MarvinMotz

M.Sc. Marvin Motz

  • Karlsruhe Institute of Technology (KIT)
    Fakultät für Wirtschaftswissenschaften
    Institut für Wirtschaftsinformatik und Marketing
    Kaiserstraße 89, 76133 Karlsruhe

Research Interest

  • Information Systems in Finance
  • Sustainable Finance
  • Data Analytics and Machine Learning
  • Asset Pricing

Current Teaching

Winter Semester:

  • eFinance - Informationswirtschaft für den Wertpapierhande

Every Semester:

  • Seminar in Digital Democracy
  • Seminar in Business Data Analytics

Academic CV

Since Oct, 2022 Research assistant and PhD student at the Institute for Information Systems at KIT (WIN). Chair of Prof. Weinhardt, Information and Market Engineering (IM), research group "Applied Resonsible AI" 
2020-2022 M.Sc. Information Systems (KIT), Master Thesis "Using GHG Emission Data for Portfolio Selection"
2015-2020 B.Sc. Industrial Engineering & Management (KIT), Bachelor Thesis "Forecasting the Occupancy of BEV Charging Stations" 

 

Publications


2025
Unveiling Green Facades: Detecting Greenwashing Tendencies in Corporate Sustainability Reports
Motz, M.; Uzun, S.; Hariharan, A.; Weinhardt, C.
2025. Proceedings of the 58th Hawaii International Conference on System Sciences. Ed.: T. X. Bui, 951–960, University of Hawaii Press
2024
Accessible data lineage: a scoping review on open-source data lineage platforms
Hariharan, A.; Zhang, T.; Motz, M.; Weinhardt, C.
2024. Proceedings of the 45th International Conference on Information Systems
Unveiling Green Facades: Exploring the Confluence of Greenwashing and Fake News
Motz, M.; Koelbel, T.; Hariharan, A.
2024. Wirtschaftsinformatik 2024 Proceedings, Würzburg, 16.09.24-19.09.2024
2023
The impact of active and passive investment on market efficiency: a simulation study
Jaquart, P.; Motz, M.; Köhler, L.; Weinhardt, C.
2023. Journal of Applied Economics, 26 (1), Art.-Nr.: 2188634. doi:10.1080/15140326.2023.2188634
2021
Forecasting BEV charging station occupancy at work places
Motz, M.; Huber, J.; Weinhardt, C.
2021. Informatik 2020 : 50. Jahrestagung der Gesellschaft für Informatik : back to the future, 28. September-2. Oktober 2020, Karlsruhe, Deutschland. Ed.: R. H. Reussner; A. Koziolek Autorin/Autor:, 771–781, Gesellschaft für Informatik (GI). doi:10.18420/inf2020_68