Predictors of the layoffs in the system of provision of the personnel stability

Abstract

The article substantiates the necessity of forecasting layoffs in the system of ensuring the stability of the company's personnel, especially in the conditions of the war in Ukraine. It has been established that the war in Ukraine significantly disrupted the stability of company personnel: 22% of respondents lost their jobs due to the war, 8% due to company destruction or bankruptcy, and an additional 1% of personnel was relocated. According to the results of an expert survey, the factors that most often lead to personnel dismissals were determined. The structure of predictive analytics for predicting layoffs and preventing staff turnover is defined. Based on the results of the expert survey, predictors were identified that signal probable dismissals and violations of personnel stability. The most important predictors of personnel layoffs are: non-competitive wages; lack of salary growth in accordance with the complexity of the work; excessive staff turnover in general (which indicates employee dissatisfaction); reduction of the general wage fund; increase in working hours. The implementation of social technologies of HR management in order to prevent excessive dismissals and create a positive image of the company on the labour market is proposed.