Manuel von Krosigk
Strategic Management and Innovation
WEV H 309
Weinbergstrasse 56/58
8092 Zürich
Switzerland
Phone: +41 44 63 28 99 1
E-Mail: mvkrosigk[at]ethz[dot]ch
Short bio
Manuel is a research associate and doctoral student at the Chair of Strategic Management and Innovation at ETH Zurich. He holds a M.A. HSG in external page Quantitative Economics and Finance from the University of St.Gallen as well as a M.Sc. in external page Economics from the Stockholm School of Economics. In collaboration with KOF, Manuel is a part of the National Research Project external page NRP77 and an associated doctoral student of the ETH AI Center.
Prior to this position, Manuel worked as a project manager in strategy consulting with two focus areas.
1) Application of game theory, mechanism design and behavioural economics in negotiations, incentive schemes and corporate strategy
2) Digitization of business models and processes as well as implementation of digital technologies
During these assignments, he gained experience in the automotive, financial services, manufacturing and transportation industry.
In addition, Manuel works as a mentor at external page Speed Up, Buddy!, an association that supports students from families without an academic background.
Research interests
- Coordination & management of interdependencies from multiple objectives in organizations
- Reactions to firm underperformance for financial and emissions objectives
- Effects of AI-based tools on firm performance and market dynamics
Conferences
- Open and User Innovation Conference 2024 (Boston, Harvard Business School)
- Annual Meeting of the Academy of Management 2024 (Chicago)
- INFORMS Organization Science Winter Conference 2024 (Zurich)
Master thesis supervision
If you are interested in writing your thesis on a topic related to one of the aforementioned research areas, I welcome you to reach out and discuss thesis topics or projects. Both quantitative and qualitative methods are possible; quantative topics based on firm-level financial and/or ESG/CSR data will be prioritized. Please make sure to prepare all relevant information as described on the following page in advance: Master Thesis Supervision
Potential topics:
- Quantitative analysis of company-level data: How do companies react when they do not meet their ESG/CSR targets?
- Quantitative analysis of company-level data: How do companies organize responsibilities for ESG/CSR goals?
Teaching activities
- Management Research, Teaching Assistant to Prof. Dr. Uriel Stettner
- Strategic Management, Teaching Assistant to Prof. Dr. Fredrik Hacklin and Dr. Ann-Kristin Weiser