Ning Su

Ning Su is an Adjunct Associate Professor in the Department of Technology, Operations and Statistics at the Leonard N. Stern School of Business, New York University, where he has been affiliated since 2017. He previously served as a Visiting Associate Professor of Information, Operations and Management Sciences.

Education:

• Ph.D. in Information Systems, New York University Stern School of Business
• M.S. in Computer Science, University of Toronto
• B.S. in Computer Science, Fudan University

Professor Su specializes in global innovation, sourcing strategies, and qualitative research methods. His research investigates how organizations and markets evolve in the context of digitization and globalization, drawing on in-depth case studies across financial services, technology, consulting, manufacturing, and creative industries in regions spanning the Americas, Europe, the Middle East, Africa, and Asia Pacific.

His recent scholarly work, published in leading journals such as MIS Quarterly and MIT Sloan Management Review, reflects a thematic focus on digital transformation, cross-border innovation, and strategic adaptation in global firms. These publications emphasize qualitative methodologies and real-world implications for management practice.

Scientific Awards:

• Poets & Quants’ 40 Most Outstanding Business School Professors Under 40
• Inaugural Early Career Award, Association for Information Systems
• Giarratani Rising Star Award Runner-up, Industry Studies Association
• Best Article Award, Decision Sciences Institute
• IBM Global Research Best Article Award
• Early Career Impact Award, Ivey Business School
• Teaching Awards and Commendations at Ivey and NYU Stern

Professor Su has advised a portfolio of multinational corporations as well as public and not-for-profit organizations. He has taught in major academic programs across Canada, China, Denmark, and at Cornell University, demonstrating broad international engagement in both research and teaching. While no formal grants are listed, his applied research and advisory roles suggest active industry collaboration and potential grant-supported work.

Though not explicitly mentioned, his research profile implies involvement in qualitative research initiatives and cross-disciplinary projects, likely contributing to broader academic and practitioner communities through workshops, case development, and thought leadership.