- When: Start anytime (now - March). Applications are open!
- How to apply: Send us an e-mail (at the end of this page) with your CV and a grade report
- 💡 Background
- ✏️ Topic
- Meta-Analysis on Algorithm Aversion – Exploring Intervention Effectiveness
- 🦾Who We Are
- 🎯 Goals
- 🎓 Readings
- 📝 How to Apply
- 📬 Contact
💡 Background
At the Chair for Strategy and Organization, we are at the forefront of exploring the fascinating world of algorithms and their impact on decision-making. We delve into the intriguing question of why, despite their proven efficiency, algorithms often meet resistance and skepticism. This research isn't just about understanding technology; it's about understanding human behavior towards it. Your master thesis could be the key to unlocking new strategies that increase the acceptance and effectiveness of algorithms in various domains. Join us in this cutting-edge research that sits at the intersection of technology, psychology, and organizational behavior.
✏️ Topic
Meta-Analysis on Algorithm Aversion – Exploring Intervention Effectiveness
This topic offers a deep dive into the world of algorithm aversion, a field that is rapidly gaining significance in our increasingly data-driven society. Your mission, should you choose to accept it, is to conduct a systematic literature review and meta-analysis. You'll investigate the effectiveness of various interventions aimed at reducing algorithm aversion, focusing on recent studies. This project will not only enhance your research skills but also place you at the forefront of a crucial area that combines technology and human behavior.
🦾Who We Are
The Chair for Strategy and Organization is a hub for impactful research. Our focus spans a wide array of future-shaping topics, from Agile Organizations to Digital Disruption. With a strong foundation in entrepreneurship and venture capital, we are at the cutting edge of research that matters.
🎯 Goals
Your goal is to become an expert in the field of algorithm aversion. This is not just about academic exploration; it's about creating work that influences real-world practices and decisions. Your thesis will contribute significantly to our understanding of how to effectively integrate algorithms in various sectors.
🎓 Readings
You don’t know what a structured literature review is - take a look here:
- Webster, J., & Watson, R. T. (2002). Analyzing the past to prepare for the future: Writing a literature review. MIS quarterly, xiii-xxiii.
For a solid foundation about algorithm aversion, dive into this essential reading:
- Mahmud et al. (2022). This comprehensive study provides invaluable insights into the causes of algorithm aversion and potential interventions.
You don’t know what a meta-analysis is - take a look here:
- Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2011). Introduction to meta-analysis. John Wiley & Sons.
Please also take a close look into our thesis seminar: https://www.tumcso.com/teaching/courses/courses/thesis-seminar
(2. Materials about the (empirical) research process → Academic papers & materials → Systematic literature review)
📝 How to Apply
If you are interested, please contact Andrea Capogrosso by submitting your CV and grade report. Please also briefly outline your motivation to join our team and why you’re interested in this topic. Be aware, that you need to become an expert in your respective field and it is a 6-month full-time job.
This is a unique opportunity to contribute to a field that bridges technology and human psychology, and we're excited to see what you will bring to our team!
📬 Contact
Andrea Capogrosso (Chair for Strategy and Organisation)
👉 andrea.capogrosso@tum.de