Management Decision-Making Based on the Results of Extreme Analysis of Quality of Life Parameters

O. V. VeretennykovaDonbas National Academy of Civil Engineering and ArchitectureM. A. PalkinaDonbas National Academy of Civil Engineering and Architecture
Abstract: In modern conditions, the issue of managing the quality of life in society is relevant, which involves the need to define the scientific basis for a comprehensive assessment of the factors affecting its formation. This paper proposes information and analytical tools to identify promising directions of development in the system of changing the parameters of the quality of life and possible alternatives to achieve them by making effective management decisions. Application of the extreme analysis in the process of research allows us to determine the points of maximum efficient application of efforts of various subjects in terms of forming the living conditions of the society and providing its economic and reproduction activity. Such conditions include the following: conditions that ensure the satisfaction of physiological needs of society representatives, income generation, preservation and improvement of health, savings, implementation of social interaction, leisure activities, development of intellectual potential, and the possibility of safe life activities.

Keywords: quality of life, system, system change, quality of life management, extreme analysis, statistical data set, quality of life parameters, management decision-making.

Pages: 69-74.

PDF

For citation: Veretennykova, O. V.; Palkina, M. A. Management Decision-Making Based on the Results of Extreme Analysis of Quality of Life Parameters. – Text : electronic. – In: Economics of Civil Engineering and Municipal Economy. – 2022. – Vol. 18, N 2. – Р. 69-74. – URL: https://donnasa.ru/publish_house/journals/esgh/2022-2/01_veretennikova_palkina.pdf (date of access: 23.11.2024). – ISSN 1993-3509.


Issue Cover
Vol. 18, N 2 (2022)
Journal: Economics of Civil Engineering and Municipal Economy
Publish house: Donbas National Academy of Civil Engineering and Architecture