Harvard Business School
Hong Luo is the James Dinan and Elizabeth Miller Associate Professor of Business Administration in the Strategy Unit. Her elective course – Good Strategies in Flawed Markets – provides a market-imperfection perspective on firm strategy. She also taught the Strategy course in the MBA required curriculum.
Professor Luo’s research centers on firms’ innovation incentives, their strategies in the market for innovative ideas, and managing intellectual property rights. An integral part of her research concerns the impacts of legal regimes and public policies – in particular, intellectual property regimes and tort liability system – on firms’ innovation activities. Professor Luo’s work has appeared in leading peer-reviewed journals including Management Science, Organization Science, Journal of Law and Economics, and Journal of Economics and Management Strategy.
Professor Luo currently serves as an Associate Editor at Management Science and is a member of the Editorial Board of Strategic Management Journal. Professor Luo received her Ph.D. in Economics from Stern School of Business, New York University, where she was a recipient of the Kauffman Dissertation Fellowship in Entrepreneurship Research. A native of China, she earned an MA in Economics from Beijing University and a BA in Finance from the Renmin University of China.
Yi Qian (UBC Sauder School of Business)
Yi Qian is an Associate Professor of Marketing and Behavioral Sciences at the Sauder School of Business, University of British Columbia, Canada. She is also a Research Associate at the NBER, U.S.A.. She holds B.A. in Economics, M.A. in Statistics, and Ph.D. in Economics all from Harvard University. Before joining UBC, she served as a faculty at the Kellogg School of Management and a research fellow at the Searle Center of Law and Economics and IPR, Northwestern University. Her substantive research is centered on the economics of innovation, intellectual property (IP), blockchain, and brand management against counterfeiting. He methodological research develops applied econometric methods to draw causal inferences, account for missing data, and correct for sampling biases.