1. The Influence of Demographic Characteristics on Employee Promotion: Research Based on Data Mining and Game Theory
- Author
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Yuan-yuan Ren, Tingjie Lv, Shuo Wang, Chang Zhang, and Chun-hui Yuan
- Subjects
Technology ,Article Subject ,Computer Networks and Communications ,Computer science ,media_common.quotation_subject ,Adverse selection ,02 engineering and technology ,TK5101-6720 ,computer.software_genre ,Information asymmetry ,Promotion (rank) ,0502 economics and business ,Research based ,0202 electrical engineering, electronic engineering, information engineering ,Electrical and Electronic Engineering ,Human resources ,media_common ,business.industry ,05 social sciences ,020207 software engineering ,Incentive ,Telecommunication ,Data mining ,business ,computer ,Game theory ,050203 business & management ,Information Systems - Abstract
The motivation of the paper is to find out the influence of demographic characteristic factors on employees’ career promotion in China’s state-owned enterprises and study the relationship between promotion mechanism and enterprise benefits. More than 6,500 pieces of human resource data from China’s state-owned enterprises were studied. Logistic regression is adopted to analyze the correlation between demographic characteristics and promotion. Meanwhile, different data mining methods are used to summarize the characteristics of promotion. On this basis, this study uses the principal-agent model of game theory to analyze the profits of employees and enterprises under different promotion mechanisms and demonstrates the conditions for enterprises to obtain the maximum benefit from the employees’ promotion. The results provide a theoretical reference for the assessment indicator selection of enterprise promotion and help executives better understand the impact of promotion mechanism on enterprises and employees. The application of results can reduce the information asymmetry in promotion incentive, prevent the emergence of adverse selection, and achieve a win-win situation for enterprises and employees.
- Published
- 2020