Topic: Research on big data of employee work behavior in organizational context

Time: From 14:00 on December 11, 2019

Venue: 1722, Rear Main Building, Beijing Normal University

Guest: Xu Minya, Associate professor, Department of Business Statistics and Econometrics, Guanghua School of Management, Peking University

Host: Teacher Ju Dong

Guest profile 

Professor Xu Minya is an associate professor of Business Statistics and Econometrics at Guanghua School of Management, Peking University.  Ms. Xu received her B.S. degree in Statistics from the Department of Statistics, University of Science and Technology of China in 2004 and her Ph.D. degree in statistics from Rutgers University in 2008. She specializes in the construction of statistical methods and their application to management.  In the construction of statistical methods, her research has been published in The Annals of Statistics, Biometrika, Journal of Business & Economic Statistics,  Journal of Statistical Planning and Inference, Etc. In terms of the application of statistical methods in management, she focuses on the professional behavior, career development and success of employees and leaders in Chinese enterprises, and is good at the research on leadership and employee behavior and big data research.  The research results were published in Journal of Applied Psychology, Journal of Organizational Behavior,  Journal of Occupational and Organizational Psychology, Human Relations, The Leadership Quarterly,  Journal of Business Ethics, Management World, Acta Psychologica Sinica, Nankai Management Review, etc.

Abstract

This lecture will focus on the work behavior and performance of employees in the enterprise.  In today's Internet era, many enterprises have established interconnected work platforms on computers and mobile phones. Employees log in to work on the platform every day, and their work behaviors and social situations at work can be recorded on the platform in real time. From the theoretical perspective of initiative, we explore and study the relationship between employees' different work behaviors and work network structure and their performance by using the big data of three years' work platform of an IT enterprise.  The research results can provide effective scientific evidence for enterprises to guide and manage employees effectively.