معرفی
Jing Gong is an Associate Professor at the University of Virginia's McIntire School of Commerce, specializing in the Information Technology & Innovation Area. She holds a Ph.D. in Information Systems and Management from Carnegie Mellon University and a Bachelor's degree from Tsinghua University. Previously, she served on faculty at Lehigh University and Temple University.
Her research employs econometric modeling, Bayesian statistics, and field experiments to analyze digital markets. Core interests include:
- Economics of peer-to-peer platforms and online labor markets
- Digital marketing effectiveness and advertising strategies
- Policy impacts on technology adoption (e.g., EV subsidies, STEM visas)
- Crowdfunding mechanisms and startup financing
Her 50+ publications demonstrate consistent focus on digital market efficiencies, with recent work exploring ridesharing economics, search advertising, and IT workforce policy impacts. Methodologically, she combines text analytics with causal inference techniques to study platform design and consumer behavior.
Awards & Honors:
- INFORMS ISS Bapna-Ghose Social Justice Best Paper Award (2024)
- UVA Student Council Teaching Award (2023)
- Best Student Paper - CIST 2014
- Best Paper Nomination - CSWIM 2015
She teaches business analytics courses and maintains an active research program with no indications of part-time status or retirement.
