Issue |
SHS Web Conf.
Volume 107, 2021
9th International Conference on Monitoring, Modeling & Management of Emergent Economy (M3E2 2021)
|
|
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Article Number | 05001 | |
Number of page(s) | 7 | |
Section | Information Systems and Technologies in Economics | |
DOI | https://doi.org/10.1051/shsconf/202110705001 | |
Published online | 24 May 2021 |
Decision support information and analytical technology in discharge military personnel employment
1
National Academy of the National Guard of Ukraine, 3 Zakhysnykiv Ukrainy Sq., Kharkiv, 61001, Ukraine
2
V. N. Karazin Kharkiv National University, 4 Svobody Sq., Kharkiv, 61022, Ukraine
3
State Higher Vocational School Memorial of Prof. Stanislaw Tarnowski in Tarnobrzeg, 50 Henryka Sienkiewicza Str., 39-400 Tarnobrzeg, Poland
* e-mail: medvidmm@ukr.net
** e-mail: ipaplin7@gmail.com
*** e-mail: trubavina@gmail.com
**** e-mail: ibritchenko@gmail.com
† e-mail: liutyy@ukr.net
The research material proposes the use of decision support information-analytical technology in discharge military personnel employment, which, in contrast to the usual processing of survey results, makes it possible to obtain more information for decision-making. Adherence to such an approach in the development of public administration mechanisms increases the likelihood that in the case of their implementation in the country there will be positive changes, as they will indirectly take into account the availability of necessary resources. Information and analytical technology to support decisions in the field of labor economics substantiates the development of the example of discharged military personnel social welfare. According to the content, the developed decision support information-analytical technology in the field of labor economics provides for the following components: formation of social protection mechanisms; development of a questionnaire on the use of the appropriate mechanism; statistical analysis of survey results (generation of empirical distributions of answers to questions relative frequencies; comparison of answers medians; correspondences analysis; factor analysis; analysis of hierarchies); meaningful interpretation; decision making.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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