Z. Eddie Ning

Z. Eddie Ning uses game-theoretic models, simulations and experiments to study consumer behavior and firm strategy.

In one stream of his research, he looks at how decision-makers should behave when they can acquire and process information continuously, and how marketing strategy should adapt when firms become more capable of predicting the preferences of individual consumers. Both areas contribute to the larger question of how recent advancements in emerging technologies, such as AI, affect firm behaviors, market competition and consumer welfare.

Dr. Ning also studies product labeling, inclusive product design, open-access publication and AI consumer agents. Collectively, his research provides implications for antitrust/competition, consumer protection and data-privacy regulations.

He teaches courses on market research, marketing analytics and the business applications of AI.

Dr. Ning is an associate editor at the Journal of Business Research and an editorial board member for Marketing Science.

He worked briefly as an antitrust consulting analyst for Charles River Associates on intellectual property and consumer protection litigations involving Facebook and Intel, and as a policy analyst for the Federal Reserve Bank of San Francisco on cash and cryptocurrency-related policies.

He serves as an expert witness on case related to consumer protection, digital advertising, IP infringement and false advertising.

Dr. Ning previously served on the faculty of the University of British Columbia and the Cheung Kong Graduate School of Business.

He received his PhD in Business Administration and his BA in applied mathematics and economics at the University of California, Berkeley.