| When predictors of outcomes are necessary: Guidelines for the combined use of PLS-SEM and NCA NF Richter, S Schubring, S Hauff, CM Ringle, M Sarstedt Industrial management & data systems 120 (12), 2243-2267, 2020 | 362 | 2020 |
| The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation S Schubring, I Lorscheid, M Meyer, CM Ringle Journal of Business Research 69 (10), 4604-4612, 2016 | 102 | 2016 |
| How to apply necessary condition analysis in PLS-SEM NF Richter, S Hauff, CM Ringle, M Sarstedt, AE Kolev, S Schubring Partial least squares path modeling: Basic concepts, methodological issues …, 2023 | 48 | 2023 |
| Dataset on an extended technology acceptance model: A combined application of PLS-SEM and NCA NF Richter, S Hauff, AE Kolev, S Schubring Data in Brief 48, 109190, 2023 | 16 | 2023 |
| Innoage: Innovation and product development for aging users K Iffländer, N Levsen, I Lorscheid, S Pakur, K Wellner, C Herstatt, C Lüthje, ... Hamburg University of Technology (TUHH), Management@ TUHH Research Paper Series, 2012 | 6 | 2012 |
| The PLS agent: agent behavior validation by partial least squares I Lorscheid, M Meyer, S Pakur, C Ringle Social simulation conference, 2014 | 4 | 2014 |
| Consumers᾽ technology and innovation adoption and satisfaction S Schubring Verlag Dr. Kovač, 2021 | | 2021 |
| Testing necessary conditions in PLS structural equation models: an illustration in the context of technology acceptance NF Richter, S Schubring, S Hauff, CM Ringle, M Sarstedt EURAM annual conference, Lisbon, Portugal (2019), 2019 | | 2019 |
| The PLS Agent: Predictive Modeling with Partial Least Squares and Agent-based Simulation S Schubring, I Lorscheid, M Meyer, CM Ringle 2nd International Symposium on Partial Least Squares Path Modeling-The …, 2015 | | 2015 |
