Topics: Digital Platforms, Artificial Intelligence, Social Media, Healthcare Analytics, Fintech
Methodologies: Econometrics, Machine Learning, Data Mining, Natural/Field Experiments
1. "Informal Payments and Doctor Engagement in an Online Health Community: An Empirical Investigation Using Generalized Synthetic Control," Qili Wang, Liangfei Qiu, and Wei Xu.
Information Systems Research (2024), 35(2), 706-726. (UTD 24, FT 50)
2. "Does Beauty Truly Matter? Examining the Impact of Beautiful Images in Service Operations Using Deep Learning Analytics," Hui Yuan, Wei Xu, Qili Wang, and Liangfei Qiu.
Production and Operations Management (2025), 34(7), 1663-1685. (UTD 24, FT 50)
3. "Unveiling the Cost of Free: How an Ad-Sponsored Model Affects Serialized Digital Content Creation," Kaiyu Zhang, Qili Wang, Liangfei Qiu and Nan Wang.
Information Systems Research (2025), 36(2), 962-982. (UTD 24, FT 50)
4. "Guardians of Tomorrow: Leveraging Responsible AI for Early Detection and Response to Criminal Threats," Xiaotong Sun, Qili Wang, Liangfei Qiu, and Wei Xu.
INFORMS Journal on Computing, Forthcoming. (UTD 24)
5. "Social Audience Size as a Reference Point: Evidence from a Field Experiment," Xingchen Xu, Qili Wang, Yizhi Liu, and Liangfei Qiu.
Management Science (2026), 72(5), 4298-4318. (UTD 24, FT 50)
6. "Interlopers or Catalysts? Dissecting the Impact of Incorporating AI Players on Multiplayer Online Games," Zhechao Yang, Qili Wang, and Liangfei Qiu.
Information Systems Research, Forthcoming. (UTD 24, FT 50)
7. "Identifying Purchase-Evoking Social Media Posts: A Theory-Driven Deep Multimodal Learning Framework," Zhechao Yang, Qili Wang, Liangfei Qiu, and Hsing Kenneth Cheng.
Production and Operations Management, Conditionally Accepted. (UTD 24, FT 50)
8. "Navigating the Sea of Reviews: Unveiling the Effects of Introducing AI-Generated Summaries in E-Commerce," Qili Wang, Yi Su, Liangfei Qiu, and Runyu Chen. Major Revision, Preparing for 3rd Round Review.
9. "Generative AI and Human Knowledge Sharing: Evidence from A Natural Experiment," Yi Su, Kaiyu Zhang, Qili Wang, and Liangfei Qiu (all authors contribute equally). Major Revision, Preparing for 2nd Round Review.
10. "Routine or Exploration? How Non-Personalized Recommendation Affects Consumers’ Variety-Seeking Behaviors," Hui Yang, Qili Wang, Xianghua Lu, and Liangfei Qiu. Under Review.
11. "Influencer Trading and Market Dynamics: Evidence from the NFT Market," Kaiyu Zhang, Qili Wang, Runyu Chen, and Liangfei Qiu. Under Review.
12. "Policing the Platform: Uncovering the Impact of Government Agencies’ Involvement in Online Platforms on Users' Voluntary Contributions," Jingyan Dai, Qili Wang, Shu He, and Liangfei Qiu. Major Revision, Preparing for 2nd Round Review.
13. "Do Masks Protect Children? Evidence from Ban on Mask Mandates in Florida and Implications for Public Health Operations," Qili Wang, Xinzhi Rao, and Liangfei Qiu. Under Review.
14. "Do the Blockchain's Scaling Solutions Work? An Empirical Analysis of SegWit Policy Change," Sailendra Mishra, Kaiyu Zhang, Qili Wang, Liangfei Qiu, and Subodha Kumar. Major Revision, Preparing for 3rd Round Review.
15. "Extracting Narratives in Live Streaming E-Commerce: A Compression-Enhanced LLM Approach," Runyu Chen, Yongxuan Wu, Qili Wang, Peiyu Liu, and Liangfei Qiu. Under Review.
16. "The Identity Tax: How Group Identity Disclosure Disproportionately Affects Online Discussions Across Hierarchies," Yizhi Liu, Qili Wang, Xingchen Xu, Wenying Gu, and Liangfei Qiu. Under Review.
17. "AI-Generated Summaries in Prediction Markets," Kaiyu Zhang, Yi Tong, Qili Wang, and Liangfei Qiu. Work-in-Progress.
1. "HOBA: A Novel Feature Engineering Methodology for Credit Card Fraud Detection with Deep Learning Architecture", Xinwei Zhang, Yaoci Han, Wei Xu, and Qili Wang. Information Sciences (2021), 557, 302-316.
2. "A Deep Multitask Learning Approach for Air Quality Prediction", Xiaotong Sun, Wei Xu, Hongxun Jiang, and Qili Wang. Annals of Operations Research (2021), 303, 51-79.
3. "Enhancing Intraday Stock Price Manipulation Detection by Leveraging Recurrent Neural Networks with Ensemble Learning", Qili Wang, Wei Xu, Xinting Huang, and Kunlin Yang. Neurocomputing (2019), 347, 46-58.
4. "Mining User Requirements to Facilitate Mobile App Quality Upgrades with Big Data", Runyu Chen, Qili Wang, and Wei Xu. Electronic Commerce Research and Applications (2019), 38, 100889.
5. "Combining the Wisdom of Crowds and Technical Analysis for Financial Market Prediction Using Deep Random Subspace Ensembles", Qili Wang, Wei Xu, and Han Zheng. Neurocomputing (2018), 299, 51-61.
6. "Spatio-temporal Prediction of Crop Disease Severity for Agricultural Emergency Management Based on Recurrent Neural Networks", Wei Xu, Qili Wang, and Runyu Chen. Geoinformatica (2018), 22, 363-381.