PUBLICATION

JOURNAL PUBLICATIONS

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)

WORKING PAPERS

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, Under 2nd 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, Preparing for 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 Manufacturing & Service 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," Under 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," Under 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.

OTHER JOURNAL PUBLICATIONS BEFORE PURSUING PHD AT UF

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.

CONFERENCE PROCEEDINGS & PRESENTATIONS

Navigating the Sea of Reviews: Unveiling the Effects of Introducing AI-Generated Summaries in E-Commerce. China Summer Workshop on Information Management (CSWIM), Xi’an, China. June 2025.

Uncovering the Impact of Government Agencies’ Involvement on Users’ Voluntary Contributions. POMS Annual Conference, Atlanta, GA. May 2025.

App Store Restriction and Content Supply. POMS Annual Conference, Atlanta, GA. May 2025.

Influencer Trading and Market Dynamics: Evidence from the NFT Market. POMS Annual Conference, Atlanta, GA. May 2025.

Uncovering the Impact of Government Agencies’ Involvement in Online Platforms on Users’ Voluntary Contributions. Conference on Information Systems and Technology (CIST), Seattle, WA. October 2024.

Navigating the Sea of Reviews: Unveiling the Effects of Introducing AI-Generated Summaries in E-Commerce. Conference on Information Systems and Technology (CIST), Seattle, WA. October 2024.

Geotagged Echoes: Deciphering the Impact of Location Disclosure Policy on Online User Interactions. Conference on Information Systems and Technology (CIST), Seattle, WA. October 2024.

Uncovering the Impact of Government Agencies’ Involvement in Online Platforms on Users’ Voluntary Contributions. INFORMS Annual Meeting (CIST), Seattle, WA. October 2024.

Deciphering the Economic Value of Fashion Trends: Social Media Analysis Using Deep Multimodal Learning. POMS Annual Conference, Minneapolis, MN. April 2024.

Do Masks Protect Children? Evidence from Florida’s Mask Mandate Ban Using Large-Scale School Transmission Data. Hawaii International Conference on System Sciences (HICSS), Honolulu, HI. January 2024.

Routine or Exploration? How Personalization Opt-Out Affects Consumers’ Variety-Seeking Behaviors. Conference on Information Systems and Technology (CIST), Phoenix, AZ. October 2023.

Deciphering the Impact of Fashion Trends on Sales: Social Media Analysis using Deep Multimodal Learning. Conference on Information Systems and Technology (CIST), Phoenix, AZ. October 2023.

Geotagged Echoes: Deciphering the Impact of Location Disclosure Policy on Online User Interactions. INFORMS Annual Meeting, Phoenix, AZ. October 2023.

How Ad-Sponsored Strategy Affects Content Creation: Empirical Evidence from a Web Novel Platform. POMS Annual Conference, Orlando, FL. May 2023.

Do Masks Protect Children? Evidence from Ban on Mask Mandates in Florida. POMS Annual Conference, Orlando, FL. May 2023.

Social Attention as a Reference Point: Evidence from a Field Experiment. Conference on Information Systems and Technology (CIST), Indianapolis, IN. October 2022.

Informal Payments and Doctor Engagement in Online Health Community: An Empirical Investigation Using Generalized Synthetic Control. INFORMS Annual Meeting, Indianapolis, IN. October 2022.

Informal Payments and Doctor Engagement in Online Health Community: An Empirical Investigation Using Generalized Synthetic Control. INFORMS Annual Meeting, Anaheim, CA. October 2021.

Enhancing the Early Detection of Criminal Activities: An Internet of Things Enabled Paradigm. Workshop on Information Technologies and Systems (WITS), Virtual Conference. December 2020.

Informal Payments and Doctor Engagement in Online Health Community: An Empirical Investigation Using Generalized Synthetic Control. Conference on Information Systems and Technology (CIST), Virtual Conference. December 2020.

An Internet of Things Solution for Intelligence Security Management. International Conference on Information Systems (ICIS), Munich, Germany. December 2019.