Skip to main content
SpringerLink
Log in

Multilevel Digital Ecosystem for Manufacturing Enterprises: Attracting Venture Capital

  • Published:
Russian Engineering Research Aims and scope

Abstract

The availability of direct investments and venture capital largely determines the number of innovative projects, not only in terms of financial resources but also by supporting the infrastructure required for project success. In the present work, the effective development of a multilevel investment system based on venture capital for manufacturers of industrial machinery within the digital economy is outlined, on the basis of theoretical and methodological principles. In the economic realm, it seems that digitization in Russia depends on the creation of a system capable of supporting projects dependent on venture capital, including projects for the integration of end-to-end technologies within the enterprise. That would improve the prospect for attracting financial resources. A multilevel model of a digital ecosystem may be based on the components of a triple cognition model. A multivariant matrix of development scenarios is proposed for Russia’s investment market, drawing on both direct investments and venture funds. The proposed multicriterial optimization model permits identification of a set of targets for key performance indicators (KPI) appropriate to such investments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.

REFERENCES

  1. Vertakova, Yu.V. and Kryzhanovskaya, O.A., Features of development of organizations in the context of digital transformation, Vestn. Univ., 2020, no. 10, pp. 33–39. https://doi.org/10.26425/1816-4277-2020-10-33-39

  2. Korovkin, V.V. and Kuznetsova, G.V., Prospects for digital transformation in Russian machine building industry, Iskusstvo Upr., 2020, vol. 12, no. 2, pp. 291–313. htts://doi.org/https://doi.org/10.17072/2218-9173-2020-2-291-313

  3. Basaev, Z.V., The digitalisation of the economy: Russia in the context of global transformation, Mir Nov. Ekon., 2018, vol. 12, no. 4, pp. 32–38. https://doi.org/10.26794/2220-6469-2018-12-4-32-38

    Article  Google Scholar 

  4. Zaichenko, I.M., Gorshechnikova, P.D., Levina, A.I., and Dubgorn, A.S., Digital transformation of business: Approaches and definitions, Nauchn. Zh. NIU ITMO, 2020, no. 2, pp. 205–212. https://doi.org/10.17586/2310-1172-2020-13-2-205-212

  5. Tikhonov, A.I., Sazonov, A.A., and Kuzmina-Merlino, I., Digital production and artificial in the aircraft industry, Russ. Eng. Res., 2022, vol. 42, no. 4, pp. 412–415.

    Article  Google Scholar 

  6. Sirotkina, N., Mishchenko, V., Greshonkov, A., and Kaminskiy, S., Challenges and opportunities of human potential in the conditions of technological breakthrough, Proc. 33th Int. Business Information Management Association Conf. (IBIMA), Spane, 2019, pp. 2180–2191.

Download references

Author information

Authors and Affiliations

  1. Moscow Aviation Institute, 125080, Moscow, Russia

    A. I. Tikhonov, A. A. Sazonov & S. V. Novikov

Authors
  1. A. I. Tikhonov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. A. Sazonov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. V. Novikov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to A. I. Tikhonov, A. A. Sazonov or S. V. Novikov.

Ethics declarations

The authors declare that they have no conflicts of interest.

Additional information

Translated by B. Gilbert

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tikhonov, A.I., Sazonov, A.A. & Novikov, S.V. Multilevel Digital Ecosystem for Manufacturing Enterprises: Attracting Venture Capital. Russ. Engin. Res. 43, 611–614 (2023). https://doi.org/10.3103/S1068798X23050350

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068798X23050350

Keywords:

Search

Navigation