I study how a firm's decisions in modern business environment are affected by various sources of uncertainties from the market with behavior-centric, data-driven, and field-based approach. My research projects span two main topics:
(1) improve the demand predictions by investigating the sources of uncertainty such as social learning of consumers and
(2) understand the behavioral biases and heuristics that affect human judgment and explore the interventions to improve them.
I mainly use statistical (econometrics or probabilistic modeling) and experimental (both lab and field) methods. Please request my CV via email.
Consumer Learning from Own Experience and Social Information: An Experimental Study (with Vishal Gaur and Andrew Davis), [Online Appendix], Management Science, 2020.
Assessing the impact of novelty and conformity on hesitancy towards COVID-19 vaccines using mRNA technology (with Ching Leong, Lawrence Jin, Jeongbin Kim, Yik Ying Teo and Teck-Hua Ho), Communications Medicine, 2022.
The effectiveness of a field observation exercise to learn process management (with Naser Nikandish and Rommel O. Salvador), Decision Sciences Journal of Innovative Education, 2022.
Predicting Mean and Variance in Inventory Order Decisions (with Li Chen and Andrew Davis), R&R, Decision Sciences.