Subject. Socioeconomic relations that arise in the process of initiating the collection of project applications and the selection of innovative projects within the framework of the cycle of formation of a regional innovative development programme. Objectives. Development of methodological provisions for the formation of a program for the innovative development of the region based on a risk-based approach within the framework of the program-targeted management method. Methods. Empirical and theoretical methods (analogy, abstraction, deduction, etc.), a systems approach, an expert calculation method, as well as the construction of a Rummler–Brach diagram were used. Results. The process of selecting projects for the innovative development program of the region is considered. From a practical point of view, this allows responsible performers to promptly make managerial decisions during the project selection process. Such performers include relevant committees, executive bodies of state power, as well as industrial enterprises, business structures, the scientific community and investors. As part of the development of methodological provisions for the formation of a regional innovation development program, an analysis of existing methods for selecting projects for regional innovation development programs has been carried out. An organizational and functional model for selecting projects for the innovative development program of the region has been developed. An algorithm for assessing the compliance of innovative projects with the acceptable level in terms of the parameters of scientific, technical, socioeconomic and environmental development of the region is proposed. Conclusions. The developed methodological provisions based on a program-oriented risk-based approach make it possible to select innovative projects that primarily meet the goals and objectives of regional socioeconomic development, meet acceptable risk appetite, and also have a synergistic effect within the framework of the program. Further research directions have been identified on the formation of a preferred program for the innovative development of the region, balanced in terms of resources, performers, timing of implementation, sources of financing and level of risks.
Keywords: innovation project, innovative development programme, region, risk-based approach
References:
Tronina I.A., Tatenko G.I., Grekova A.E. [Innovative infrastructure as a driver of regional development]. Vestnik Voronezhskogo gosudarstvennogo universiteta. Seriya: Ekonomika i upravlenie, 2020, no. 3, pp. 101–112. (In Russ.) DOI: 10.17308/econ.2020.3/3109 EDN: YJGSOH
Breul M., Hulke C., Kalvelage L. Path Formation and Reformation: Studying the Variegated Consequences of Path Creation for Regional Development. Economic Geography, 2021, vol. 97, iss. 3, pp. 213–234. DOI: 10.1080/00130095.2021.1922277
Rodríguez-Pose A., Ketterer T. Institutional change and the development of lagging regions in Europe. Regional Studies, 2020, vol. 54, iss. 7, pp. 974–86. DOI: 10.1080/00343404.2019.1608356
Szendi D. The Social Innovation Potential of the Northern Hungarian Region. European Journal of Social Sciences, 2021, vol. 4, iss. 1, pp. 106–123. DOI: 10.26417/316hcf49e
Ruposov V.L. [Methods to determine a number of experts]. Vestnik Irkutskogo gosudarstvennogo tekhnicheskogo universiteta, 2015, no. 3, pp. 286–292. (In Russ.) EDN: TMYXVP
Postnikov V.M. [Analysis of approaches to formation of expert group membership focused on preparing and making decisions]. Nauka i obrazovanie: nauchnoe izdanie MGTU im. N.E. Baumana, 2012, no. 5. (In Russ.) EDN: PGRQCN
Zagorskaya A.V., Lapidus A.A. [Application of expert judgments methods in scientific research. determination of the required number of experts]. Stroitel'noe proizvodstvo, 2020, no. 3, pp. 21–34. (In Russ.) DOI: 10.54950/26585340_2020_3_21 EDN: TKKKCO
Willerman B. The adaptation and use of Kendall’s Coefficient of Concordance (W) to sociometric-type rankings. Psychological Bulletin, 1955, vol. 52, iss. 2, pp. 132–133. DOI: 10.1037/h0041665
Koch R. Printsip 80/20 [The 80/20 Principle]. Moscow, Eksmo Publ., 2012, 443 p. EDN: QVEZNF
Knight F. Risk, neopredelennost' i pribyl' [Risk, Uncertainty and Profit]. Moscow, Delo Publ., 2003, 360 p.
Whitaker R. The Analytic Hierarchy Process – What It Is and How It Is Used. Mathematical Modeling, 1987, vol. 9, iss. 3-5, pp. 161–176. DOI: 10.1016/0270-0255(87)90473-8
Saaty T.L. Analytic Hierarchy Process. In: Gass S.I., Fu M.C. (eds) Encyclopedia of Operations Research and Management Science. Springer, Boston, MA, 2013, pp. 52–64. DOI: 10.1007/978-1-4419-1153-7_31
