Sang Pil Han

Sang Pil Han is an Associate Professor of Information Systems at Arizona State University's W. P. Carey School of Business. His research focuses on artificial intelligence, digital platforms, and business analytics, with notable contributions to premier journals like Management Science and Management Information Systems Quarterly. He has received grants from institutions such as the Marketing Science Institute, Wharton Customer Analytics Initiative, and Hong Kong General Research Fund.

Education:

• Ph.D., Korea Advanced Institute of Science and Technology (KAIST), 2008
• M.S., KAIST, 2002
• B.A., KAIST, 2000

Research Interests: His work spans AI applications, digital marketing, online platforms, and business intelligence, with a focus on understanding user behavior in mobile and digital ecosystems. Recent studies include disinformation spillover effects, online video consumption, and platform strategies for app adoption.

Publications: His top articles analyze topics like mobile app demand, loyalty apps, tablet commerce impact, and rational addiction to social apps. His work bridges academic and industry insights, often featuring empirical field experiments.

Awards: He has been recognized with teaching awards and grants totaling over US$200k, including the Outstanding Teaching Award (2017) and multiple industry-funded research grants.

Advising & Grants: Han advises startups like QANDA (60M+ users) and RoundIn, and leads the Master of Science in Business Analytics program at ASU. His grants include funding from Naver and Mathpresso, emphasizing industry-academia collaboration.

Labs/Teams: Collaborates with researchers on AI ethics, disinformation, and edtech, contributing to projects like AI-based education apps and service robot impact studies.