| SmartPLS 3 CM Ringle, S Wende, JM Becker SmartPLS, Hamburg, 2014 | 9015* | 2014 |
| Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models JM Becker, K Klein, M Wetzels Long range planning 45 (5-6), 359-394, 2012 | 1739 | 2012 |
| How to specify, estimate, and validate higher-order constructs in PLS-SEM M Sarstedt, JF Hair Jr, JH Cheah, JM Becker, CM Ringle Australasian Marketing Journal (AMJ) 27 (3), 197-211, 2019 | 642 | 2019 |
| Discovering unobserved heterogeneity in structural equation models to avert validity threats JM Becker, A Rai, CM Ringle, F Völckner MIS Quarterly 37 (3), 665-694, 2013 | 401 | 2013 |
| Uncovering and treating unobserved heterogeneity with FIMIX-PLS: which model selection criterion provides an appropriate number of segments? M Sarstedt, JM Becker, CM Ringle, M Schwaiger Schmalenbach Business Review 63 (1), 34-62, 2011 | 241 | 2011 |
| Predictive validity and formative measurement in structural equation modeling: Embracing practical relevance JM Becker, A Rai, E Rigdon | 190 | 2013 |
| How collinearity affects mixture regression results JM Becker, CM Ringle, M Sarstedt, F Völckner Marketing Letters 26 (4), 643-659, 2015 | 162 | 2015 |
| Estimating moderating effects in PLS-SEM and PLSc-SEM: Interaction term generation* data treatment JM Becker, CM Ringle, M Sarstedt Journal of Applied Structural Equation Modeling 2 (2), 1-21, 2018 | 134 | 2018 |
| Segmentation of PLS path models by iterative reweighted regressions R Schlittgen, CM Ringle, M Sarstedt, JM Becker Journal of Business Research 69 (10), 4583-4592, 2016 | 72 | 2016 |
| This fast car can move faster: A review of PLS-SEM application in higher education research M Ghasemy, V Teeroovengadum, JM Becker, CM Ringle Higher education 80 (6), 1121-1152, 2020 | 70 | 2020 |
| Conflating antecedents and formative indicators: A comment on Aguirre-Urreta and Marakas EE Rigdon, JM Becker, A Rai, CM Ringle, A Diamantopoulos, ... Information Systems Research 25 (4), 780-784, 2014 | 61 | 2014 |
| Factor indeterminacy as metrological uncertainty: Implications for advancing psychological measurement EE Rigdon, JM Becker, M Sarstedt Multivariate Behavioral Research 54 (3), 429-443, 2019 | 56 | 2019 |
| Accounting for sampling weights in PLS path modeling: Simulations and empirical examples JM Becker, IR Ismail European Management Journal 34 (6), 606-617, 2016 | 51 | 2016 |
| Quantify uncertainty in behavioral research EE Rigdon, M Sarstedt, JM Becker Nature Human Behaviour 4 (4), 329-331, 2020 | 27 | 2020 |
| Parceling cannot reduce factor indeterminacy in factor analysis: A research note EE Rigdon, JM Becker, M Sarstedt Psychometrika 84 (3), 772-780, 2019 | 18 | 2019 |
| Does Chain Labeling Make Private Labels More Successful? O Schnittka, JM Becker, K Gedenk, H Sattler, IV Villeda, F Völckner Schmalenbach Business Review 67 (1), 92–113, 2015 | 15 | 2015 |
| Revisiting Gaussian copulas to handle endogenous regressors JM Becker, D Proksch, CM Ringle Journal of the Academy of Marketing Science 50 (1), 46-66, 2022 | 13 | 2022 |
| Wertschöpfung im Handel durch Handelsmarken JM Becker, O Schnittka, F Völckner Wertschöpfung im Handel, 84-101, 2014 | 5 | 2014 |
| How, why, and when disclosure type matters for influencer marketing Z Karagür, JM Becker, K Klein, A Edeling International Journal of Research in Marketing, 2021 | 3 | 2021 |
| Weighted Partial Least Squares–A new method to account for sampling weights in PLS path modeling JM Becker 2nd International Symposium on Partial Least Squares Path Modeling, Seville …, 2015 | 2 | 2015 |
Christian M. RingleProfessor of Management, Hamburg University of Technology, Technische Universität Hamburg, TUHHVerified email at tuhh.de
