity

43.

Testing Measurement Invariance of Composites Using Partial Least Squares

International Marketing Review, Vol. 33, No. 3, pp. 405-431, 2016
Posted: 14 Jun 2017
Jörg Henseler, Christian M. Ringle and Marko Sarstedt
Institute for Management Research, Radboud University Nijmegen, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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Methodology, Structural equation modelling, Measurement, Measurement invariance, Partial least squares, MICOM, Multigroup, Variance-based SEM, Composite models, Permutation test, Path modelling

44.

The PLS Agent: Predictive Modeling with PLS-SEM and Agent-Based Simulation

Journal of Business Research, Vol. 69, No. 10, 2016
Posted: 13 Jun 2017
Sandra Schubring, Iris Lorscheid, Matthias Meyer and Christian M. Ringle
Hamburg University of Technology, Hamburg University of Technology, Hamburg University of Technology and Hamburg University of Technology (TUHH)

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Partial least squares path modeling, PLS-SEM, Agent-based simulation, ABS, Predictive modeling, TAM

45.

Enhancing Service Loyalty: The Roles of Delight, Satisfaction, and Service Quality

Journal of Travel Research, Vol. 56, No. 4, pp. 436-450, 2017
Posted: 13 Jun 2017
Dennis Ahrholdt, Siggi Gudergan and Christian M. Ringle
HSBA Hamburg School of Business Administration, Newcastle Business School and Hamburg University of Technology (TUHH)

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Loyalty, Delight, Satisfaction, Quality, Experience, PLS Path Modeling

46.

Community Members’ Perception of Brand Community Character: Construction and Validation of a New Scale

Journal of Interactive Marketing, Vol. 36, pp. 107-120, 2016
Posted: 13 Jun 2017
University of Hamburg - Institute for Marketing and Media, University of Hamburg, Hamburg University of Technology (TUHH), University of Hamburg and University of Hamburg - Institute for Marketing and Media

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Brand community, Brand loyalty, Community loyalty, Perception of brand community character, Scale development

47.

Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part II – A Case Study

European Business Review, Vol. 28, No. 2, pp. 208-224, 2016
Posted: 13 Jun 2017
Lucy Matthews, Marko Sarstedt, Joseph F. Hair and Christian M. Ringle
Middle Tennessee State University, Otto-von-Guericke-Universität Magdeburg, Kennesaw State University and Hamburg University of Technology (TUHH)

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PLS-SEM, Structural equation modeling, Partial least squares, FIMIX-PLS, Finite mixture models, Unobserved heterogeneity

48.

Using Cultural Archetypes in Cross-Cultural Management Studies

Journal of International Management, Vol. 22, No. 1, pp. 63-83, 2016
Posted: 13 Jun 2017
Hamburg University of Technology, University of Hamburg - Faculty of Economics and Business Administration, Otto-von-Guericke-University Magdeburg, Newcastle Business School, Hamburg University of Technology (TUHH) and Leuphana University of Lueneburg

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Culture, Cross-cultural, Measurement, Archetype, Entrepreneurship

49.

Gain More Insight from Your PLS-SEM Results: The Importance-Performance Map Analysis

Industrial Management & Data Systems, Vol. 116, No. 9. pp. 1865-1886, 2016
Posted: 13 Jun 2017
Christian M. Ringle and Marko Sarstedt
Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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Structural equation modeling (SEM), Partial least squares (PLS), Unified theory of acceptance and use of technology (UTAUT), SmartPLS, Importance-performance map analysis (IPMA)

50.

Estimation Issues with PLS and CBSEM: Where the Bias Lies!

Journal of Business Research, Vol. 69, No. 10, 2016
Posted: 13 Jun 2017
Otto-von-Guericke-Universität Magdeburg, Kennesaw State University, Hamburg University of Technology (TUHH), Hamburg University of Technology and Newcastle Business School

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Common factor models, Composite models, Reflective measurement, Formative measurement, Structural equation modeling, Partial least squares

51.

