【CUHK Distinguished Lecture Series】Big Data Based Behavioral Research
The Chinese University of Hong Kong, Shenzhen would regularly invite professors and scholars from The Chinese University of Hong Kong to deliver themed speeches at CUHK Distinguished Lecture Series. The aim of this Lecture Series is to foster academic exchanged collaboration between CUHK and CUHK-Shenzhen.
Topic: Big Data Based Behavioral Research
Speaker: Professor Jia Jianmin
Date: January 12th, Friday
Time: 4:00-5:30 pm
Venue: Governing Board Meeting Room, Daoyuan Building
Jianmin Jia is a professor and chairman in the Department of Marketing at the Chinese University of Hong Kong, Chang Jiang Chair Professor appointed by the Chinese Ministry of Education, and the Distinguished Young Scholar Recipient of the National Natural Science Foundation of China. He received his Ph.D. from the McCombs School of Business at the University of Texas at Austin, and was a visiting scholar at Carnegie Mellon University and Duke University. Professor Jia published in Management Science, Marketing Science, Journal of Consumer Research, Psychological Science, Operations Research and other leading international journals. His research interests include big data marketing, social networks, consumer choice, decision making, and risk analysis.
He was an Associate Editor of Operations Research, Academic Trustee of Marketing Science Institute (USA), and Vice Chairman of the Academic Committee of China Marketing Association. He served as a member of the Expert Consultation Committee of the Natural Science Foundation of China, the National MBA Education Supervisory Committee of China, and the Standing Committee of People’s Congress of Sichuan, China, and the Dean of School of Economics and Management, Southwest Jiaotong University, China.
Big data offers new opportunities and challenges to many research areas including business, public administration, and social sciences. This talk provides the experience and relevant results of our research in mobile big data. The topics include how to use “Time-Space-Connections” framework to gain insights into today’s business problems, how to discover research issues through big data, how to integrate big data into behavioral research, how to conduct big data based field experiments and natural experiments, and how to deal with endogeneity problems in big data research.
The talk illustrates some possible new trends of big data based behavioral research with several exemplar projects, including prosocial response behavior in mobile social networks, emergency communication behavior after earthquake, the impact of hedonic app usages on perceived risk after a disaster, the importance of embedded ties in social networks, and the structure of family embeddedness and its impact on network behavior.