【Academic Seminar】Big Data Based Behavioral Research (Part II): Social Embeddedness and Mobility

Big Data Based Behavioral Research (Part II): Social Embeddedness and Mobility

Speaker: Prof. Jianmin Jia 

Venue: Boardroom, Dao Yuan Building

Time: 14:00-15:00,

Date: Thursday, September 20, 2018

Abstract：

This talk provides an overview of big data-based behavioral research, which combines behavioral science insights and big data methodologies to conduct novel scientific research on human behavior. I present a “Time-Space-Connections” framework which maps the discovery possibility frontiers of big data-based behavioral research as well as potential applications in business and society. To demonstrate the framework’s empirical tractability, I show how to integrate big data with natural experiments to gain new theoretical insights in human behavior dynamics at a population-scale, and how to avoid big data traps (endogeneity) that are present in both academic research and strategic decision making. The talk also summaries our big data research efforts including behavioral evolution in social networks, emergency communication behavior after earthquake, structure and embeddedness in family networks, and the impact of social capitals on human mobility.

Bio:

Prof. Jianmin Jia is the presidential chair professor at The Chinese University of Hong Kong, Shenzhen. He was a Professor and Chairman in Department of Marketing at The Chinese University of Hong Kong, Chang Jiang Chair Professor appointed by the Ministry of Education, China, and Dean of School of Economics and Management, Southwest Jiaotong University, China. Prof. Jia received his PhD from the McCombs School of Business at the University of Texas at Austin. He was a visiting scholar at Carnegie Mellon University, Duke University, and India School of Business. Prof. Jia was the prize winner of the 1994 Decision Analysis Student Paper Competition sponsored by the Decision Analysis Society of INFORMS (USA), received the Finalist for the 2004 Franz Edelman Awards of INFORMS, and his dissertation about “Measures of risk and risk-value theory” received Honorable Mention Award from the University of Texas at Austin. Prof. Jia served as a member of the National MBA Education Supervisory Committee of China, and a member of the Expert Consultation Committee of the Management Sciences Department of the Natural Science Foundation of China, Academic Trustee of Marketing Science Institute (USA), and Vice Chairman of the Academic Committee of China Marketing Association, and Associate Editor of Operations Research. His research and teaching interests include big data marketing, social networks, consumer choice, and decision analysis. Prof. Jia published in Management Science, Marketing Science, Psychological Science, Journal of Consumer Research, Operations Research and other leading international and Chinese journals.