Zemin (Zachary) Zhong - 钟泽民
Associate Professor of Marketing
Rotman School of Management
University of Toronto
Email: [email protected]
Phone: +1-416-946-3124
Address: Room 5078, 105 St George Street, Toronto, ON, M5S 3E6
My research examines a wide range of substantive topics in digital marketing, including LLM-based AI shopping assistant, algorithmic targeting, platform search and recommendation systems, review systems, and push notifications. Many involve behavioral phenomena such as consumer left-digit bias and limited attention. I am also interested in the intersection of marketing with political and development economics, such as e-commerce trade and place-based policies, as well as the role of social and historical factors in household purchase decisions. Methodologically, I use both applied theory and a combination of natural and field experiments and modern causal-inference approaches applied to large-scale field data, often in collaboration with industry partners such as Alibaba and Ctrip.
At Rotman, I teach Pricing at the MBA, executive, and undergraduate levels, as well as Principles of Marketing, and have received multiple Rotman Teaching Awards for my work in the classroom. In addition to research and teaching, I contribute to the profession through editorial and reviewing activities, including serving as Associate Editor of Marketing Science and acting as a regular referee and grant reviewer for leading journals and funding agencies in marketing, economics, and related fields.
Rotman School of Management
University of Toronto
Email: [email protected]
Phone: +1-416-946-3124
Address: Room 5078, 105 St George Street, Toronto, ON, M5S 3E6
- During my sabbatical year 2025-26, I am a Visiting Associate Professor at The City University of Hong Kong.
My research examines a wide range of substantive topics in digital marketing, including LLM-based AI shopping assistant, algorithmic targeting, platform search and recommendation systems, review systems, and push notifications. Many involve behavioral phenomena such as consumer left-digit bias and limited attention. I am also interested in the intersection of marketing with political and development economics, such as e-commerce trade and place-based policies, as well as the role of social and historical factors in household purchase decisions. Methodologically, I use both applied theory and a combination of natural and field experiments and modern causal-inference approaches applied to large-scale field data, often in collaboration with industry partners such as Alibaba and Ctrip.
At Rotman, I teach Pricing at the MBA, executive, and undergraduate levels, as well as Principles of Marketing, and have received multiple Rotman Teaching Awards for my work in the classroom. In addition to research and teaching, I contribute to the profession through editorial and reviewing activities, including serving as Associate Editor of Marketing Science and acting as a regular referee and grant reviewer for leading journals and funding agencies in marketing, economics, and related fields.