Guidelines for Treating Unobserved Heterogeneity in Tourism Research: A Comment on Marques and Reis (2015)

Annals of Tourism Research, Vol. 57, pp. 279-284, 2016
Posted: 13 Jun 2017
Marko Sarstedt, Christian M. Ringle and Siggi Gudergan
Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH) and Newcastle Business School

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52.

Segmentation of PLS Path Models by Iterative Reweighted Regressions

Journal of Business Research, Vol. 69, No. 10, 2016
Posted: 13 Jun 2017
Institut for Statistik and Econometry, Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and University of Cologne - Department of Marketing and Brand Management

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Partial least squares, PLS, PLS-IRRS, Reweighted regressions, Segmentation, Genetic algorithms, Fuzzy set qualitative comparative analysis, fsQCA

53.

Mirror, Mirror on the Wall: A Comparative Evaluation of Composite-Based Structural Equation Modeling Methods

Journal of the Academy of Marketing Science, Forthcoming
Posted: 13 Jun 2017
Kennesaw State University, Michigan State University, Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology

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Composite, Generalized structured component analysis, GSCA, Partial least squares, PLS, SEM, Simulation, Structural equationmodeling, Sumscores regression

54.

How Collinearity Affects Mixture Regression Results

Marketing Letters, 2014, Forthcoming
Posted: 25 Jul 2014
University of Cologne - Department of Marketing and Brand Management, Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and University of Cologne - Faculty of Management, Economics and Social Sciences

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Market segmentation, Segment retention, Mixture regression, Collinearity

55.

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

Long Range Planning, Vol. 47, Issue 3, pp. 154-160, 2014
Posted: 26 Apr 2014 Last Revised: 09 Jul 2014
Marko Sarstedt, Christian M. Ringle, Jörg Henseler and Joseph F. Hair
Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH), Institute for Management Research, Radboud University Nijmegen and Kennesaw State University

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56.

Common Beliefs and Reality About Partial Least Squares: Comments on Rönkkö & Evermann (2013)

Organizational Research Methods, Volume 17, Issue 2, pp. 182-209, 2014
Posted: 26 Apr 2014 Last Revised: 02 May 2014
Institute for Management Research, Radboud University Nijmegen, Independent, Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH), Independent, Georgia State University, Independent, Kennesaw State University, Michigan State University and Independent

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57.

The Relevance of Reputation in the Nonprofit Sector: The Moderating Effect of Socio-Demographic Characteristics

International Journal of Nonprofit and Voluntary Sector Marketing, Volume 19, Issue 2, pp. 110-126, May 2014
Posted: 26 Apr 2014 Last Revised: 07 May 2014
Matthias Schloderer, Marko Sarstedt and Christian M. Ringle
Ludwig Maximilian University of Munich (LMU), Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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58.

The Impact of Brand Confusion on Sustainable Brand Satisfaction and Private Label Proneness: A Subtle Decay of Brand Equity

Journal of Brand Management, Vol. 19, No. 3, pp. 195-212, 2011
Posted: 26 Jan 2014
Orhan Kocyigit and Christian M. Ringle
University of Hamburg and Hamburg University of Technology (TUHH)

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brand confusion, brand equity, schema theory, partial least squares, path modeling

59.

The Role of Parent Brand Quality for Service Brand Extension Success

Journal of Service Research (JSR), Vol. 13, No. 4, pp. 379-396, 2010
Posted: 24 Jan 2014 Last Revised: 06 Jan 2015
University of Cologne - Faculty of Management, Economics and Social Sciences, University of Hamburg, University of Muenster and Hamburg University of Technology (TUHH)

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service brand extensions, success drivers, perceived service quality, partial least squares

60.

The Impact of Brand Extension Success Drivers on Brand Extension Price Premiums

International Journal of Research in Marketing (IJRM), Vol. 27, No. 4, pp. 319-328, 2010
Posted: 24 Jan 2014 Last Revised: 06 Jan 2015
University of Hamburg, University of Cologne - Faculty of Management, Economics and Social Sciences, University of Technology Sydney (UTS) and Hamburg University of Technology (TUHH)

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61.

