Quantitative analysis of enterprises' talent management based on logistic model

Abstract

With the development of my country's economy, the competition among enterprises has intensified. While obtaining more development opportunities, enterprises are facing new pressures and challenges. Continuously optimizing and adjusting corporate management models is necessary for enterprises to obtain development in more stable basis. Based on the background of human capital data in Beijing in 2019, this article uses the average salary, salary growth rate and job search frequency in different industries and different positions as independent variables, while the impact of turnover rate on the company as dependent variables, using binary logistic regression method, based on the analysis of the results of the calculation example, the practicality of the model is tested and reasonable suggestions are made, which have great reference significance for the enterprises' talent management work.