Innovative approaches in digital modeling of regional economic processes

Beilin I.L.¹
¹ Казанский (Приволжский) федеральный университет, Russia

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Journal paper

Russian Journal of Innovation Economics ^{(РИНЦ, ВАК)}
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Volume 9, Number 2 (April-June 2019)

Citation:

Indexed in Russian Science Citation Index: https://elibrary.ru/item.asp?id=39206988
Cited: 9 by 07.12.2023

Abstract:
The article proposes for the first time the use of the method of analytical segmentation for the formation of regional investment portfolios of small innovative enterprises, based on a wide range of their own research and development. These are enterprises established in accordance with No. 209 FZ, for the support of which, in the first place, the programs of the Foundation for the Promotion of the Development of Small Enterprises in the Scientific and Technical Field (Foundation for the Promotion of Innovations) are directed. These include the programs "START", "Development", "Commercialization", "Cooperation". The digital model realizes the possibilities of the on-line segmentation correction mode and the investment share of regional innovation project portfolios depending on changes in the financial, economic, technological and operational characteristics of the innovation product. Based on network planning methods, an innovative digital investment model of a small innovative enterprise has been formed, a critical path and funding reserves have been determined.

Keywords: innovation management, digital economy, industrial economics, econometrics, modeling of economic processes

JEL-classification: O32, C02, R15

Highlights:

В статье представлены цифровые модели формирования инвестиционных портфелей в предприятия, реализующие комплекс инновационных проектов на собственных научно–технических разработках на региональном уровне.
Аналитическая сегментация в цифровой форме представляется эффективным инструментом группирования множества региональных инновационных проектов по множеству их технических, экономических, финансовых и эксплуатационных характеристик для большого числа инвесторов с различными требованиями.
Цифровые модели финансирования портфелей инновационных проектов секторальным методом и методом потенциалов сетевого планирования создают возможности проектирования критического пути и резервов финансирования.

References:

