Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management

1. 1Apply LLMs to published behavioral-operations experiments to assess their performance
2. 2Configure evaluation metrics to measure LLM-generated data against human-generated data
3. 3Run simulations to test LLMs' ability to replicate human behavior
4. 4Test LLMs' performance along multiple dimensions, including effect prediction and distribution reproduction
5. 5Analyze results to identify areas where LLMs excel or fall short in simulating human behavior

Data scientists and operations managers can benefit from understanding the capabilities and limitations of LLMs in simulating human behavior, enabling them to make informed decisions about their use in business and research settings

💡 LLMs can be a useful tool for simulating human behavior in operations management, but their performance varies depending on the task and evaluation metrics

🤖 LLMs can simulate human behavior in ops management, but how well? 📊 New research evaluates their performance 📈