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The Influence of Demographic Characteristics on Employee Promotion: Research Based on Data Mining and Game Theory
- Source :
- Wireless Communications and Mobile Computing, Vol 2020 (2020)
- Publication Year :
- 2020
- Publisher :
- Hindawi-Wiley, 2020.
-
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.
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 15308677 and 15308669
- Volume :
- 2020
- Database :
- OpenAIRE
- Journal :
- Wireless Communications and Mobile Computing
- Accession number :
- edsair.doi.dedup.....817a562c2ed517c90b5f6cf89d434bdd