Kathrin Weber, M. Sc.
Kathrin Weber has been a research assistant and doctoral candidate at the Chair of Entrepreneurship since October 2024.
She completed her studies in industrial engineering with a focus on mechanical engineering at RPTU with great success.
In her professional career to date, she has gained extensive practical experience in the areas of entrepreneurship and digital innovation as Assistant to the CFO at LUBIS EDA. Already during her studies, she attended several courses with Prof. Dr. Dennis Steininger, which optimally prepared her for her future work at our chair.
At the chair, Kathrin Weber will take over the project management for the “FRAME-AI” funding project. In addition, she will support various courses in the economics and interdisciplinary Bachelor's and Master's degree programs at RPTU and conduct research in the field of digital innovations.
Career
Academic Career
| Sep-Okt 2026 | Research Stay Department of Information Technologies, HEC Montréal |
| from 2024 | Research assistant & PhD student Research and teaching in the fields of digital transformation and circular economy Chair of Entrepreneurship of Prof. Dr. Dennis Steininger,RPTU Kaiserslautern-Landau |
Academic Education
| 2022- 2024 | Master's degree in Industrial Engineering and Management (M.Sc.) RPTU Kaiserslautern-Landau |
| 2018- 2022 | Bachelor's degree in Industrial Engineering and Management (B.Sc) Technical University of Kaiserslautern |
Practical Experience
| 2020- 2024 | Assistant to the CFO at LUBIS EDA, Kaiserslautern |
| 2018 | Seasonal Assistant at Freudenberg Medical, Kaiserslautern |
| 2018 | Technical internship in mechanical engineering at Freudenberg Performance Materials, Kaiserslautern |
| 2016 | Internship in the Department of Mathematics at TU Kaiserslautern |
| 2014 | Internship in the field of technical drawing at Johnson Controls, Kaiserslautern |
Further Information
Peer-reviewed Conference and Workshop Articles
Weber, K., Vial, G. & Steininger, D. M. (2026). Navigating AI choices: A taxonomy of decision factors on AI use case selection. ECIS 2026 Proceedings, 1-9. https://aisel.aisnet.org/ecis2026/digitrans/digitrans/7/
