Behavioral Profiling for Employees using Social Media: A Case Study based on WeChat
Ni, Xiaochun; Zeng, Shuai; Qin, Rui; Li, Juanjuan; Yuan, Yong; Wang, Fei-Yue
2017-10-20
会议日期Oct. 20-22, 2017
会议地点Jinan, China
关键词Employee Behavioral Profiling Behavior Analysis Social Media
英文摘要With the continuing development and innovation of modern information and communication technologies in recent years, social media platforms, such as WeChat and Microblog, have been witnessed to play a key role in employee management for enterprises or organizations, enabling individual or groups of employees to express their viewpoints or report their works in a real-time fashion. The resulting Cyber-workspace in social media, which exists in parallel with employees’ physical workspace, has the potential of greatly changing the forms and functions of the organizations, as well as the knowledge structures and behavioral patterns of employees, thus bringing unprecedented challenges to the existing research efforts on the management of organizational behavior. In this paper, we propose an approach of behavioral profiling for analyzing and better understanding employees, with the input of large amounts of real-time collected data generated by employees’ daily reported works on social media. Our aim is to characterize the diversified behavior patterns of employees in an automatic and accurate fashion for organization management. We also validate our proposed method using a real-world dataset collected from WeChat, and the experimental results prove our analysis, as well as the effectiveness of our approach.
会议录Proceedings of the 2017 Chinese Automation Congress
内容类型会议论文
源URL[http://ir.ia.ac.cn/handle/173211/19631]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Yuan, Yong
作者单位The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Ni, Xiaochun,Zeng, Shuai,Qin, Rui,et al. Behavioral Profiling for Employees using Social Media: A Case Study based on WeChat[C]. 见:. Jinan, China. Oct. 20-22, 2017.
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