
Research Article
Psychological Motivation Model of Employee Turnover Risk Management Based on ERP System
@INPROCEEDINGS{10.1007/978-3-031-28867-8_38, author={Han Yin}, title={Psychological Motivation Model of Employee Turnover Risk Management Based on ERP System}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={ERP system Employee turnover Risk management Psychological motivation Turnover risk Model construction}, doi={10.1007/978-3-031-28867-8_38} }
- Han Yin
Year: 2023
Psychological Motivation Model of Employee Turnover Risk Management Based on ERP System
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_38
Abstract
In the analysis of employee turnover motivation, there is a lack of quantitative feedback on turnover risk characteristics, resulting in a high turnover rate of employees. Which is based on ERP system to build employee turnover risk management psychological motivation model. From the salary, promotion mechanism, work pressure, career planning and staff personal five aspects, analysis of the impact of turnover risk management factors. From the management content of each module in the ERP system, extract and decompose the enterprise risk factors that affect the turnover intention of core employees, identify the characteristics of resignation risk, and achieve the purpose of data-driven operation. The psychological motivation model of employee turnover risk management is established to reveal the internal mechanism of employee turnover. Based on the reasons for leaving, the implementation path of risk management is put forward to motivate employees to work through various channels. Integrate the above solutions into the ERP system to realize the psychological motivation analysis of employee turnover risk management. The test results show that the psychological motivation model based on ERP system can make full use of employee information, reduce the turnover risk index and the turnover rate of employees, provide effective decision-making feedback for the management, and avoid the loss of core employees.