管理科学与工程系学术讲座系列2021年第1讲

主 题：Consumer Choice Modeling via Operational Data Analytics

主讲人: Dr. Mengying Xue (Krannert School of Management)

时 间：2021-03-31 10:00

地 点：Zoom会议室

语 言：英文

地点：Zoom会议室 

https://zoom.com.cn/j/62054805525?pwd=SjVOdjRJdStPTFNTS3pRSERYWTVLQT09 

会议ID：620 5480 5525

密码：063955

讲座摘要：

Consumer choice models are widely applied in psychology, economics, transportation, marketing and operations studies.  An operational data analytics (ODA) framework is presented to estimate the general consumer choice model using data. This framework, generalizing the existing estimation methods based on specific structural models, strikes a delicate balance between the (likely imprecise) structural knowledge and the data. This is achieved by articulating the domain of validation through extending the structural knowledge and by formulating the data integration model utilizing the desired structural properties. We demonstrate the implementation of the ODA framework to identify the appropriate consumer choice models. The ODA estimate outperforms the existing parametric and nonparametric methods, particularly over the choice sets that are not covered in the data. We also discuss potential future research of developing ODA approaches to study the related aspects of consumer choice models.

讲师简介:

Mengying Xue is a postdoctoral researcher at Krannert School of Management, Purdue University. She got her PhD in Industrial Engineering Department, Tsinghua University. Her research focuses on integrating theoretical modeling and data analytics in supply chain management. Her research interests span the following areas: data-driven analytical approach, optimization modeling and algorithm, economic and game-theoretical analysis, and their applications in operations management, marketing and energy interfaces.