Separate ways of providing the forensic institution with qualified employees

Abstract

The article deals with the topical issue of providing qualified employees to forensic expert institutions of Ukraine. It was determined that personnel policy is an integral component of the country’s economic system. According to the authors, modern approaches to the management of organizations require organizational changes in the priority areas of personnel development, including the processes of recruitment, selection and placement of personnel. It is noted that the selection and placement of employees in a forensic institution, being a direct expression of the division and cooperation of labor, is created by the institution’s team. The expediency of forming a collective has been proven, taking into account not only the professional, business and personal qualities of each of its members, but also the effect of their combination psychological compatibility, which helps employees to work quickly and successfully with each other. It is noted that the rational arrangement of personnel is the distribution of employees by positions, in which the discrepancy between a person’s personal qualities and the requirements for the work performed by him is minimal without excessive or insufficient workload. The purpose of the article is to highlight the ways of selection and placement of professional personnel as one of the directions of providing a forensic expert institution with qualified professional employees. To achieve the goal, general scientific methods of theoretical generalization, comparison, system analysis and formalization were used. The issue of effective provision of training by qualified personnel of forensic expert institutions of Ukraine was considered. The process of personnel selection, possible methods used for this process are considered in detail. The system of errors that are allowed in the personnel policy of forensic institutions and possible options for solving them are separately defined. Ways to overcome staffing errors that are more effective are proposed.