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Jan-Michael Becker

Wirtschaftsinformatiker

Name	Jan-Michael Becker
Place	Deutschland
Gender	männlich
Academic degree	Dr.
Profession	Wirtschaftsinformatiker (characteristic profession)
Related	Handelshøyskolen BI (Associate Professor (Department of Marketing)) Universität zu Köln. Wirtschafts- und Sozialwissenschaftliche Fakultät
Further information	Promotionsort: Köln Univ.
Source	http://www.voelckner.uni-koeln.de/index.php?id=dr_jan-michael_becker
Record type	Person
GND-Identifier	1013520009
Record ID	1013520009
Involved in show all Covariance-based structural equation modeling (CB-SEM): a SmartPLS 4 software tutorial Covariance-based structural equation modeling (CB-SEM): a SmartPLS 4 software tutorial Must-have, or maybe not? A sensitivity-based extension to necessary condition analysis Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach Revisiting Gaussian copulas to handle endogenous regressors Revisiting Gaussian copulas to handle endogenous regressors This fast car can move faster: a review of PLS-SEM application in higher education research Parceling Cannot Reduce Factor Indeterminacy in Factor Analysis: A Research Note Estimating Moterating effects in PLS-SEM andPLSc-SEM: interaction term gerneration*data treatment Does Chain Labeling Make Private Labels More Successful? Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments? Essays on uncovering and treating unobserved heterogeneity

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Katalog der Deutschen Nationalbibliothek

Jan-Michael Becker

Covariance-based structural equation modeling (CB-SEM): a SmartPLS 4 software tutorial

Covariance-based structural equation modeling (CB-SEM): a SmartPLS 4 software tutorial

Must-have, or maybe not? A sensitivity-based extension to necessary condition analysis

Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach

Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach

Revisiting Gaussian copulas to handle endogenous regressors

Revisiting Gaussian copulas to handle endogenous regressors

This fast car can move faster: a review of PLS-SEM application in higher education research

Parceling Cannot Reduce Factor Indeterminacy in Factor Analysis: A Research Note

Estimating Moterating effects in PLS-SEM andPLSc-SEM: interaction term gerneration*data treatment

Does Chain Labeling Make Private Labels More Successful?

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

Essays on uncovering and treating unobserved heterogeneity