Manuel von Krosigk

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

• Multiple goals, interdependencies in organizations, differences in structure, and how these affect performance
• Organizational learning from underperformance, particularly for financial and emissions objectives
  
• Impact of AI-based tools on firm structure and performance

Conferences

• Annual Meeting of the Academy of Management 2025 (Copenhagen)
• 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