Topics: Digital Platforms, Artificial Intelligence, Social Media, Healthcare Analytics, Fintech
Methodologies: Econometrics, Machine Learning, Data Mining, Natural/Field Experiments
1. Qili Wang, Liangfei Qiu, and Wei Xu, "Informal Payments and Doctor Engagement in an Online Health Community: An Empirical Investigation Using Generalized Synthetic Control," Information Systems Research (2024), 35(2), 706–726. (UTD 24, FT 50)
2. Hui Yuan, Wei Xu, Qili Wang, and Liangfei Qiu, "Does Beauty Truly Matter? Examining the Impact of Beautiful Images in Service Operations Using Deep Learning Analytics," Production and Operations Management (2025), 34(7), 1663-1685. (UTD 24, FT 50)
3. Kaiyu Zhang, Qili Wang, Liangfei Qiu and Nan Wang, "Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation," Information Systems Research (2025), 36(2), 962-982. (UTD 24, FT 50)
4. Xiaotong Sun, Qili Wang, Liangfei Qiu, and Wei Xu, "Guardians of Tomorrow: Leveraging Responsible AI for Early Detection and Response to Criminal Threats," INFORMS Journal on Computing, Forthcoming. (UTD 24)
5. Xingchen Xu, Qili Wang, Yizhi Liu, and Liangfei Qiu, "Social Audience Size as a Reference Point: Evidence from a Field Experiment," Management Science, Forthcoming. (UTD 24, FT 50)
6. Qili Wang, Yi Su, Liangfei Qiu, and Runyu Chen, "Navigating the Sea of Reviews: Unveiling the Effects of Introducing AI-Generated Summaries in E-Commerce," Major Revision, Preparing for 3rd Round Review at Information Systems Research.
7. Zhechao Yang, Qili Wang, and Liangfei Qiu, "Interlopers or Catalysts? Dissecting the Impact of Incorporating AI Players on Multiplayer Online Games," Major Revision, Under 4th Round Review at Information Systems Research.
8. Yi Su, Kaiyu Zhang, Qili Wang, and Liangfei Qiu (all authors contribute equally), "Generative AI and Human Knowledge Sharing: Evidence from A Natural Experiment," Under Review at Production and Operations Management.
9. Hui Yang, Qili Wang, Xianghua Lu, and Liangfei Qiu, "Routine or Exploration? How Non-Personalized Recommendation Affects Consumers’ Variety-Seeking Behaviors," Major Revision, Preparing for 2nd Round Review at Information Systems Research.
10. Kaiyu Zhang, Qili Wang, Runyu Chen, and Liangfei Qiu, "Influencer Trading and Market Dynamics: Evidence from the NFT Market," Major Revision, Preparing for 2nd Round Review at Information Systems Research.
11. Zhechao Yang, Qili Wang, Liangfei Qiu, and Hsing Kenneth Cheng, "Identifying Purchase-Evoking Social Media Posts: A Theory-Driven Deep Multimodal Learning Framework," Major Revision, Preparing for 2nd Round Review at Production and Operations Management.
12. Jingyan Dai, Qili Wang, Shu He, and Liangfei Qiu, "Policing the Platform: Uncovering the Impact of Government Agencies’ Involvement in Online Platforms on Users' Voluntary Contributions," Major Revision, Preparing for 2nd Round Review at Information Systems Research.
13. Qili Wang, Xinzhi Rao, and Liangfei Qiu, "Do Masks Protect Children? Evidence from Ban on Mask Mandates in Florida and Implications for Public Health Operations," Under Review at Manufacturing & Service Operations Management.
14. Sailendra Mishra, Kaiyu Zhang, Qili Wang, Liangfei Qiu, and Subodha Kumar, “Do the Blockchain’s Scaling Solutions Work? An Empirical Analysis of SegWit Policy Change,” Major Revision, Preparing for 2nd Round Review at MIS Quarterly.
15. Runyu Chen, Yongxuan Wu, Qili Wang, Peiyu Liu, and Liangfei Qiu, “Extracting Narratives in Live Streaming E-Commerce: A Compression-Enhanced LLM Approach,” Under Review at Management Science.
1. Xinwei Zhang, Yaoci Han, Wei Xu, and Qili Wang, "HOBA: A Novel Feature Engineering Methodology for Credit Card Fraud Detection with Deep Learning Architecture", Information Sciences (2021), 557, 302-316.
2. Xiaotong Sun, Wei Xu, Hongxun Jiang, and Qili Wang, "A Deep Multitask Learning Approach for Air Quality Prediction", Annals of Operations Research (2021), 303, 51-79.
3. Qili Wang, Wei Xu, Xinting Huang, and Kunlin Yang, "Enhancing Intraday Stock Price Manipulation Detection by Leveraging Recurrent Neural Networks with Ensemble Learning", Neurocomputing (2019), 347, 46-58.
4. Runyu Chen, Qili Wang, and Wei Xu, "Mining User Requirements to Facilitate Mobile App Quality Upgrades with Big Data", Electronic Commerce Research and Applications (2019), 38, 100889.
5. Qili Wang, Wei Xu, and Han Zheng, "Combining the Wisdom of Crowds and Technical Analysis for Financial Market Prediction Using Deep Random Subspace Ensembles", Neurocomputing (2018), 299, 51-61.
6. Wei Xu, Qili Wang, and Runyu Chen, "Spatio-temporal Prediction of Crop Disease Severity for Agricultural Emergency Management Based on Recurrent Neural Networks", Geoinformatica (2018), 22, 363-381.