The Department of Strategy and Management invites you to a faculty seminar with Assitant Professor Jonas Hammerschmidt.
Abstract
This interactive Wednesday seminar presents two ongoing AI-based research projects. The first uses large language models to analyze the methods of 9,000 articles from the top ten entrepreneurship journals (since 2000), highlighting how an iterative scripting approach can outperform traditional analyses—even when conducted by a non-programmer. The second project applies institutional theory to examine how varying pressures (coercive, mimetic, normative) shape strategic decision-making in different large language models (ChatGPT, Gemini, Claude, Grok, DeepSeek, etc.). We explore responses ranging from acquiescence to manipulation, including ethical implications under different pressure levels. Both studies illustrate the evolving capabilities of AI in research methodology and strategy, offering a transparent look into each stage of our work-in-progress investigations.