Issue |
SHS Web Conf.
Volume 62, 2019
17th International Scientific Conference “Problems of Enterprise Development: Theory and Practice” 2018
|
|
---|---|---|
Article Number | 03002 | |
Number of page(s) | 4 | |
Section | Reserves for Increasing the Usage Efficiency of the Innovation and Investment Potential of Industrial Enterprises | |
DOI | https://doi.org/10.1051/shsconf/20196203002 | |
Published online | 15 March 2019 |
Formation of Analytical Tools of Anti-Crisis Business Regulation on the Basis of Logit-Models
1
Penza State University, Penza, Russia
2
Samara State University of Economics, Samara, Russia
* Corresponding author: nikitina_nv@mail.ru
Current trends in economic development emphasize the importance of crisis management at both the macro and microeconomic levels. The analysis of current problems of Russian enterprises has shown that at present some outdated approaches to this problem prevail in domestic science and practice. Therefore, a new scientific direction “Anti-crisis business regulation” is becoming increasingly important.
In the world practice, the term crisis-management is not associated solely with the problems of bankruptcy. On the contrary, it is a broader concept that includes a range of problems. Therefore, the technology of anti-crisis business regulation should be universal enough and allow to solve any socio-economic, financial and organizational problem.
The basic tool of anti-crisis business regulation are methods of diagnostics, monitoring and forecasting of the crisis phenomena at the enterprises which have, first of all, preventive character. One of such approaches is a method of forecasting the probability of insolvency (bankruptcy) on the basis of logit-model. This approach, tested on the sample of enterprises of Penza region, has shown a significant increase in the accuracy of forecasts compared to traditional models, for example: Altman and others.
Key words: Anti-crisis management / anti-crisis business regulation / business model / business analysis / bankruptcy of the organization.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/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.