Development of a comprehensive method for assessing the efficiency of human resources staffing of organizational and state structures
DOI:
https://doi.org/10.15587/2706-5448.2023.276638Keywords:
system of staffing with human resources, research methods, intelligent management methods, organizational and state structuresAbstract
Hierarchical construction of the human resources system, constant change in the forms and methods of armed struggle requires taking into account a large number of factors. At the same time, each of the factors is described by evaluation indicators of different origin and measurement units. This, in turn, requires the use of modern and proven mathematical apparatus, which is capable of processing a large array of various types of data with a given reliability of management decision making in a short period of time. In the course of the conducted research, classical methods of analysis were used to solve the problem of analyzing the conditions and factors affecting the effectiveness of the human resources staffing system. The theory of artificial intelligence was also used to process various types of data in the course of evaluating the effectiveness of the human resources staffing system. The object of the research is the system of staffing with human resources. The subject of the research is the effectiveness of the system of staffing with human resources. In the research, the development of a complex method for evaluating the effectiveness of staffing the organizational and state structures with human resources was carried out. The novelties of the research are:
– evaluation of the possible risks of disruption of the task of staffing with human resources in the responsibility area;
– determination of influence of indicators of the effectiveness of the human resource recruitment system on each other;
– determination of influence of a group of indicators for evaluating the efficiency of the human resources system on a separate indicator.
It is expedient to implement the specified method in algorithmic and program software while researching the state of the system of staffing with human resources during the formation of new or additional staffing of existing organizational and state structures.
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