| Issue |
E3S Web Conf.
Volume 164, 2020
Topical Problems of Green Architecture, Civil and Environmental Engineering 2019 (TPACEE 2019)
|
|
|---|---|---|
| Article Number | 10048 | |
| Number of page(s) | 8 | |
| Section | Environmental Planning and Management | |
| DOI | https://doi.org/10.1051/e3sconf/202016410048 | |
| Published online | 05 May 2020 | |
Recommendations for reducing the risks of small businesses in the context of integration processes
1 Moscow Pedagogical State University, 1/1 M. Pirogovskaya Str., Moscow, 119991, Russia
2 Saint Petersburg State Economic University, 21, Sadovaya Street, St. Petersburg, 191023, Russia
3 Voronezh State Technical University, 14, Moskovsky prospect, Voronezh, 394026, Russia
* Corresponding author: anisimova@mail.ru
The aim of this study is to develop methods to reduce the risk load on investment and construction enterprises based on the principles of self-organization. A model of formalizing the vector control function in the process of identifying a company in the investment and construction sector as a complex self-organizing system is proposed. A model of vector optimization of risk reduction for investment and construction companies has been formed, taking into account the difference in their interests and capabilities depending on the degree of integration. The optimality criteria of the model make it possible to reduce the risk coefficient by reducing the potential loss, increasing profits, and optimizing the ratio of own and borrowed funds. As a result of the study, a method was developed for the formation of a risk reduction mechanism in investment and construction companies, which is a set of step-by-step managerial actions for identifying risks and conducting anti-risk measures.
© The Authors, published by EDP Sciences 2020
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.