Development of a comprehensive method for assessing the efficiency of human resources staffing of organizational and state structures

Authors

DOI:

https://doi.org/10.15587/2706-5448.2023.276638

Keywords:

system of staffing with human resources, research methods, intelligent management methods, organizational and state structures

Abstract

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.

 

Author Biographies

Volodymyr Dudnyk, The National University of Defense of Ukraine named after Ivan Chernyakhovskyi

PhD, Associate Professor

Department of Leadership of Troops (Forces) in Peacetime

Hryhoriy Tikhonov, The National University of Defense of Ukraine named after Ivan Chernyakhovskyi

PhD, Associate Professor, Head of Department

Department of Leadership of Troops (Forces) in Peacetime

References

  1. Shishatckii, A. V., Bashkirov, O. M., Kostina, O. M. (2015). Rozvitok іntegrovanikh sistem zv’iazku ta peredachі danikh dlia potreb Zbroinikh Sil. Ozbroennia ta vіiskova tekhnіka, 1 (5), 35–40.
  2. Timchuk, S. (2017). Methods of Complex Data Processing from Technical Means of Monitoring. Path of Science, 3 (3), 4.1–4.9. doi: http://doi.org/10.22178/pos.20-4
  3. Sokolov, K. O., Hudyma, O. P., Tkachenko, V. A., Shyiatyi, O. B. (2015). Main directions of creation of IT infrastructure of the Ministry of Defense of Ukraine. Zbirnyk naukovykh prats Tsentru voienno-stratehichnykh doslidzhen, 3 (6), 26–30.
  4. Shevchenko, D. G. (2020). The set of indicators of the cyber security system in information and telecommunication networks of the armed forces of Ukraine. Suchasnі іnformatcіinі tekhnologіi u sferі bezpeki ta oboroni, 38 (2), 57‒62. doi: https://doi.org/10.33099/2311-7249/2020-38-2-57-62
  5. Makarenko, S. I. (2017). Perspektivy i problemnye voprosy razvitiia setei sviazi spetcialnogo naznacheniia. Sistemy upravleniia, sviazi i bezopasnosti, 2, 18–68. Available at: http://sccs.intelgr.com/archive/2017-02/02-Makarenko.pdf
  6. Zuiev, P., Zhyvotovskyi, R., Zvieriev, O., Hatsenko, S., Kuprii, V., Nakonechnyi, O. (2020). Development of complex methodology of processing heterogeneous data in intelligent decision support systems. Eastern-European Journal of Enterprise Technologies, 4 (9 (106)), 14‒23. doi: http://doi.org/10.15587/1729-4061.2020.208554
  7. Brownlee, J. (2011). Clever algorithms: nature-inspired programming recipes. LuLu, 441.
  8. Gorokhovatsky, V., Stiahlyk, N., Tsarevska, V. (2021). Combination method of accelerated metric data search in image classification problems. Advanced Information Systems, 5 (3), 5–12. doi: http://doi.org/10.20998/2522-9052.2021.3.01
  9. Meleshko, Y., Drieiev, O., Drieieva, H. (2020). Method of identification bot profiles based on neural networks in recommendation systems. Advanced Information Systems, 4 (2), 24–28. doi: https://doi.org/10.20998/2522-9052.2020.2.05
  10. Rybak, V. A., Shokr, A. (2016). Analysis and comparison of existing decision support technology. System analysis and applied information science, 3, 12–18.
Development of a comprehensive method for assessing the efficiency of human resources staffing of organizational and state structures

Downloads

Published

2023-04-10

How to Cite

Dudnyk, V., Tikhonov, H., & Rudenko, D. (2023). Development of a comprehensive method for assessing the efficiency of human resources staffing of organizational and state structures. Technology Audit and Production Reserves, 2(2(70), 30–33. https://doi.org/10.15587/2706-5448.2023.276638

Issue

Section

Systems and Control Processes