Marko Sarstedt

Otto-von-Guericke-Universität Magdeburg

Universitätspl. 2

PSF 4120

Magdeburg, D-39106

Germany

University of Newcastle (Australia)

University Drive

Callaghan, NSW 2308

Australia

  • Otto-von-Guericke-Universität Magdeburg

  • University of Newcastle (Australia)

SCHOLARLY PAPERS

37

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88

Scholarly Papers (37)

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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 8,185 (1,149)
Citation 22

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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 3,723 (4,459)
Citation 15

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3.

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 1,845 (13,925)
Citation 2

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

4.

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 567 (73,952)

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

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
Marko Sarstedt, Jan-Michael Becker, Christian M. Ringle and Manfred Schwaiger
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 420 (106,606)
Citation 2

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

6.

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
Faizan Ali, S. Mostafa Rasoolimanesh, Marko Sarstedt, Christian M. Ringle and Ki Sang Ryu
Independent, Taylor’s University Malaysia - Centre for Research and Innovation in Tourism (CRiT), Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH) and Independent
Downloads 326 (141,112)
Citation 1

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

7.

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 91 (419,533)

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8.

Predictive Model Assessment and Selection in Composite-Based Modeling Using PLS-SEM: Extensions and Guidelines for Using CVPAT

Forthcoming, European Journal of Marketing. https://doi.org/10.1108/EJM-08-2020-0636
Posted: 24 Jul 2022
Pratyush Nidhi Sharma, Benjamin Liengaard, Benjamin Liengaard, Benjamin Liengaard, Joseph F. Hair, Marko Sarstedt and Christian M. Ringle
University of Alabama - Department of Information Systems, Statistics, and Management Science, Aarhus UniversityAarhus University - CREATESAarhus University - Department of Economics and Business Economics, Kennesaw State University, Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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Evaluation, PLS, Prediction, SEM, Model selection, Partial least squares, Assessment, Structural equation modeling, Cross-validation

9.

A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis

Posted: 23 May 2022
Gyeongcheol Cho, Heungsun Hwang, Marko Sarstedt and Christian M. Ringle
McGill University, McGill University, Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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Cross-validation, generalized structured component analysis, predictice modeling

10.

“PLS-SEM: Indeed a Silver Bullet” – Retrospective Observations and Recent Advances

Journal of Marketing Theory and Practice, 2022
Posted: 16 May 2022
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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partial least squares, prediction-oriented modeling, business research, quantitative methods

11.

A Comparative Study of the Predictive Power of Component-Based Approaches to Structural Equation Modeling

Posted: 10 May 2022
Gyeongcheol Cho, Kim Sunmee, Jonathan Lee, Heungsun Hwang, Christian M. Ringle and Marko Sarstedt
McGill University, Independent, Independent, McGill University, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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Prediction, Simulation, Structural equation modeling, generalized structured component analysis, partial least squares path modeling

12.

Guest Editorial: Special Issue on Composite-Based Structural Equation Modeling

ACM SIGMIS Database, 2022
Posted: 22 Mar 2022
Heungsun Hwang, Marko Sarstedt and Christian M. Ringle
McGill University, Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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Structural equation modeling

13.

Advancing Family Business Research Through Modeling Nonlinear Relationships: Comparing PLS-SEM and Multiple Regression

Journal of Family Business Strategy, Forthcoming
Posted: 07 Dec 2021
Rodrigo Basco, Joseph F. Hair, Christian M. Ringle and Marko Sarstedt
American University of Sharjah, Kennesaw State University, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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Partial least squares structural equation modeling; PLS-SEM; nonlinear effects; nonlinear relationships; quadratic effects

14.

A Concept Analysis of Methodological Research on Composite-Based Structural Equation Modeling: Bridging PLSPM and GSCA

Behaviormetrika, 1-23
Posted: 20 Nov 2019
Heungsun Hwang, Marko Sarstedt, Jacky Cheah and Christian M. Ringle
McGill University, Otto-von-Guericke-Universität Magdeburg, affiliation not provided to SSRN and Hamburg University of Technology (TUHH)

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Composites, GSCA, Leximancer, PLSPM, Scientometrics, Text analytics

15.

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

European Journal of Marketing, 53(11), 2322-2347, Forthcoming
Posted: 25 Oct 2019
Galit Shmueli, Marko Sarstedt, Joseph F. Hair, Jacky Cheah, Hiram Ting, Santha Vaithilingam and Christian M. Ringle
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

16.

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

Journal of International Marketing, Forthcoming
Posted: 15 Aug 2018
G. Tomas M. Hult, Joseph F. Hair, Dorian Proksch, Marko Sarstedt, Andreas Pinkwart and Christian M. Ringle
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)

17.

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

18.

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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19.

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

20.

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

21.

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
Marko Sarstedt, Christian M. Ringle, Donna Smith, Russell Reams and Joseph F. Hair
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

22.

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

23.

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

24.

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

25.

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

26.

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)

27.

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

Journal of Business Research, Vol. 69, No. 10, 2016
Posted: 13 Jun 2017
Marko Sarstedt, Joseph F. Hair, Christian M. Ringle, Kai Thiele and Siggi Gudergan
Otto-von-Guericke-Universität Magdeburg, Kennesaw State University, Hamburg University of Technology (TUHH), Technical University Hamburg-Harburg (TUHH) and Newcastle Business School

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

28.

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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29.

Segmentation of PLS Path Models by Iterative Reweighted Regressions

Journal of Business Research, Vol. 69, No. 10, 2016
Posted: 13 Jun 2017
Rainer Schlittgen, Christian M. Ringle, Marko Sarstedt and Jan-Michael Becker
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

30.

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
Joseph F. Hair, G. Tomas M. Hult, Christian M. Ringle, Marko Sarstedt and Kai Thiele
Kennesaw State University, Michigan State University, Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and Technical University Hamburg-Harburg (TUHH)

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

31.

How Collinearity Affects Mixture Regression Results

Marketing Letters, 2014, Forthcoming
Posted: 25 Jul 2014
Jan-Michael Becker, Christian M. Ringle, Marko Sarstedt and Franziska Völckner
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

32.

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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33.

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
Jörg Henseler, Theo Klaas Dijkstra, Marko Sarstedt, Christian M. Ringle, A. Diamantopoulos, Detmar Straub, David Ketchen, Joseph F. Hair, G. Tomas M. Hult and Roger J. Calantone
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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34.

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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35.

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

36.

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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37.

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