Research

My research leverages empirical data to study the societal and economic impact of emerging phenomena fueled by technology innovations in online platforms, including e-commerce, social media, gig economy, and digital health platforms.

Beyond empirical research, I have a deep interest in developing methodologies to address common statistical challenges facing empirical researchers, such as sample selection in panel count data and endogeneity of mediators in mediation analysis. Lately, my research on methodology has been dedicated to exploring the opportunities and challenges of applying machine learning in causal inference.

Journal Publications

Hongfei Li, Jing Peng, Gang Wang, and Xue Bai (2024) The Impact of Process- vs. Outcome-Oriented Reviews on the Sales of Healthcare Services. Information Systems Research, 35(4):1909-1927.
Jing Peng and Christophe Van den Bulte (2024) Participation vs. Effectiveness in Sponsored Tweet Campaigns: A Quality-Quantity Conundrum. Management Science, 70(11):7345-8215.
Jing Peng and Chen Liang (2023) On the Differences Between View-Based and Purchase-Based Recommender Systems. MIS Quarterly, 47(2):875-900.
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.
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.
Jing Peng (2023) Identification of Causal Mechanisms from Randomized Experiments: A Framework for Endogenous Mediation Analysis. Information Systems Research, 34(1):67-84.
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.
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.
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.
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.
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.
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.

Zhuoyan Li, Chen Liang, Jing Peng, and Ming Yin. How Does the Disclosure of AI Assistance Affect the Perceptions of Writing? The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024, top CS conference in Natural Language Processing)
Zhuoyan Li, Chen Liang, Jing Peng, and Ming Yin. The Value, Benefits, and Concerns of Generative AI-Powered Assistance in Writing. The 2024 ACM CHI Conference on Human Factors in Computing Systems (CHI 2024, top CS conference in Human-Computer Interaction)
Jing Peng, Daniel Zeng, Huimin Zhao, and Fei-Yue Wang. Collaborative Filtering in Social Tagging Systems Based on Joint Item-Tag Recommendations. The 19th ACM International Conference on Information and Knowledge Management (CIKM 2010, top CS conference in Data Mining and Information Retrieval)

Jing Peng. Machine Learning for Instrumental Variable Regression: From Bias to Resilience. Under Revision.
Chen Liang, Jing Peng, Zhuoyan Li, and Ming Yin. The Valuation of Generative AI in Content Creation: Evidence from Gig Workers. Under Revision.
Huiyan Chen, Hongfei Li, Jing Peng, and Ramesh Shankar. Impact of Refundability on Sales of Digital Knowledge Products: The Moderating Role of Product Characteristics. Under Revision.
Tong Shen, Chen Liang, Jing Peng, Mengcheng Guan, and Jianbin Li. Breaking the Stigma: The Role of AI in Drug Purchases for Sensitive Health Conditions. Under Revision.
Zishun Qian, Jing Peng, and Jianbin Li. The Impact of Generative AI Announcements on Suppliers: Evidence from the Stock Market. Under Revision.
Ning Wang, Jing Peng, Raghuram Iyengar, Mengcheng Guan, and Jianbin Li. Unboxing Privacy: How Discreet Packaging Shapes Consumer Purchases?. Under Review.