Research

Cunningham, C., Baik, R., Boussioux, L., Nageswaran, L. (2025). Agreeing to Disagree: AI Influence in Ethical Decision-Making. Major revision at Management Science. 

• Methods: Python-based LLM pipelines, prompt engineering, discrete choice models, multivariate regression, lab experiment design.   

Cunningham, C., Hwang, E., Nageswaran, L., Cho, S.-H. (2025). Channel Stickiness in Omnichannel Retail: Temporary Shifts or Lasting Changes? In preparation for submission. 

• Methods: Generalized synthetic controls, causal inference, time-series modeling, large-scale transaction data analysis (Python, R).  

Cunningham, C., Lee, S., Hwang, E., Li, K. (2026). Virtual Primary Care’s Uneven Relief of Emergency Departments. In preparation for submission. 

• Methods: Difference-in-differences in R, time-series analysis, demographic/market controls, healthcare utilization data.  

Cunningham, C., Boussioux, L., Baik, R., Nageswaran, L. (2026). Decision Making on Draft: Human-AI Collaboration in the Supply Chains. In preparation for submission.

• Methods: Python-based LLM pipelines, prompt engineering, multivariate regression, experiment design.   

Cunningham, C., Nageswaran, L. (2023–2026). Driver on Deck: Impact of Order Assignment in On-Demand Delivery Platforms. Working paper. 

• Methods: Survival analysis & heterogeneity analysis using R; Python-based simulation study.