Improving Legal Regulation Efficiency Of Personnel Number Optimisation Using Mathematical Methods


The necessity to optimize the number of employees is conditioned by a number of objective factors and is connected with possible negative consequences for the employees working under the labor contract. Consequently, a number of rules aimed at the employees' protection shall be enacted. The process of optimizing the employees’ number is also due to enterprise quantitative characteristics, some of which shall be improved (labor productivity, production rate standards) and others shall be reduced (payment costs, etc.). Accordingly, business inquiries into the optimal number of employees are necessary to ensure organization work. To solve the problem of optimal planning of employees’ number for the planning period, it is possible to use various mathematical methods, which become particularly relevant when business management is becoming more and more digitalized. In crisis situations, the issue of optimizing the number of employees is particularly vital; as a result, the main approach to regulating the number of employees from the employer's perspective is to minimize the number of employees and reduce the cost of their maintenance. However, headcount reduction by means of layoffs, including those caused by job elimination, inevitably leads to many negative social consequences. The increasing use of mathematical calculations aimed to determine the optimal number of employees requires staff organizational measures. These circumstances call for more effective legal regulation to protect the rights of redundant employees. The authors formulate proposals aimed to improve legislation bearing in mind the specifics of personnel number optimization processes.

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20 January 2022

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Arkhangelskaya, E. V., Ermolova, O. N., & Leskina, E. I. (2022). Improving Legal Regulation Efficiency Of Personnel Number Optimisation Using Mathematical Methods. In S. Afanasyev, A. Blinov, & N. Kovaleva (Eds.), State and Law in the Context of Modern Challenges, vol 122. European Proceedings of Social and Behavioural Sciences (pp. 26-31). European Publisher.