Assessment of Material and Intangible Motivation of Top Management in Regions Using Multipurpose Genetic Algorithm

DOI

10.2991/assehr.k.201212.009How to use a DOI?

Keywords

motivation of top management, multi-purpose genetic algorithm

Abstract

The aim of the research is to create a model of assessment of material and non-material motivations of the top managers of the regional and district management structures. To this end, the effectiveness of inter-cluster cooperation within a federal district are assessed by means of a system of socio-economic development factors in the regions of Russia that directly affect the natural population growth in the districts. The method used to solve the problem is a multi-purpose genetic algorithm, which produces a Pareto front for the dual-purpose function of natural population growth, all solutions of which are equally optimal. By choosing any point of the Pareto front, one can find in it a share of material and immaterial motivations of top-managers. They are determined by proximity to the extreme points of the Pareto front, where only one of the two regressions (motivations) is maximum.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Sergey Yashin
AU  - Egor Koshelev
AU  - Sergey Tsymbalov
AU  - Nadezhda Yashina
AU  - Yaroslav Potashnik
PY  - 2020
DA  - 2020/12/15
TI  - Assessment of Material and Intangible Motivation of Top Management in Regions Using Multipurpose Genetic Algorithm
BT  - Proceedings of the International Conference Digital Age: Traditions, Modernity and Innovations (ICDATMI 2020)
PB  - Atlantis Press
SP  - 33
EP  - 39
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.201212.009
DO  - 10.2991/assehr.k.201212.009
ID  - Yashin2020
ER  -