Nah Lee

Dr. Nah Lee studies the causal effect of online reviews on downstream demand and firm behavior. She focuses on service industries (restaurants/hotels/healthcare), where product offerings are multi-dimensional. Her studies aim to understand how consumers process information in text reviews and how this information affects firm demand, decisions, and competition.

In her recent work, she studies text reviews for service products, focusing on differential effect of information on firm demand. She also studies reviews in the healthcare sector, where she is interested in understanding hospital response behavior as well as policy implications. Dr. Lee has published in Journal of Marketing Research.

She mainly uses econometrics, causal modeling, and NLP/machine learning as an empirical researcher. She also uses analytical modeling (to link theory-driven research questions to data) and lab experiments (to reinforce research findings).

Research Interests

Online reviews, crowd-sourced data, machine learning and NLP

Education

• Ph.D. Duke University, Marketing (Quantitative, Empirical), 2022.
• M.S. Georgia Institute of Technology, Operations Management (PhD Coursework Completed), 2014.
• M.S. Columbia University, Operations Research, 2011.
• M.S. University of Virginia, Systems Engineering, 2010.