📌 Key facts
- What: This thesis examines how public sector government activities relate to observable outcomes across countries and over time. The thesis is fully based on secondary data (e.g., publicly available international datasets and indicators)
- When: Start anytime soon. Applications are open!
- How to apply: Send your CV, transcript of records, and max. 5 sentences why this topic interests you (more details below)
- 📌 Key facts
- 💡 Background
- 🦾Who We Are
- 🎯 Topics of Interest and Potential Outcomes
- 🎓 Profile
- 📝 How to Apply
💡 Background
Public sector systems differ substantially across countries in how government activities are organized and implemented in regard to new technologies and digitalization efforts. At the same time, countries show heterogeneous trajectories in measurable outcomes. A global, secondary-data perspective allows studying these patterns systematically and identifying conditions under which certain government activities are associated with more favorable developments.
🦾Who We Are
I am a PhD student and Senior Consultant at McKinsey & Company. My research interest lies broadly in the human dimensions of AI, including its adoption, effective use, and its impact on workplace dynamics. I have an educational background in Business and Information Systems Management.
As Chair for Strategy and Organization we are focused on research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future such as Quantum/Deep Tech, (Generative) Artifical Intelligence, Digital Transformation and Business Model Innovation, Diversity, Education Technology and Performance Management, Leadership, and Teams. We are always early in noticing trends, technologies, strategies, and organisations that shape the future, which has its ups and downs.
🎯 Topics of Interest and Potential Outcomes
- Identifying and operationalizing public sector government activities using global secondary data
- Examining cross-country variation and change over time using longitudinal secondary indicators
- Conducting robustness and heterogeneity analyses using additional secondary measures
🎓 Profile
- Strong interest in digital transformation, and organizational development
- Reliable, structured, and self-driven working style
- Strong academic record and analytical mindset
📝 How to Apply
If you are interested, please contact Lisa-Maria Schober by submitting your CV, grade report, preferred starting date & short motivation statement (max. 5 sentences) Please also indicate which kind of thesis (= outcome) you are interested in.