Xiang (Shawn) Wan

Xiang (Shawn) Wan is an Assistant Professor in the Department of Information Systems and Analytics at the Leavey School of Business, Santa Clara University, Silicon Valley. His research investigates how emerging technologies like AI and blockchain transform marketing, finance, operations, and competitive strategy. He has published in top-tier journals such as Management Science and Information Systems Research.

• Ph.D., Information Systems and Operations Management, University of Florida (2022)
• M.S., Management Science and Engineering, Renmin University of China (2017)
• B.S., Engineering Management, Wuhan University (2014)

Wan’s research focuses on three interconnected areas: Human-Algorithm Interactions, AI & Digital Economy, and FinTech & Blockchain. He employs machine learning, digital experimentation (field, quasi-, and lab experiments), applied econometrics, and analytical modeling. His work explores algorithmic recommendation systems, token incentives in decentralized platforms, and AI-generated content summarization.

Recent publications analyze cross-chain technology, AI-generated summaries, token economics, and NFT imitation. These papers span disciplines like blockchain, AI, and operations management, with subfields including decentralized finance, product network characteristics, and personalized digital marketing.

• ACM SIGMIS Doctoral Dissertation First Runner-up Award (ICIS 2022)
• Best Dissertation Runner-up Award (WITS 2021)
• Best Paper Nomination (HICSS 2024)
• Best Paper Nomination (WITS 2021)
• Best Paper Nomination (OCIS Doctoral Consortium 2021)

Wan’s work has received funding through Digital Markets Initiative's Competitive Research Award Program ($11,000 in 2021 and $10,000 in 2021). He actively presents at major conferences including INFORMS, ICIS, and POMS International Conference.