Can machine learning techniques predict customer dissatisfaction? A feasibility study for the automotive industry. S Meinzer, U Jensen, A Thamm, J Hornegger, BM Eskofier Artif. Intell. Res. 6 (1), 80-90, 2017 | 21 | 2017 |
Translating satisfaction determination from health care to the automotive industry S Meinzer, J Prenninger, P Vesel, J Kornhuber, J Volmer, J Hornegger, ... Service Business 10, 651-685, 2016 | 13 | 2016 |
Using multivariate split analysis for an improved maintenance of automotive diagnosis functions J Kohl, A Kotucz, J Prenninger, A Dorneich, S Meinzer 2011 15th European Conference on Software Maintenance and Reengineering, 305-308, 2011 | 6 | 2011 |
Innovation Labs und Aktivitäten der Volkswagen Konzern IT im Zuge der Digitalisierung und Industrie 4.0 L Gehrke, D Hajizadeh, C Kreibich, S Meinzer, S Augustine, JS Geffers Einführung und Umsetzung von Industrie 4, 231-246, 2016 | 5 | 2016 |
Industrie 4.0–Use Cases aus Forschung und Unternehmenspraxis M Schindler, S Magerstedt, J Regtmeier, T Kaufmann, L Sören Bochmann, ... Einführung und Umsetzung von Industrie 4.0: Grundlagen, Vorgehensmodell und …, 2016 | 4 | 2016 |
Translating the determination of subjective customer perceptions from the health care sector to the service industry: A study for the automotive industry S Meinzer FAU University Press, 2018 | 1 | 2018 |
Preface: Intelligent & Autonomous Enterprise M Hofmann, S Meinzer Digital Marketplaces Unleashed, 571-581, 2018 | 1 | 2018 |
Transferring Methods and Knowledge from the Healthcare Sector to the Automotive Industry to Increase Perceived Quality and Satisfaction S Meinzer, J Prenninger, BM Eskofier Kooperationskongress NeZuMed - Innovationen aus Wissenschaft und …, 2012 | 1 | 2012 |