Quantitative Marketing

Si Zuo 左思

Assistant Professor of MarketingAntai College of Economics and Management, Shanghai Jiao Tong University

Biography

My research focuses on quantitative marketing and industrial organization. I study digital platforms, online retailing, recommendation systems, and rating algorithms, using empirical, computational, and theoretical methods to understand how markets and algorithms shape consumer and firm behavior.

In Fall 2026, I will teach International Marketing (跨国市场营销) and Digital Economics (数字经济) at SJTU Antai.

Research Interests

Substantive areas: digital platforms, personalization, online retailing, recommendation systems, rating design.

Methods: causal inference, machine learning, reinforcement learning, structural models, and game theory.

Background

Education

PhD in Economics

SC Johnson Graduate School of Management & Economics Department, Cornell University

MSc in Economics

Hong Kong University of Science and Technology

BSc in Economics

Sun Yat-sen University

Selected Research

Working Papers

Conceptual illustration of a user inside a recommendation feedback loop
01Minor Revision at Marketing Science

Personalization, Algorithmic Dependence, and Learning

with Omid Rafieian

How personalized recommendations shape algorithmic dependence and consumer learning over time.

Conceptual illustration of a price signal building platform reputation
02Covered by South China Morning Post

Price Signaling and Reputation Building: Evidence from a Service Platform

with Yangguang Huang, Chenyang Li, and Shuo Zhang

How experts use prices as signals of ability and build reputation on a service platform.

Conceptual illustration connecting an online storefront with a shopping mall
03Working paper

Online Store Opening: Heterogeneous Effects and Implications for Shopping Malls

with Yangguang Huang and Chenyang Li

How opening online stores reshapes brand performance and the tenant mix of shopping malls.

Conceptual illustration of customer traffic flowing among nearby stores
04Working paper

Traffic Generation or Business Stealing? Nearby-Store Sales Responses to Online Promotions

with Xiao Xin Chen, Chenyang Li, and Tianli Xia

When online promotions generate local demand—and when they redirect business from nearby stores.

Conceptual illustration of detailed ratings compressed into coarse levels
05Working paper

Coarse Ratings on Online Platforms

How coarse rating scales alter strategic behavior and the information available on platforms.

Courses

Teaching

International Marketing 跨国市场营销

Shanghai Jiao Tong University

Graduate elective course · 2 credits · English instructionPDF syllabus ↗

Digital Economics 数字经济

Shanghai Jiao Tong University

MIB specialized advanced course · 2 credits · English instructionPDF syllabus ↗

Special Topics in Marketing Modeling

Shanghai Jiao Tong University

Graduate elective course

Industrial Organization, Consulting and Business Strategy

Cornell University

MBA elective · Course designer · Evaluations 4.5/5 and 4.4/5

Marketing Management

Cornell University

Undergraduate Business Minor · Evaluation 4.7/5

Updates

Recent News

Teaching

Fall 2026 course syllabi are now available for International Marketing (跨国市场营销) and Digital Economics (数字经济).

View courses and syllabi
Journal

Personalization, Algorithmic Dependence, and Learning received a Minor Revision at Marketing Science.

Award

Received an Outstanding Paper Award with Research Grant from the Chinese Marketing Association of Universities.

Conference

Presented Personalization, Algorithmic Dependence, and Learning at the Chinese Marketing Association of Universities Annual Conference in Dalian.

Award

Received the Best Outstanding Paper Award at the Asia-Pacific Marketing Academy Annual Conference.

Beyond the Paper

Media & Outreach