Xiang (Shawn) Wan
Dr. Xiang (Shawn) Wan is an Assistant Professor in the Department of Information Systems and Analytics at Santa Clara University's Leavey School of Business. His research investigates how emerging technologies, particularly AI and blockchain, reshape decision-making and competition, and how these technologies can be steered to generate better outcomes for the economy and society. His work spans three interconnected domains: AI and the digital economy, FinTech and blockchain, and human-algorithm interaction.
Dr. Wan's scholarship has been published in Management Science, Information Systems Research, the Journal of Operations Management, and Production and Operations Management. He received the ACM SIGMIS Doctoral Dissertation First Runner-Up Award at the International Conference on Information Systems (ICIS 2022) and the Best Dissertation First Runner-Up Award at the Workshop on Information Technologies and Systems (WITS 2021).
Dr. Wan holds a Ph.D. in Information Systems and Operations Management from the University of Florida, an M.S. in Management Science and Engineering from Renmin University of China, and a B.S. in Engineering Management from Wuhan University.
Xiang (Shawn) Wan, Anuj Kumar, Xitong Li (2024) “How Do Product Recommendations Help Consumers Search? Evidence from a Field Experiment”, Management Science (IS Department), 70(9), 5776-5794.
Xiang (Shawn) Wan, Anuj Kumar, Xitong Li (2024) “Retargeted versus Generic Product Recommendations: When is it Valuable to Present Retargeted Recommendations?”, Information Systems Research, 35(3), 1403-1421.
Jian Li, Xiang (Shawn) Wan, Kenny Cheng, Xi Zhao (2024) “Operation Dumbo Drop: To Airdrop or Not to Airdrop for Initial Coin Offering Success?”, Information Systems Research, 35(4):1928-1947.
Xi Zhao, Jian Li, Xiang (Shawn) Wan, Xinyu Zang, Kenny Cheng (2025) “What Doesn’t Kill You Makes You Stronger? Evidence from Vampire Attack on Decentralized Exchange and Non-Fungible Token Marketplace”, Journal of Operations Management, 71(7): 1036-1067.
Xiang (Shawn) Wan, Anuj Kumar, Xitong Li (2025) “Is It Beneficial to Recommend Differently Priced Products? Experimental Evidence from Online Recommender Systems”, Production and Operations Management, Forthcoming.
Zhecheng Wang, Xinyu Zang, Xiang (Shawn) Wan, Kenny Cheng, Xi Zhao, Gengzhong Feng “Unveiling the Impact of Delegated Voting on Decentralized Autonomous Organizations”, Information Systems Research, Conditionally Accepted.