Research

My research primarily uses empirical data to study the social and economic impact of emerging phenomena driven by technology innovations in online platforms, such as social media, e-commerce, gig economy, and digital health platforms. In addition to empirical research, I also have a keen interest in developing novel econometric methods to address common challenges facing empirical researchers, such as the endogeneity problem in mediation analysis and the attribution problem in marketing campaigns. My research interests lie in the following areas:

• E-Commerce
• Social Media
• Gig Economy
• Digital Health
• Econometric Methods

Publications

1. Jing Peng and Chen Liang (2023) On the Differences Between View-Based and Purchase-Based Recommender Systems. MIS Quarterly, 47(2):875-900.
2. Chen Liang, Jing Peng, YiliHong, and Bin Gu (2023) The Hidden Costs and Benefits of Monitoring in the Gig Economy. Information Systems Research, 34(1):297-318.
3. Hongfei Li, Jing Peng, Xinxin Li, and Jan Stallaert (2023) When More Can Be Less: The Effect of Add-on Insurance on the Consumption of Professional Services. Information Systems Research, 34(1):363-382.
4. Jing Peng (2023) Identification of Causal Mechanisms from Randomized Experiments: A Framework for Endogenous Mediation Analysis. Information Systems Research, 34(1):67-84.
5. Jing Peng, Julie Zhang, and Ram Gopal (2022) The Good, the Bad, and the Social Media: Financial Implications of Social Media Reactions to Firm-Related News. Journal of Management Information Systems, 39(3): 706-732.
6. Yili Hong, Jing Peng, Gordon Burtch, and Ni Huang (2021) Just DM Me (Politely): Direct Messaging, Politeness, and Hiring Outcomes in Online Labor Markets. Information Systems Research, 32(3): 675-1097.
7. Shu He, Jing Peng, Jianbin Li, and Liping Xu (2020) Impact of Platform Owner’s Entry on Third-Party Stores. Information Systems Research, 31(4): 1467-1484.
8. Jing Peng, Ashish Agarwal, Kartik Hosanagar, and Raghuram Iyengar (2018) Network Overlap and Content Sharing on Social Media Platforms. Journal of Marketing Research, 55(4), p. 571-585.
9. Zhu Zhang, Daniel Zeng, Ahmed Abbasi, Jing Peng, and Xiaolong Zheng (2013) A Random Walk Model for Item Recommendation in Social Tagging Systems. ACM Transactions on Management Information Systems, 4(2): 1-24.
10. Jing Peng, Daniel Zeng, and Zan Huang (2011) Latent Subject-centered Modeling of Collaborative Tagging: An Application in Social Search. ACM Transactions on Management Information Systems, 2(3): 1-23.

Selected Working Papers

• Jing Peng and Christophe Van den Bulte. Participation vs. Effectiveness in Sponsored Tweet Campaigns: A Quality-Quantity Conundrum. Minor Revision at Management Science.
• Hongfei Li, Jing Peng, Gang Wang, and Xue Bai. The Impact of Process- Versus Outcome-Oriented Reviews on the Sales of Healthcare Services. Under Revision for 4th Round Review at Information Systems Research.
• Huiyan Chen, Jing Peng, Hongfei Li, and Ramesh Shankar. Impact of Refund Policy on Sales of Paid Information Services: The Moderating Role of Product Characteristics. Reject & Resubmit at Information Systems Research.
• Tong Shen, Chen Liang, Jing Peng, Mengcheng Guan, and Jianbin Li. Impact of Medical AI on Drug Purchases. Under Review.
• Huiyan Chen, Jing Peng, Jan Stallaert, and Sulin Ba. The Value of Teamwork: Evidence from Crowdsourcing Contests. Under Review.