Dr. Yueyue Zhang is an Assistant Professor in Management Science and Analytics at Nottingham University Business School (NUBS) China. She received her Ph.D. degree from the Department of Information Management and Business Intelligence, Fudan University. She was a visiting scholar at the Information Systems Department of Boston University in 2019. Her research focuses on the business value of information technology (IT), business analytics, and digital innovation. Her publications have appeared in Decision Support Systems, IEEE Transactions on Professional Communication, and Academy of Management Best Paper Proceedings (2021) (top 10%), among others. As for research methodology, Dr. Zhang is familiar with econometrics, machine learning, text mining, social network analysis, and survey. 

My research interests span two areas. First, I have been studying business value and various governance issues of employing information technologies (IT) in general. For instance, some of my research papers on this topic investigate how IT is related to innovation performance and employee misbehavior. Second, I'm interested in applying computational techniques such as machine learning models and network science models to empower managerial decision-making including innovation, investment, customer service, and supply chain management. Methodologically, my research is based on econometric analysis, analytics methods (e.g., machine learning and unstructured data analysis), network analysis, and survey.

Undergraduate

• Managing Operations in the Digital Enterprise
• The Digital Economy