Issue |
E3S Web Conf.
Volume 281, 2021
IV International Scientific Conference “Construction and Architecture: Theory and Practice of Innovative Development” (CATPID-2021 Part 1)
|
|
---|---|---|
Article Number | 08004 | |
Number of page(s) | 9 | |
Section | Economy in the Industry | |
DOI | https://doi.org/10.1051/e3sconf/202128108004 | |
Published online | 02 July 2021 |
Assessment of the innovation ecosystem reproductive potential
Don State Technical University, 344000, Rostov-on-Don, Russia
* Corresponding author: lana_belikova@mail.ru
The technological development of the national economy in modern conditions is impossible without the creation of a stable innovation ecosystem, capable of a continuous process of the innovations expanded reproduction. Within the framework of the innovation ecosystem, conditions should be created not only for innovation, but also for the active introduction of innovative products. This is especially true for the construction industry, which is the engine of economic growth. In order to analyze the ability of an innovation ecosystem to reproduce innovations, the authors proposed a methodology for assessing the reproductive potential of an innovation ecosystem, which is based on the index method. A distinctive feature of the proposed methodology is the formation of a system of indicators relative to the main stages of innovation reproduction. In most scientific studies, the analysis is based on the assessment of the activities of economic entities involved in innovation. The methodology was tested at the regional level. In this case, an analysis of the industry specifics is possible. The results obtained make it possible to assess the reproductive potential of an innovation ecosystem, to identify the problematic stages in the innovations’ creation and implementation, which contributes to the possibility of using the additional levers for intensifying economic growth.
© The Authors, published by EDP Sciences, 2021
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.