Yingjie Zhang

I am an Associate Professor of Marketing at Guanghua School of Management, Peking University. I received my Ph.D. in Information Systems and Management from Carnegie Mellon University in 2018 and a dual bachelor's degree in Computer Science and Economics from Tsinghua University in 2013.

Recently, I have become particularly interested in agent-native social science, which I see as an increasingly important research frontier as AI agents reshape social and economic interactions and how social science research is (should be) conducted. I have long studied human-AI collaboration, and I also work on user behavior across channels and FinTech. Methodologically, I combine econometrics, structural modeling, machine learning, and field experiments.

Publications  Notes: * Equal contribution; † Students when the project was initiated

[20] Decision Science in the Agentic Era: Research Frontiers on Agentic AI and Human-Agent Collaboration.

Yingjie Zhang and Tianshu Sun. Decision Sciences. Published online. (2026)

[19] The Impacts of Influencer Private Labels on Non-Private-Label Products: Evidence from Douyin Live Streaming.

Xiaofen Wang† and Yingjie Zhang (2026). Journal of Marketing Science. Accepted (in Chinese)

[18] Synthetic Imagery, Real Decisions: Bridging Consumer Minds and Review Behavior with Large Language Models.

Keyi Jiang† and Yingjie Zhang. Fundamental Research. Published online. (2026)

[17] The Power of Disagreement: A Field Experiment to Investigate Human-Algorithm Collaboration in Loan Evaluations.

Hongchang Wang, Yingjie Zhang, and Tian Lu. Management Science 72(1):96-118, 2026.

[16] Omnificence or Differentiation? An Empirical Study of Knowledge Structure and Career Development of IT Workers.

Yingjie Zhang, Zhiqiang (Eric) Zheng, and Bin Gu. Information Systems Research 36(2):1129-1146, 2025.

[15] 1+1>2? Information, Humans, and Machines. 

Tian Lu* and Yingjie Zhang*. Information Systems Research 36(1): 394-418, 2025. 

[14] Governance Challenges and Opportunities of Marketing Technology in the Digital-Intelligence Era: Literature Review and Research Outlook.

      Qiaowei Shen, Yingjie Zhang, Yilin Li, Chong (Alex) Wang, and Hongju Liu. Quarterly Journal of Economics and Management 4(2):133-166, 2025. (in Chinese)

[12] Social Media Meets FinTech Platforms: How Do Online Emotions Support Credit Risk Decision-Making?

      Zenan Zhou, Zhichen Chen†, Yingjie Zhang, Tian Lu, and Xianghua Lu. Decision Support Systems 114471, 2025.

[12] The Effect of Anthropomorphism in Audiobooks on Consumer Behavior Using Machine Learning Algorithms.

      Ning Wan†, Baixu Liu†, and Yingjie Zhang. Journal of Marketing Science 5(2):20-39, 2025. (in Chinese)

[11] The Higher Risk, The Higher Price? A Theoretical and Empirical Analysis of Pricing Strategy Effectiveness in P2P Lending Platforms.

Dingwei Gu, Tian Lu, Yingjie Zhang, and Pinliang Luo. International Journal of Electronic Commerce 29(1):155–182, 2025.

[10] Last Digit Tendency: Lucky Numbers and Psychological Rounding in Mobile Transactions. 

Hai Wang*, Tian Lu*, Yingjie Zhang*, Yue Wu*, Yiheng Sun, Jingran Dong, and Wen Huang.  Fundamental Research 5(1): 370-378, 2025.

[9] Individual Sellers' Social Media Participation and Sales Performance in Peer-to-Peer Marketplaces: Evidence from a Quasi-Natural Experiment.

Siliang (Jack) Tong, Yingjie Zhang, Gordon Burtch, and Zhijie Lin. Production and Operations Management 34(6): 1549–1568 (2024).

[8] Frontiers: Pirating Foes or Creative Friends? Effects of User-Generated Condensed Clips on Demand for Streaming Services.  

Guangxin (Alan) Yang†, Yingjie Zhang, and Hongju Liu. Marketing Science 43(3): 469-478, 2024 (Lead Article). 

[7] Profit vs. Equality? The Case of Financial Risk Assessment and A New Perspective of Alternative Data. 

Tian Lu, Yingjie Zhang, and Beibei Li. Management Information Systems Quarterly 47(4): 1517-1556, 2023.

[6] Ridesharing and Digital Resilience for Urban Anomalies: Evidence from the New York City Taxi Market. 

