Daniel Kwasnitschka

Daniel Kwasnitschka is an Assistant Professor of Management Science at the Darla Moore School of Business, University of South Carolina. His research focuses on the behavioral implications of digitalization in manufacturing, leveraging technologies like wearables, IoT, AI, and virtual reality. He holds a Ph.D. from ETH Zurich (2024) and degrees from Karlsruhe Institute of Technology (B.Sc. 2017, M.Sc. 2020).

Education:

• Ph.D. in Management Science, ETH Zurich, Switzerland, 2024
• M.Sc. in Industrial Engineering and Management, Karlsruhe Institute of Technology, Germany, 2020
• B.Sc. in Industrial Engineering and Management, Karlsruhe Institute of Technology, Germany, 2017

Research Interests: Kwasnitschka investigates how new technologies influence worker behavior and operational KPIs in manufacturing. His work bridges academic theory with industrial practice, collaborating with companies like Mercedes, Audi, and BMW. Key themes include wearable technology adoption, AI-driven teaching methods, and feedback mechanisms in smart manufacturing environments.

Research Trends in Articles: His publications emphasize experimental approaches to digitalization challenges, exploring topics like smartwatch-based task assignment, AI-generated educational content, and immersive VR training. These studies highlight the dual focus on technological implementation and human behavioral outcomes in industrial settings.

Advising & Grants: No specific grants or advisees are listed. His collaborations primarily involve field experiments with industry partners.

Labs/Teams: Engaged with manufacturing innovation teams and digital technology adoption initiatives at the Darla Moore School of Business.