WEI Qiang

Qiang Wei is a distinguished academic and researcher with a strong background in information systems, data science, and business intelligence. He holds a Ph.D. in Information Systems and has made significant contributions to the fields of big data analytics, online reviews, personalized recommendation systems, and decision-making paradigms. His research has been published in top-tier journals such as *Information Systems Research*, *Decision Support Systems*, *INFORMS Journal on Computing*, and *Management Science*.

Qiang Wei is a Professor at the School of Economics and Management, Tsinghua University, specializing in Big Data Analytics, Business Intelligence, Data Mining, Fuzzy Logic, and Information Systems. His research explores advanced techniques for data-driven decision-making, including fuzzy association rule mining, personalized recommendation systems, and the impact of monetary incentives on online prosocial behavior. He has published extensively on topics such as fuzzy data mining, generalized association rules, and the integration of multi-view information for recommendation systems. His work bridges theoretical advancements in data analysis with practical applications in business and management contexts.