Yang Gao
Assistant Professor of Business Administration
Listings
Educational Background
- Ph.D., Information Systems, Simon Business School, University of Rochester, 2021
- B.S., Information Systems, College of Management and Economics, Tianjin University, 2015
Positions Held
- Assistant Professor of Business Administration, Business Administration, University of Illinois at Urbana-Champaign, 2023 to present
Recent Publications
- Gao, Y., Zhang, M., & Rui, H. Forthcoming. Can Crowdchecking Curb Misinformation? Evidence from Community Notes. Information Systems Research.
- Gao, Y., Zhang, M., & Lysyakov, M. Forthcoming. Does Social Bot Help Socialize? Evidence from a Microblogging Platform. Information Systems Research.
- Gao, Y., Rui, H., & Sun, S. Forthcoming. The Power of Identity Cues in Text-Based Customer Service: Evidence from Twitter. MIS Quarterly, 47 (3), 983-1014.
- Gao, Y., Li, M., & Sun, S. (2023). Field experiments in operations management. Journal of Operations Management, Wiley, 69 (4), 676-701. link >
- Gao, Y., Duan, W., & Rui, H. (2022). Does Social Media Accelerate Product Recalls? Evidence from the Pharmaceutical Industry. Information Systems Research, Institute for Operations Research and the Management Sciences (INFORMS), 33 (3), 954-977. link >
Other Publications
Articles
- Sun, S., Gao, Y., & Rui, H. (2021). Does Active Service Intervention Drive More Complaints on Social Media? The Roles of Service Quality and Awareness. Journal of Management Information Systems, Taylor & Francis, 38 (3), 579--611.
Presentations
- Gokhale, S., Anand, G., Gao, Y., & Ghoshal, A. (2024). Impact of Supply Chain Cyberattacks on the Performance of Downstream Firms in the Supply Chain. Production and Operations Management.
Current Courses
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Business Analytics II (BADM 211) Builds on the foundation from the Business Analytics I (BADM 210), synthesizes concepts through hands-on application and project-based learning. Focuses on data acquisition, organization, analysis and visualization in a business setting. Expanding on the use of statistics in generating basic inferences to predictive modeling Identify opportunities for improving business decisions using data, conduct relevant analysis of the gathered and cleaned data, and finally, interpret and present analysis outcomes to decision makers. Using statistical tools and software applications to identify business problems, acquire relevant data, and generate analytic solutions using advanced analytics techniques and tools for generating insights. Introduces the students to analyzing, learning, and prediction using advanced analytics techniques and tools for generating business insights. This course will provide a practical introduction to various techniques regarding clustering, text mining, classification and decision trees, and time series analysis. Finally, the course will introduce advanced and emerging topics in predictive analytics.
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IT for Networked Organizations (BADM 350) Examines the information technology and its impact on modern organizations. Topics include: (1) IT, Internet Technologies, E-Commerce and business models, (2) organizing and modeling enterprise data, (3) Network protocol and architecture, (4) development of IT systems, and (5) IT management and organization design.
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Proseminar in IOSA (BADM 591) Lectures in topics of current interest not covered by regular course offerings. Subjects are announced in the Class Schedule.
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Proseminar in Operations Mgmt (BADM 591) Lectures in topics of current interest not covered by regular course offerings. Subjects are announced in the Class Schedule.