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

Measurement and Research Methods in International Marketing; Advances in International Marketing, Vol. 22, pp. 195–218, 2011
Posted: 24 Jan 2014
Marko Sarstedt, Jörg Henseler and Christian M. Ringle
Otto-von-Guericke-Universität Magdeburg, Institute for Management Research, Radboud University Nijmegen and Hamburg University of Technology (TUHH)

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62.

Customer Satisfaction with Commercial Airlines: The Role of Perceived Safety and Purpose of Travel

Journal of Marketing Theory and Practice, Vol. 19, No. 4, pp. 459–472, 2011
Posted: 24 Jan 2014
Christian M. Ringle, Marko Sarstedt and Lorenz Zimmermann
Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and Ludwig Maximilian University of Munich (LMU)

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63.

Genetic Algorithm Segmentation in Partial Least Squares Structural Equation Modeling

OR Spectrum, Vol. 36, No. 1, 2014
Posted: 24 Jan 2014
Christian M. Ringle, Marko Sarstedt and Rainer Schlittgen
Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and Institut for Statistik and Econometry

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genetic algorithm, partial least squares, path modeling, PLS-SEM, segmentation, structural equation modeling

64.

Assessing Heterogeneity in Customer Satisfaction Studies: Across Industry Similarities and within Industry Differences

Measurement and Research Methods in International Marketing, Advances in International Marketing, Vol. 22, pp. 169-194, 2011
Posted: 24 Jan 2014
Edward Rigdon, Christian M. Ringle, Marko Sarstedt and Siegfried Gudergan
Georgia State University - J. Mack Robinson College of Business, Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and University of Technology Sydney (UTS)

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american customer satisfaction index (ACSI) model, partial least squares (PLS) path modeling, unobserved heterogeneity, multigroup analysis, important-performance matrix

65.

Do We Fully Understand the Critical Success Factors of Customer Satisfaction with Industrial Goods? - Extending Festge and Schwaiger's Model to Account for Unobserved Heterogeneity

Journal of Business Market Management, Vol. 3, No. 3, pp. 185-206, September 2009
Posted: 24 Jan 2014
Marko Sarstedt, Manfred Schwaiger and Christian M. Ringle
Otto-von-Guericke-Universität Magdeburg, Ludwig Maximilian University of Munich (LMU) - Faculty of Business Administration (Munich School of Management) and Hamburg University of Technology (TUHH)

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customer satisfaction, structural equation model, PLS path modeling, segmentation, finite mixture, latent class, unobserved heterogeneity

66.

Treating Unobserved Heterogeneity in PLS Path Modelling: A Comparison of FIMIX-PLS with Different Data Analysis Strategies

Journal of Applied Statistics, Vol. 37, No. 8, pp. 1299-1318, 2010
Posted: 24 Jan 2014
Marko Sarstedt and Christian M. Ringle
Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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partial least square (PLS); path modelling; heterogeneity; latent class; finite mixture; market segmentation; corporate reputation

67.

Structural Modeling of Heterogeneous Data with Partial Least Squares

Review of Marketing Research, Vol. 7, pp. 255-296, 2010
Posted: 24 Jan 2014
Edward Rigdon, Christian M. Ringle and Marko Sarstedt
Georgia State University - J. Mack Robinson College of Business, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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partial least squares, heterogeneity, clustering, finite mixture modeling, market segmentation, customer satisfaction, reputation

68.

Local Strategic Networks in the Software Industry: An Empirical Analysis of the Value Continuum

International Journal of Knowledge Management Studies, Vol. 4, No. 2, pp. 132-151, 2010
Posted: 23 Jan 2014
Michael Höck and Christian M. Ringle
Freiberg University of Mining and Technology and Hamburg University of Technology (TUHH)

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strategic local alliances; knowledge networks; value continuum; software industry; PLS path analysis; partial least squares path analysis

69.

