| Issue |
E3S Web Conf.
Volume 244, 2021
XXII International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT-2020)
|
|
|---|---|---|
| Article Number | 10005 | |
| Number of page(s) | 9 | |
| Section | Bioeconomy and Low Carbon Development | |
| DOI | https://doi.org/10.1051/e3sconf/202124410005 | |
| Published online | 19 March 2021 | |
Formation of subject composition and structure of innovative activity in the conditions of digitalization
Voronezh State Technical University, Moscow Avenue, 14, Voronezh, 394026, Russia
* Corresponding author: sizova@vgasu.vrn.ru
The article is devoted to the application of the subject-oriented approach in the management of innovative activities in the context of digitalization. The key directions of the analysis of the readiness of the enterprise for the implementation of innovations are identified and substantiated and their impact on innovative processes is characterized. The multi-subject nature is noted as one of the most significant aspects of the implementation of innovative activities by an enterprise, which affects its effectiveness. A conceptual scheme for the interaction of subjects is proposed, taking into account the specifics of innovation and focus on improving its efficiency in key areas. In order to form the optimal subject composition, a classification of the participants in the innovation network is proposed. The mechanisms of accounting for the degree of workload of an innovative subject as a consequence of the multi-project nature of the activity are considered. An algorithm has been developed for constructing the optimal subjective structure of innovation activity, based on the use of elements of graph theory in order to assess its optimality. Risks of intersubjective interaction are formulated when participants of the external environment participate in the innovation network.
© 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.
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