Issue |
BIO Web Conf.
Volume 108, 2024
International Scientific and Practical Conference “From Modernization to Rapid Development: Ensuring Competitiveness and Scientific Leadership of the Agro-Industrial Complex” (IDSISA 2024)
|
|
---|---|---|
Article Number | 14006 | |
Number of page(s) | 7 | |
Section | Rational Environmental Management | |
DOI | https://doi.org/10.1051/bioconf/202410814006 | |
Published online | 15 May 2024 |
Development of a model for increasing the competitiveness of forest industry enterprises
Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
* Corresponding author: medvedev_serega@mail.ru
Competitiveness is one of the key characteristics for any commercial enterprise. This parameter is determined by many indicators and factors. At the same time, the most important condition for competitive advantages is the efficiency of various processes. The purpose of the work was to develop a model for increasing the competitiveness of enterprises in the forest industry. To achieve it, a set of tasks was solved using traditional research methods (static analysis, literature analysis, modeling). As a result, the key factors influencing the competitiveness of the timber industry enterprise were identified. These include a variety of resources, the external environment and internal capabilities that determine pricing policy. The paper presents a detailed analysis of these factors and their role in improving the efficiency of the studied objects. It is determined that resource conservation, adaptation and optimization of these factors are key to improving competitiveness. The developed model generalizes the presented approach and, when used, leads to an increase in the competitiveness of timber enterprises.
© The Authors, published by EDP Sciences, 2024
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.