Aaltonen A., Seiler S. (2016). Cumulative growth in user-generated content production: Evidence from wikipedia Management Science. 62 (7). 2054–2069.
Anenberg E., Kung E. (2015). Information technology and product variety in the city: The case of food trucks Journal of Urban Economics. (90). 60-78.
Arnosti N., Beck M., Milgrom P. (2016). Adverse selection and auction design for internet display advertising American Economic Review. 106 (10). 2852–2866.
Ayres I., Banaji M., Jolls C. (2015). Race eﬀects on e-bay RAND Journal of Economics. 46 (4). 891-917.
Beilin I.L. (2006). Prikladnye svoystva novyh sopolimerov tsiklicheskikh karbonatov s izotsianatami razlichnogo stroeniya [Application properties of new copolymers of cyclic carbonates with isocyanates of different structure]. Plasticheskiye massy (Plastic masses). (4). 19-22. (in Russian).
Beilin I.L. (2012). Otsenka konkurentosposobnosti malogo innovatsionnogo predpriyatiya po FZ 217 [Evaluation of competitiveness of small innovative enterprises of the Federal law 217]. Bulletin of Kazan National Research Technological University. 15 (21). 173-174. (in Russian).
Beilin I.L. (2018). Trekhfaktornaya model upravleniya ustoychivostyu innovatsionnogo khimicheskogo proekta v usloviyakh ekonomicheskoy neopredelennosti [Three-factor model for managing the sustainability of an innovative chemical project under conditions of economic uncertainty]. Russian Journal of Innovation Economics. 8 (1). 141-154. (in Russian). doi: 10.18334/vinec.8.1.38859.
Beilin I.L., Arkhireev V.P., Galibeev S.S. (2004). Izuchenie anionnoy sopolimerizatsii propilenkarbonata s izotsianatami [The study of the anionic copolymerization of isocyanates with propylenecarbonate]. Bulletin of Kazan National Research Technological University. (1). 369-374. (in Russian).
Beilin I.L., Arkhireev V.P., Galibeev S.S., Azimov Yu.I. (2006). Novye poliamidoefiry na osnove propilenkarbonata [New propilencarbonate-based polyamidethers]. Chemistry and chemical technology. 49 (1). 108-112. (in Russian).
Beilin I.L., Arkhireev V.P., Nefedova M.A. (2006). Anionnaya sopolimerizatsiya tsiklicheskikh karbonatov s monoizotsianitami [Anionic copolymerization of cyclic carbonates with monoisocyanates]. Bulletin of Kazan National Research Technological University. (1). 163-169. (in Russian).
Beilin I.L., Arkhireev V.P., Nefedova M.A. (2006). Sintez i struktura novyh sopolimerov tsiklicheskikh karbonatov s monoizotsianatami [Synthesis and structure of new copolymers of cyclic carbonates with monoisocyanates]. Plasticheskiye massy (Plastic masses). (1). 23-27. (in Russian).
Beilin I.L., Khomenko V.V. (2017). Upravlenie sebestoimostyu innovatsionnogo khimicheskogo proekta na osnove podkhodov nechetkoy logiki [Cost management of an innovative chemical project based on fuzzy logical approaches]. Russian Journal of Innovation Economics. 7 (4). 437-448. (in Russian). doi: 10.18334/vinec.7.4.38663.
Beilin I.L., Khomenko V.V. (2018). Ekonomicheskaya otsenka optimalnoy proizvoditelnosti innovatsionnogo predpriyatiya s uchetom tsiklichnosti ego razvitiya [Economic evaluation of the optimum performance of an innovative enterprise with the account of the cyclicity of its development]. Russian Journal of Innovation Economics. 8 (3). 499-512. (in Russian). doi: 10.18334/vinec.8.3.39384.
De Corniere A. (2016). Search advertising American Economic Journal: Microeconomics. 8 (3). 156–188.
Doleac J.L. (2017). The eﬀects of databases on crime American Economic Journal: Applied Economics. 9 (1). 165-201.
Honka E. (2014). Quantifying search and switching costs in the us auto insurance industry RAND Journal of Economics. 45 (4). 847–884.
Lambrecht A., Misra K. (2017). Fee or free: When should ﬁrms charge for online content? Management Science. 63 (4). 1150–1165.
McElheran K. (2014). Delegation in multi-establishment ﬁrms: Evidence from I.T. purchasing Journal of Economics and Management Strategy. 23 (2). 225-258.
Rao A. (2015). Online content pricing: Purchase and rental markets Marketing Science. 34 (3). 430–451.
Salakhutdinov R.Z., Ismagilov I.I. (2005). Modelirovanie i prinyatie resheniy v ekonomike na osnove teorii nechetkikh mnozhestv [Modelling and decisions in Economics based on the theory of fuzzy sets] Kazan: KGU. (in Russian).
Scott S.L., Varian H.R. (2015). Bayesian Variable Selection for now casting Economic Time Series University of Chicago Press. 119-135.
Simcoe T. (2012). Standard setting committees: Consensus governance for shared technology platforms American Economic Review. 102 (1). 305-336.
Tambe P., Hitt L.M., Brynjolfsson E. (2012). The extroverted: How external information practices a_ect innovation and productivity Management Science. 58 (5). 843-859.
Tucker C. (2014). Social networks, personalized advertising, and privacy controls Journal of Marketing Research. 51 (5). 546-562.
Varian H.R. (2005). Copying and copyright Journal of Economic Perspectives. 19 (2). 121-138.
Waldfogel J. (2016). Cinematic explosion: New products, unpredictability and realized quality in the digital era Journal of Industrial Economics. 64 (4). 755-772.
Waldfogel J.,Reimers I. (2015). Storming the gatekeepers: Digital disintermediation in the market for books Information Economics and Policy. 31 (С). 47-58.
White A. (2). Search engines: Left side quality versus right side International Journal of Industrial Organization. 31 (6). 690-701.
Yang H. (2013). Targeted search and the long tail RAND Journal of Economics. 44 (4). 733-756.
Zhang J., Liu P. (2012). Rational herding in microloan markets Management Science. 58 (5). 892-912.

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