Marko Sarstedt

Otto-von-Guericke-Universität Magdeburg

Professor of Marketing

Universitätspl. 2

PSF 4120

Magdeburg, D-39106

Germany

University of Newcastle (Australia)

Adjunct Professor

University Drive

Callaghan, NSW 2308

Australia

  • Otto-von-Guericke-Universität Magdeburg

  • University of Newcastle (Australia)

SCHOLARLY PAPERS

27

DOWNLOADS

487

SSRN CITATIONS

0

CROSSREF CITATIONS

3

Scholarly Papers (27)

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1.

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
Marko Sarstedt, Christian M. Ringle, Sascha Raithel and Siegfried Gudergan
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 383 (99,446)
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sports service, success drivers, fan satisfactions, PLS-SEM, impact-performance matrix analysis

2.

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 104 (325,341)

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3.

Latent Class Analysis in PLS-SEM: A Review and Recommendations for Future Applications

Journal of Business Research, 138, 398-407, Forthcoming
Posted: 24 Nov 2021
Marko Sarstedt, Lăcrămioara Radomir, Ovidiu I. Moisescu and Christian M. Ringle
Otto-von-Guericke-Universität Magdeburg, Independent, Babe?-Bolyai University - Faculty of Economics and Business Administration and Hamburg University of Technology (TUHH)

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Partial least squares structural equation modeling, PLS-SEM, Finite mixture, FIMIX-PLS, Latent class analysis

4.

Partial Least Squares Structural Equation Modeling

In: Homburg, C., Klarmann, M., Vomberg, A. E. (eds.) Handbook of Market Research. Springer: Cham., Forthcoming
Posted: 27 Aug 2021
Marko Sarstedt, Christian M. Ringle and Joseph F. Hair
Otto-von-Guericke-Universität Magdeburg, Hamburg University of Technology (TUHH) and Kennesaw State University

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Partial least squares structural equation modeling, PLS-SEM, Path model analysis, Composite modeling, Results evaluation

5.

The Combined Use of Symmetric and Asymmetric Approaches: Partial Least Squares-Structural Equation Modeling and Fuzzy-Set Qualitative Comparative Analysis

International Journal of Contemporary Hospitality Management 2021
Posted: 20 May 2021
S. Mostafa Rasoolimanesh, Christian M. Ringle, Marko Sarstedt and Hossein Olya
Taylor’s University Malaysia - Centre for Research and Innovation in Tourism (CRiT), Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and Sheffield University

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Partial least squares structural equation modeling (PLS-SEM), Predictive power, Qualitative comparative analysis (QCA), Fuzzy-set qualitative comparative analysis (fsQCA), Prediction-oriented methods, Symmetric and asymmetric techniques

6.

Executing and Interpreting Applications of PLS-SEM: Updates for Family Business Researchers

Journal of Family Business Strategy, Forthcoming
Posted: 05 Feb 2021
Joseph F. Hair, Claudia Astrachan, Ovidiu I. Moisescu, Lăcrămioara Radomir, Marko Sarstedt, Santha Vaithilingam and Christian M. Ringle
Kennesaw State University, Lucerne University of Applied Sciences and Arts, Babe?-Bolyai University - Faculty of Economics and Business Administration, Independent, Otto-von-Guericke-Universität Magdeburg, Monash University Malaysia and Hamburg University of Technology (TUHH)

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Partial least squares, PLS-SEM, Structural equation modeling, Out-of-sample prediction, PLSpredict, Model selection, Discrete choice modeling, Endogeneity

7.

Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis

Journal of Marketing Analytics, 8(4), 189-202
Posted: 12 Nov 2020 Last Revised: 07 Dec 2020
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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Component-Based Structural Equation Modeling, Generalized Structured Component Analysis, Model Fit, GFI, SRMR

8.

Structural Equation Models: From Path to Networks (Westland 2019)

Psychometrika, Forthcoming
Posted: 07 Oct 2020
Marko Sarstedt and Christian M. Ringle
Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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9.

