Xinxue (Shawn) Qu is an Assistant Professor of IT, Analytics, and Operations at the Mendoza College of Business. His research focuses on developing analytical models and proposing system design solutions that guide business innovations and provide insights for policy makers. Under the unified theme of technology innovation management, his work focus on three main research areas: (1) diffusion of technological innovation, (2) competitive strategies in innovation management, and (3) economics of machine learning in innovation applications. To answer these questions, he is passionate about multi-method applications (e.g., economic modeling, game theory, optimization, econometrics, machine learning and deep learning) and interdisciplinary collaboration. His research has been published in top business journals such as MIS Quarterly, Production and Operations Management, and Decision Sciences.
Xinxue (Shawn) has a PhD in Information Systems from the Ivy College of Business at the Iowa State University, an MS degree in Software Engineering from Peking University, China, and a BS degree in Management Information Systems from University of International Business and Economics (UIBE), China.