Employee turnover forecasting for human resource management based on time series analysis

2016 ◽  
Vol 44 (8) ◽  
pp. 1421-1440 ◽  
Author(s):  
Xiaojuan Zhu ◽  
William Seaver ◽  
Rapinder Sawhney ◽  
Shuguang Ji ◽  
Bruce Holt ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shui Liu

With the progress of science and technology, the advent of VR panorama, the era of Big Data has arrived, which has set off a revolution in the development and future destiny of Internet companies. Human resource management (HRM) is an important department of Internet companies. This paper introduces the principle and value of Big Data and related theories of HRM. This paper discusses three aspects of HRM in our company using Big Data theory: employee turnover prediction, salary comparison, and talent evaluation method, and puts forward suggestions for optimization and improvement of the company’s HRM. The results show that, through the company’s project manager’s ability to quantify data and analyze a set of data quantitative research, comparative analysis of the ability of three candidates Q, W, and E showed that W is the most suitable for the company’s project manager staff.


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