When Predictors of Outcomes Are Necessary: Guidelines for the Combined Use of PLS-SEM and NCA

Industrial Management & Data Systems, 120(12), 2243-2267
Posted: 18 Sep 2020 Last Revised: 02 Dec 2020
Nicole Richter, Sandra Schubring, Sven Hauff, Christian M. Ringle and Marko Sarstedt
Technical University Hamburg-Harburg (TUHH), Technical University Hamburg-Harburg (TUHH), University of Hamburg - Faculty of Economics and Business Administration, Hamburg University of Technology (TUHH) and Otto-von-Guericke-Universität Magdeburg

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Necessary condition analysis, NCA, Partial least squares, PLS, PLS-SEM, Structural equation modeling, SEM, Technology acceptance model, TAM

10.

Data Generation for Composite-Based Structural Equation Modeling Methods

Advances in Data Analysis and Classification, 2020
Posted: 22 Jun 2020
Rainer Schlittgen, Marko Sarstedt and Christian M. Ringle
Institut for Statistik and Econometry, Otto-von-Guericke-Universität Magdeburg and Hamburg University of Technology (TUHH)

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Composite models, Data generation, Generalized structural component analysis, GSCA, Partial least squares, PLS, Structural equation modeling, SEM

11.

Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling

Decision Sciences, 52(2), 362-392
Posted: 18 Jun 2020 Last Revised: 09 Apr 2021
Benjamin Liengaard, Benjamin Liengaard, Benjamin Liengaard, Pratyush Nidhi Sharma, G. Tomas M. Hult, Morten Berg Jensen, Marko Sarstedt, Joseph F. Hair and Christian M. Ringle
Aarhus UniversityAarhus University - CREATESAarhus University - Department of Economics and Business Economics, University of Alabama - Department of Information Systems, Statistics, and Management Science, Michigan State University, Aarhus University - School of Business and Social Sciences, Otto-von-Guericke-Universität Magdeburg, Kennesaw State University and Hamburg University of Technology (TUHH)

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Cross-Validation, Explanation, Partial Least Squares, Prediction, Structural Equation Modeling

12.

Beyond a Tandem Analysis of SEM and PROCESS: Use of PLS-SEM for Mediation Analyses!

International Journal of Market Research, 2020
Posted: 26 May 2020
Marko Sarstedt, Joseph F. Hair, Christian Nitzl, Christian M. Ringle and Matthew C. Howard
Otto-von-Guericke-Universität Magdeburg, Kennesaw State University, University of the German Federal Armed Forces - Universität der Bundeswehr München, Hamburg University of Technology (TUHH) and affiliation not provided to SSRN

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Conditional Process Analysis, Measurement Error, Mediation Analysis, Partial Least Squares, PROCESS, Structural Equation Modeling

13.

How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM

Australasian Marketing Journal, 27(3), 197-211, 2019
Posted: 12 Nov 2019
Marko Sarstedt, Joseph F. Hair, Jacky Cheah, Jan-Michael Becker and Christian M. Ringle
Otto-von-Guericke-Universität Magdeburg, Kennesaw State University, affiliation not provided to SSRN, University of Cologne - Department of Marketing and Brand Management and Hamburg University of Technology (TUHH)

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Hierarchical component models, Higher-order constructs, Partial least squares, Path modeling, PLS-SEM, Second-order constructs

14.

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

15.

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

16.

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

17.

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

18.

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)

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

19.

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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20.

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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21.

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

22.

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

23.

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

24.

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

25.

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

26.

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

27.

PLS Path Modeling and Evolutionary Segmentation

Journal of Business Research, Vol. 66, No. 9, 2013, pp. 1318-1324
Posted: 28 Aug 2013
Christian M. Ringle, Marko Sarstedt, Rainer Schlittgen and Charles R. Taylor
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

Other Papers (1)

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1.

Guest Editorial

Forthcoming, European Business Review, 33(1), 1-8
Posted: 10 Mar 2021
Joseph F. Hair, Jun-Hwa Cheah, Christian M. Ringle, Marko Sarstedt and Hiram Ting
Kennesaw State University, Independent, Hamburg University of Technology (TUHH), Otto-von-Guericke-Universität Magdeburg and Universiti Malaysia Sarawak (UNIMAS)

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