Management of Multi-Purpose Stadiums: Importance and Performance Measurement of Service Interfaces

International Journal of Services Technology and Management, Vol. 14, Nos. 2/3, pp. 188-207, 2010
Posted: 23 Jan 2014
Claudia Höck, Christian M. Ringle and Marko Sarstedt
University of Hamburg - Institute for Marketing and Media, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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multi-purpose stadiums, service interfaces, visitor satisfaction, importance-performance measurement, arena management, PLS path modelling, index values

70.

PLS Path Modeling and Evolutionary Segmentation

Journal of Business Research, Vol. 66, No. 9, 2013, pp. 1318-1324
Posted: 28 Aug 2013
Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg, Institut for Statistik and Econometry and Independent

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Partial least squares, Path modeling, Genetic algorithm, Segmentation, Heterogeneity

71.

Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats

MIS Quarterly, Volume 37 (2013), Issue 3, pp. 665-694
Posted: 28 Aug 2013
Jan-Michael Becker, Arun Rai, Christian M. Ringle and Franziska Völckner
University of Cologne - Department of Marketing and Brand Management, Georgia State University - J. Mack Robinson College of Business, Hamburg University of Technology (TUHH) and University of Cologne - Faculty of Management, Economics and Social Sciences

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unobserved heterogeneity, validity, structural equation modeling, partial least squares, formative measures, prediction-oriented segmentation

72.

Applications of Partial Least Squares Path Modeling in Management Journals: A Review of Past Practices and Recommendations for Future Applications

Long Range Planning, Volume 45, Issues 5-6, 2012, Pages 320-340, DOI 10.1016/j.lrp.2012.09.008
Posted: 04 Mar 2013
Joseph F. Hair, Marko Sarstedt, Torsten M. Pieper and Christian M. Ringle
Kennesaw State University, Otto-von-Guericke-Universität Magdeburg, Kennesaw State University - Cox Family Enterprise Center and Hamburg University of Technology (TUHH)

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partial least squares, path modeling, PLS, SEM, structural equation modeling, strategic management

73.

Confirmatory Tetrad Analysis in PLS Path Modeling

Journal of Business Research, Vol. 61, No. 12, 2008, pp. 1238-1249
Posted: 17 Nov 2012 Last Revised: 04 Mar 2013
Siggi Gudergan, Christian M. Ringle, Sven Wende and Alexander Will
Newcastle Business School, Hamburg University of Technology (TUHH), Independent and Independent

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formative, measurement model, partial least squares, path modeling, PLS, reflective, statistical test, SEM, structural equation modeling

74.

An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research

Journal of the Academy of Marketing Science (JAMS), Volume 40, Issue 3 (2012), pp. 414-433
Posted: 16 Nov 2012
Joseph F. Hair, Marko Sarstedt, Christian M. Ringle and Jeanette Mena
Kennesaw State University, Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH) and University of South Florida

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75.

PLS-SEM: Indeed a Silver Bullet

Journal of Marketing Theory and Practice, Vol. 19, No. 2, 2011, pp. 139-152
Posted: 04 Nov 2011 Last Revised: 04 Feb 2014
Joseph F. Hair, Christian M. Ringle and Marko Sarstedt
Kennesaw State University, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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partial least squares, path modeling, PLS, structural equation modeling, SEM, marketing

76.

Predictive Model Assessment in PLS-SEM: Guidelines for Using PLSpredict

European Journal of Marketing, 53(11), 2322-2347
Institute of Service Science, National Tsing Hua University, Taiwan, Otto-von-Guericke-Universität Magdeburg, Kennesaw State University, affiliation not provided to SSRN, Universiti Malaysia Sarawak (UNIMAS), Monash University Malaysia and Hamburg University of Technology (TUHH)

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PLS-SEM, partial least squares, structural equation modeling, PLSpredict, out-of-sample prediction, predictive power