李晓白: Cost-Effective Acquisition of First-Party Data for Business Analytics

报告时间：2024年07月09日（星期二）09:30-11:30 报告地点：管理学院新大楼925会议室 报 告 人：李晓白 教授 工作单位：美国马萨诸塞大学 举办单位：管理学院 报告简介： Data mining and sharing enable organizations to extract valuable knowledge from data, thereby gaining a competitive edge by better understanding and serving their customers. Customer data acquisition is an important task in data-driven business analytics. Recently, there has been a growing interest in the effective use of an organization’s internal customer data, also known as first-party data. This report will explore the acquisition of new data resources based on first-party data, discussing issues related to acquisition costs and data quality. The proposed models maximize the quality of the acquired data while satisfying budget constraints. By analyzing, deriving and discussing solutions to optimize models, management insights can also be provided from the solutions。 报告人简介： Dr. Xiaobai Li is a Professor of Information Systems in the Department of Operations and Information Systems at the University of Massachusetts Lowell, USA. He received his Ph.D. in management science from the University of South Carolina. Dr. Li’s research focuses on machine learning, data science, data privacy, and business analytics. He has received funding for his research from National Institutes of Health (NIH) and National Science Foundation (NSF), USA. His work has appeared in Management Science, Information Systems Research, MIS Quarterly, Operations Research, INFORMS Journal on Computing, Journal of the Association for Information Systems, IEEE Transactions (TKDE, TSMC, TAC), Decision Sciences, Decision Support Systems, Communications of the ACM, and European Journal of Operational Research, among others. He currently serves as an associate editor for Information Systems Research, Decision Support Systems, and other journals.