Title |
Models and methods for analysis of small enterprises' sustainable development |
ID_Doc |
65698 |
Authors |
Egorova, NE |
Title |
Models and methods for analysis of small enterprises' sustainable development |
Year |
2020 |
Published |
Ekonomika I Matematiceskie Metody-Economics And Mathematical Methods, 56.0, 3 |
DOI |
10.31857/S042473880010548-1 |
Abstract |
The paper presents system analysis of exiting concepts and approaches to the sustainability of economic objects. The basis of the application of dynamic computer simulation models for analyzing the sustainability of small enterprises is done. Defined a concept of sustainability for small enterprises, according to which, small enterprises should have a non-negative growth rate, and must be characterized by a certain set of performance indicators of their work with corresponding values in a given range. Methods for the formulation of a sustainable development strategy for small businesses are proposed, involving the use of decision-making algorithms, such as optimizing the distribution of profits, express analysis of key indicators and so on. The economic-mathematical and software tools are applied to the example of two small firms, one of which focuses on production, the other relates to the provision of IT-services, and runs business in the innovation sector of economy. The modification of computer simulation models for innovation small firm was developed. The modification of model includes the knowledge production function (of the GrilichesPakes type), that is obtained by using of regression analysis methods. |
Author Keywords |
small enterprise; small business; sustainability; development strategy; computer simulation model; optimization of profit distribution; express analysis of indicators; economic indicators; innovation-oriented firm; knowledge function |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Emerging Sources Citation Index (ESCI) |
EID |
WOS:000614261500007 |
WoS Category |
Economics |
Research Area |
Business & Economics |
PDF |
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