Yingjie Zhang, Beibei Li, and Zhen (Sean) Qian. Information Systems Research 34(4): 1775-1790, 2023. 

[5] Consumption Behavior and Credit Default: Empirical Analyses Based on Self-regulation Theory.  

Yue Wu†,  Yingjie Zhang, Tian Lu, Yunjie Xu, and Yiheng Sun. Quarterly Journal of Economics and Management 2(2): 97-128, 2023. (in Chinese)

[4] Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers. 

Yingjie Zhang, Beibei Li, and Ramayya Krishnan. Information Systems Research 31(4): 1301-1321, 2020. 

[3] Personalized Mobile Targeting with User Engagement Stages: Combining Structural Forward-Looking Hidden Markov Model and Field Experiment. 

Yingjie Zhang, Beibei Li, Xueming Luo, and Xiaoyi Wang. Information Systems Research 30(3): 787-804, 2019. 

[2] Using Online Geotagged and Crowdsourced Data to Understand Human Offline Behavior in the City: An Economic Perspective. 

Yingjie Zhang, Beibei Li, and Jason Hong. ACM Transactions on Intelligent Systems and Technology 9(3), 32, 2018.

[1] The Impact of Car Specifications, Prices and Incentives For Battery Electric Vehicles in Norway: Choices of Heterogeneous Consumers. 

Yingjie Zhang, Sean Qian, Frances Sprei, and Beibei Li. Transportation Research Part C 69: 386-401, 2016.

Selected Working Papers/Projects

Visioning Human-Agentic AI Teaming: Continuity, Tension, and Future Research. 

Bowen Lou*, Tian Lu*, T. S. Raghu*, and Yingjie Zhang*

From Signal to Noise: How Widespread LLM Usage Transforms Evaluator Effort and Credit Screening Outcomes?

Paramveer Dhillon*, Yi Gao*, Tian Lu*, and Yingjie Zhang* 

Agents for Experiments, Experiments for Agents: A Design Grammar for AI-Enabled Experimental Science.

Yingjie Zhang, Chun Feng†, Weizhang Zhu†, and Tianshu Sun

A Diagnostic Framework for AI Agent Behavior.

Xichen Zhang, Yingjie Zhang, and Tianshu Sun. 

Beyond the Safety Promise: An Empirical Study of Autonomous Vehicle Externalities in California.

Xiaoxiao Wang†, Yingjie Zhang, and Jinyang Zheng

From Search to Generation: How Generative AI Reshapes Marketing Outcomes.

Xincheng Ma†, Yingjie Zhang, and Dongwon Lee

Revisiting Mobile Effects: Interdependent Decisions in High-Stakes Platforms.

Sihan Fang†, Hyeokkoo Eric Kwon, Tian Lu, and Yingjie Zhang

Selected Funds and Awards

Young Scientists Fund (A Class), the National Natural Science Foundation of China (2027-2031)

INFORMS ISS Sandra A. Slaughter Early Career Award (2025)

INFORMS eBusiness Section Best Paper Award (2025)

INFORMS ISS Bapna-Ghose Social Justice Best Paper Award (2025)

Wu Jiapei Award, China Information Economics Society (2024)

INFORMS Information Systems Society (ISS) Clusters Best Paper Award Shortlisted  (2023)

Best Published Paper Runner-up in 2020 for the Information Systems Research Journal (2021)

Best Conference Paper Award, International Conference on Information Systems (ICIS) (2019)

INFORMS ISS Nunamaker-Chen Dissertation Award (2019)

Best Student Paper Award, Workshop on Information Systems and Economics (WISE) (2017)

Teaching

I teach Machine Learning and Artificial Intelligence (undergraduate core), Machine Learning and Social Science Research (Ph.D. seminar), Marketing Management and Customer Value (Master core), Marketing Management (MBA core), and Artificial Intelligence-Driven Business Practices: Applications and Future Trends (MBA elective).

Service

- Senior Editor, Decision Sciences Special Issue on "Decisions in the Agentic Era: Toward Agent-Native Decision Science" (2026)

- Associate Editor, Decision Sciences (Jan 2026 till now)

- Associate Editor, MIS Quarterly (Jan 2025 till now)

- Associate Editor, MIS Quarterly Special Issue on AI-IA Nexus

- Editorial Review Board, Information Systems Research (Jan 2023 - Dec 2024)

- 专业主编, 营销科学学报 (2024 till now)

- 青年编委, Fundamental Research (2024 till now)

Last updated in August 2026