Rongen "Sophia" Zhang

Professional Summary

Sophia Zhang is an assistant professor of Business Analytics in the Department of Information Systems and Business Analytics. As a first-generation college student in her family, she is grateful for the opportunity to pursue higher education and blessed to have the opportunity to pursue her calling as an educator and researcher. She received her PhD in Computer Information Systems from Georgia State University. Her research focuses on the impact of emerging technologies on organizations and individuals, such as blockchain governance issues and responsible AI.  

Her research has been published in influential outlets, such as Information Systems Journal, Journal of Medical Internet Research, ACM Transactions on Management Information Systems, and Frontiers in Neurosciences. In addition, her research has been presented at the Conference on Information Systems Technology, the Business Blockchain Technology Conference, Informs Annual Meetings, the Multidisciplinary International Symposium on Disinformation in Open Online Media, the Blockchain eWorkshop of the European Conference of Information Systems, and the International QCA Paper Development Workshop.  

Outside the academic sphere, she and her husband are actively involved in the college student ministry of the Waco Chinese Church. In her spare time, she enjoys hiking, leisure reading and occasional painting. 

Education

• 2022 – PhD, Computer Information Systems, Georgia State University, Atlanta, Georgia
• 2018 – BA, Information Systems and Information Management, Harbin Institute of Technology, Harbin, China

Courses

• MIS 4344 - Business Intelligence
• MIS 5342 - Business Intelligence

Research Interests

• Blockchain governance
• Blockchain decentralization
• Cryptocurrency-based incentives
• Explainable AI
• Responsible AI

Selected Publications

• Zhang, R. S., & Ramesh, B. (2023). A configurational perspective on design elements and user governance engagement in blockchain platforms. Information Systems Journal.
• Ellis, C., Sendi, M., Zhang, R., Carbajal, D., Wang, D., Miller, R., Calhoun. V. (2023) "Novel methods for elucidating modality importance in multimodal electrophysiology classifier" Frontiers in Neuroinformatics
• Werder, K., Ramesh, B., & Zhang, R. (2022). Establishing Data Provenance for Responsible Artificial Intelligence Systems. ACM Transactions on Management Information Systems (TMIS), 13(2), 1-23.
• Zhang, R., Park, J., Ciriello, R., & Thatcher, J. B. (2021). Digital Class Struggle? Incentivizing User Engagement in a Blockchain-based Online Community. The proceedings of the 3rd Multidisciplinary International Symposium on Disinformation in Open Online Media; The Oxford Internet Institute
• Zhang, R., George, A., Kim, J., Johnson, V., & Ramesh, B. (2019). Benefits of blockchain initiatives for value-based care: proposed framework. Journal of medical Internet research, 21(9), e13595.