Modeling of innovative processes of regional development
DOI:
https://doi.org/10.46502/issn.2712-8024/2021.4.2Keywords:
management, innovation, efficiency, sustainability, evolution, systems analysis.Abstract
Innovative processes in the development of the region are essential. It’s necessary to effectively investigate and manage them. In Russia, increased requirements for innovation, innovative digital interactions, and infrastructures. The purpose of the work is system analysis and modeling of regional development processes, testing of the built model. The evolutionary potential of the region is also being explored. The work uses methods of system analysis, decision-making, mathematical modeling, situational and comparative analysis. For stable and dynamic regions, various system goals of innovative development are considered: corporate, business-oriented, functional, production, etc. The main results of the article: analysis of systemic problems and solutions for the innovative development of regions, the construction and study of a model of dynamics of evolution, potential and indices in the conditions of a variety of innovative changes (diffusion, innovation, investment, etc.). Uncertainties in the environment (restructuring in the region) are also taken into account. The task of identification of the constructed model, possibility of situational forecasting and support of strategic management with its help is considered. The test example for the model takes into account the dynamics of funds and the consumption of the situation. The dynamic characteristics of regional innovation should lead to qualitative changes, and the sustainability of the region is determined by the dynamic relationships of structures. Therefore, it’s important to consider synergistic interactions such as "region – innovation – investment – evolutionary potential". The model we have discussed can also be complicated and improved by complicating the submodels involved and the modeling hypotheses considered. But in this form, it’s suitable for relevant situational modeling.
References
Drobyazko, M. (2017). Science and society: Collection of scientific articles. Roma, Italia: Edizioni, pp. 100-106.
Fagerberg, J. (2002) Technology, Growth and Competitiveness. Oxon: Eduard Elgar Publishing, 17 p. URL: http://www.janfagerberg.org/wp-content/uploads/2013/09/Intro-fagerberg-20021.pdf (date: 28.07.2021).
Gurman, V.I. (2003) Modeling of sustainable development taking into account innovative processes. Economics and mathematical methods, No. 39(1), pp.3-11.
Kaziev, V.M. (2007) Introduction to the analysis, synthesis and modeling of systems. M.: Binom. Knowledge Lab. 244 p.
Kleiner, G. (2018). Humanistic management, social management, system management - the path to management of the 21st century. Russian Management Journal, No. 16(2), pp. 231-252. https://doi.org/10.21638/spbu18.2018.204
Katukov, D.D., Malygin, V.E., & Smorodinskaya, N.V. (2019) Factor of creative destruction in modern models and policies of economic growth. Economic issues, No. 7, pp. 95-118. https://doi.org/10.32609/0042-8736-2019-7-95-118.
Kochetkov, E.P. (2018) Digital transformation of the economy and technological revolutions: challenges for the current paradigm of management and anti-crisis management, Strategic decisions and risk management, 10(4), pp. 330–341. DOI: 10.17747/2618-947X-2019-4-330-341
Montague, P.R., & Berns, G.S. (2002) Neural Economics and the Biological Substrates of Valuation. Neuron, vol. 36, pp. 265-284. DOI: 10.1016/S0896-6273(02)00974-1.
Nikonorov, S.N., Solovyeva, S.V., & Sitkina, K.S. (2020). Sustainable development of Volga regions and cities. M.: Moscow State University named after M.V. Lomonosov, 255 p. ISBN 978-5-906932-49-5.
Porokhovsky, A.A., & Sorokin, A.V. (2021) International and national in economic development in the 21st century (in the light of economic theory) M.: Publishing House of Moscow State University named after M.V. Lomonosov, 374 p. ISBN 978-5-906932-67-9
Sahal, D. (1981) Patterns of Technological Innovations. N-Y. Addison-Wesley Publishing Co, Inc. Reading, Massachusetts 01867, USA.
Smorodinskaya, N.V., Katukov, D.D., & Malygin, V.E. (2019) Schumpeterian GROWTH theory in the context of the innovation-led transition of economies. Journal of Institutional Studies, No. 11(2), pp. 60-78. DOI: 10.17835/2076-6297.2019.11.2.060-078.
Salikhova, I.S. (2019) Structural innovations in the paradigm of sustainable progressive development. Bulletin of the Academy of Law and Management, No. 2(55), p. 20.
Vaibhav, K. (2018) Predictive Analytics: A Review of Trends and Techniques. International Journal of Computer Applications, No. 182(1), pp. 31-37 DOI:10.5120/ijca2018917434
Zhukov, V.I., & Komarov, M.M. (2017) Using the web analytics system as the basis for integration with CPA services. Business informatics, No. 4(42), pp. 47-54.
