Evaluation of Scientific-Technological Programs and Projects of the Full Innovation Cycle During Their Selection and Implementation based on the Application of Scientific-Technological Forecasting Results
https://doi.org/10.18384/2310-6646-2022-4-18-36
Abstract
Aim. To consider the possibilities of applying the results of scientific-technological forecasting in assessing scientific-technological programs and projects of the full innovation cycle.
Methodology. Methods of system analysis, comparison, generalization, induction and deduction were used in the research.
Results. The authors reveal the features of project management of the full innovation cycle, the criteria that are used in the selection of projects and the results of scientific-technological forecasting that can be used for assessment in the selection and implementation of projects. The features of the formation of scientific and technological forecasts and their main results are shown. The aspects of assessing the progress of projects by the level of technology readiness are considered. The technology of forecasting the level of equipment and technologies readiness for various development scenarios is shown. The methodology of choosing the best management decisions for the development of the project based on the forecast of the technologies readiness level and evaluation of management decisions effectiveness for various development scenarios is given.
Research implications. The theoretical significance of the article lies in the development of scientific and methodological recommendations on the use of the results of scientific and technological forecasting for the implementation of the selection and evaluation of the feasibility of projects of the full innovation cycle. The study has practical significance, which consists in applying the results of cognitive forecasting when choosing projects for implementation, as well as assessing the feasibility of these projects, which will allow more efficient use of budget funds allocated for the development of projects of the full innovation cycle.
About the Authors
S. S. GolubevRussian Federation
Sergey S. Golubev – Dr. Sci. (Economics), Prof., Department of the Center for Forecasting the Development of Science Federal state unitary enterprise
Sadovaya Kudrinskaya 11, str. 1, Moscow 123242
R. M. Gasanov
Russian Federation
Rauf M. Gasanov – Dr. Sci. (Law), Assoc. Prof., General Director of Federal state unitary enterprise
ul. Sadovaya Kudrinskaya 11, str. 1, Moscow 123242
A. V. Zheltenkov
Russian Federation
Alexander V. Zheltenkov – Dr. Sci. (Economics), Prof., Department of Project and Functional Management
ul. Very Voloshinoi 24, Mytishchi 141014, Moscow Region
References
1. Avdeeva Z. K., Kovriga S. V. Formirovanie strategii razvitiya social'no-ekonomicheskih ob"ektov na osnove kognitivnyh kart [Formation of a strategy for the development of socio-economic objects based on cognitive maps]. Saarbrucken, LAP LAMBERT Academic Publishing GmbH & Co. KG, 2011. 184 p.
2. Afanasyev A. L., Golubev S. S., Kuritsyn A V. [Methods and tools for forming a list of promising technological directions for the development of the defense industry on the basis of building road maps]. In: Nauchnyj vestnik oboronno-promyshlennogo kompleksa Rossii [Scientific Bulletin of the military-industrial complex of Russia], 2018, no. 1, pp. 6–18.
3. Afanasyev A. L., Golubev S. S., Kuritsyn A. V. [Ontologies of scientific and technological forecasting in the interests of ensuring the defense and security of the state]. In: Ontologiya proektirovaniya [Design ontology], 2020, vol. 10, no. 3 (37), pp. 393–407.
4. Belykh T. I. [Using the method of artificial intelligence implementation in forecasting] In: Izvestiya Baykalskogo gosudarstvennogo universiteta [Proceedings of the Baikal State University], 2018, vol. 28, no. 3, pp. 500–507.
5. Vasetskaya N. O., Fedotov A. V. [Analysis of the problems of implementation and evaluation of the effectiveness of scientific-technological programs of the full innovation cycle]. In: Herald of Omsk University. Series: Economics, 2020, no. 18(3), pp. 5–16.
6. Golubev S. S., Dovguchits S. I. [Priority directions of development of science, technology and technology in the interests of ensuring the defense and security of the state (national security)]. In: Ekonomicheskie strategii [Economic strategy], 2020, no. 5, pp. 30–41.
7. Golubev S. S., Afanasyev A. L., Kuritsyn A. V. [Application of artificial intelligence technologies in scientific and technological forecasting]. In: Prikladnaya informatika [Applied Informatics], 2022, vol. 17, no. 4, pp. 57–74.
8. Zavadskaya V. V., Sarsenova D. R. [The impact of sanctions on the Russian economy]. In: Molodoj uchyonyj [Young scientist], 2017, no. 10, pp. 232–235.
9. Petrov A. N., Komarov A. V. [Assessment of the level of technological readiness of competitive applications using the methodology of TRLP]. In: Ekonomika nauki [Economics of Science], 2020, vol. 6, no. 1–2, pp. 88–99.
10. Ryzhkova Yu. A., Batova V. N. [The impact of sanctions on the Russian economy]. In: Azimut nauchnyh issledovanij: ekonomika i upravlenie [Azimuth of scientific research: Economics and Management], 2015, no. 2 (11), pp. 62–65.
11. Masood А., Ahmad K. A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance. In: Journal of Cleaner Production, vol. 322. Available at: https://www.sciencedirect.com/journal/journal-of-cleanerproduction (accessed: 06.09.2022).