Jan-Michael Becker

University of Cologne - Department of Marketing and Brand Management

Albertus-Magnus-Platz 1

Cologne, 50931

Germany

SCHOLARLY PAPERS

11

DOWNLOADS

415

SSRN CITATIONS

2

CROSSREF CITATIONS

10

Scholarly Papers (11)

1.

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 415 (104,381)
Citation 2

Abstract:

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

2.

PLS-SEMs Most Wanted Guidance

International Journal of contemporary Hospitality Management, 2022
Posted: 11 Oct 2022
Hamburg University of Technology (TUHH), University of Cologne - Department of Marketing and Brand Management, Independent and Otto-von-Guericke-Universität Magdeburg

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3.

Revisiting Gaussian Copulas to Handle Endogenous Regressors

Journal of the Academy of Marketing Science 2021
Posted: 12 Dec 2021
Jan-Michael Becker, Dorian Proksch and Christian M. Ringle
University of Cologne - Department of Marketing and Brand Management, HHL Leipzig Graduate School of Management and Hamburg University of Technology (TUHH)

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Endogeneity, Gaussian copula, Intercept, Linear regression, Multilevel models, Sample size, Simulation

4.

This Fast Car Can Move Faster: A Review of PLS-SEM Application in Higher Education Research

Higher Education, 2020
Posted: 28 May 2020
Independent, affiliation not provided to SSRN, University of Cologne - Department of Marketing and Brand Management and Hamburg University of Technology (TUHH)

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Partial Least Squares (PLS), Higher Education, Structural Equation Modeling (SEM), PLS-SEM, Explanatory and Predictive Studies

5.

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

Australasian Marketing Journal, 27(3), 197-211, 2019
Posted: 12 Nov 2019
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

6.

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

7.

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

8.

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

9.

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

10.

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
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

11.

Use IT again? Dynamic roles of habit, intention and their interaction on continued system use by individuals in utilitarian, volitional contexts

European Journal of Information Systems (EJIS)
Number of pages: 19
University of Kassel - Information Systems, Iowa State University, University of Cologne - Department of Marketing and Brand Management and University of St. Gallen
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Continued system use, habit, longitudinal research, continuance intention, volitional, utilitarian