Regulation of the Dynamics of Creating High-Tech Products

  • Authors

    • Aleksandr Batkovskiy
    • Aleksandr Leonov
    • Aleksey Pronin
    • Alexander Chursin
    • Evgeniy Nesterov
    2018-07-25
    https://doi.org/10.14419/ijet.v7i3.14.16904
  • Regulation, Dynamics, Complex Models, Science-Intensive Products, High-Tech Products

  • Abstract

    The existing models for regulating the dynamics of the creation of science-intensive products are very fragmented; they are based on various initial data and do not allow giving a comprehensive assessment of the feasibility of RandD for the creation of science-intensive products within a given time, especially in risk.

    Financial and economic risk; scientific, industrial and technological risk. Taking into account these types of risk, we introduce a methodical tool. This is a complex model for regulating economic dynamics designed for a probabilistic and cost description of the dynamics and results of the creation of science-intensive products.

    The model provides a complex tech-economic evaluation of projects to develop high-tech products in risk. This model has a universal character and can be used in all branches of economics of a technologically developed country. In practice, this complex model can be useful at the stage of selection of competing organizations designs with the purpose of evaluating their capacity to implement projects, as well as at the stage of adjusting the funding plan and cost estimates for the creation of science-intensive products.

    This model may be used in planning bodies to assess the capabilities of design organizations in the implementation of orders for the creation of science-intensive products.

     

     

  • References

    1. [1] V.M. Burenok, G.A. Lavrinov, A.G. Podolsky, Otsenka stoimostnech pokazatelei vysokotekhnologichnoi produktsii [Estimation of cost indexes of high-tech products], Publishing Group "Border", Moscow, 2012.

      [2] G. Villani, Valuation of RandD Investment Opportunities with the Threat of Competitors Entry in Real Option Analysis, Computational Economics 43(3) (2014) 331-355.

      [3] E. Khrustalev, O. Khrustalev, Modelirovanie zhiznennogo tsikla programmy sozdania naukoemkoi produktsii [Simulation of creating High technology products of theprogram life cycle], Ekonomicheskiy analiz: teoria i praktika [Economic analysis: theory and practice] 16(271) (2012) 2-12. https://cyberleninka.ru/article/n/modelirovanie-zhiznennogo-tsikla-programmy-sozdaniya-naukoemkoy-produktsii. Accessed July 2, 2018.

      [4] Ely, P. van Zwanenberg, A. Stirling, Broadening out and opening up technology assessment: Approaches to enhance international development, co-ordination and democratization, Research Policy 43(3) (2014) 505-518.

      [5] G. Wei, X. Zhao, H. Wang, R. Lin, An Approach to Potential Evaluation of Emerging Technology Commercialization with Intuitionistic Trapezoidal Fuzzy, Journal of Convergence Information Technology 8(1) (2013) 588-597.

      [6] V. Belenkii, Optimizatsionnye modeli economicheskoi dinamiki: poniatiinyii apparat: odnomerniemodeli [Optimization models of economic dynamics: the conceptual apparatus: one-dimensional models], Nauka, Moscow, 2007.

      [7] V. Znamenskii, Strukturirovanie ekonomicheskoi sistemy v tseliakh upravlenia ekonomicheskoi dinamikoi [Structuring of the economic system for the management of economic dynamics], Elektronnyi nauchnyi zhurnal: upravlenie ekonomicheskimi sistemami [Electronic scientific journal: Management of economic systems] 12(48) (2012) 101-112. https://cyberleninka.ru/article/n/strukturirovanie-ekonomicheskoy-sistemy-v-tselyah-upravleniya-ekonomicheskoy-dinamikoy. Accessed July 2, 2018.

      [8] V. Znamenskii, Dinamika ekonomicheskikh system i tsikly [The dynamics of economic systems and cycles], Elektronnyi nauchnyi zhurnal: upravlenie ekonomicheskimi sistemami [Electronic scientific journal: Management of economic systems] 9 (2012) 31-49. https://cyberleninka.ru/article/n/dinamika-ekonomicheskih-sistem-i-tsikly. Accessed July 2, 2018.

      [9] Kamae, T. Sugimoto, K. Yamabe, Value-Based Pricing Scheme for new Technology in Consideration of Cost-Effectiveness Dominance to the Control, Value in Health 18(7) (2015) A732.

      [10] Voronov, Metodologiia geopoliticheskogo analiza teoreticheskogo i metateoreticheskogo urovnei v kontekste vliianiia na economicheskuiu dinamiku natsionalnykh ekonomicheskikh sistem [The Methodology of geopolitical analysis, theoretical and metatheoretic levels in the context of the impact on economic dynamics of national economic systems], Perspektivy nauki [Prospects of science] 4(67) (2015) 154-157.

      [11] V. Znamenskii, E. Vagina, Fenomeny, okazyvaiushche otritsatelnoe vliianie na ekonomicheskuiu dinamiku [Phenomena that have a negative impact on economic dynamics], Upravlenie riskom [Risk management] 2(66) (2013) 8-17.

      [12] Kopoteva, K modelirovaniiu vklada nauchno-tekhnicheskogo progressa v ekonomicheskuiu dinamiku [Modeling of the contribution of scientific and technological progress in economic dynamics], Fundamentalnye issledovaniia [Basic research] 7 (2008) 107-108.

      [13] M. Calderon, The Pillars of Cost-Effectiveness: A Practical Guideline for New Technology Cost-Effective Decision-Making, Value in Health 18(3) (2015) A102.

      [14] A.M. Batkovskiy, A.V. Leonov, A.Yu. Pronin, E.G. Semenova, A.V. Fomina, Models of Economic Evaluation of High-Tech Products, Indian Journal of Science and Technology 9(27) (2016) 230–241. DOI: 10.17485/ijst/2016/v9i28/97660.

      [15] P. Steffens, E. Douglas, Valuing technology investments: use real options thinking but forget real options valuation, International Journal of Technoentrepreneurship 1(1) (2007) 58-77.

      [16] C. Ullrich, Valuation of IT Investments Using Real Options Theory, Business and Information Systems Engineering 5(5) (2013) 331-341.

      [17] V. Lebedev, K. Lebedev, Matematicheskoe i kompiuternoe modelirovanie economiki [Mathematical and computer modeling of the economy], HVT-Dizain, Moscow, 2002.

      [18] L. Leite, J. Teixeira, C. Samanez, Ex-ante economic assessment in incremental RandD projects: technical and development time uncertainties addressed by the real options theory, Pesquisa Operacional 32(3) (2012) 617-642.

      [19] K. Bagrinovskii, M. Bendikov, E. Khrustalev, Sovremennye metody upravlenia tekhnologicheskim razvitiem [Modern methods of technological development management], ROSSPEN, Moscow, 2001.

      [20] F.P. Boer, The Valuation of Technology: Business and Financial Issues in RandD. Operations Management Series, Wiley, Hoboken, 1999.

      [21] M. Langdon, M. Ma, P.C. Wu, Agile Innovation: The Revolutionary Approach to Accelerate Success, Inspire Engagement, and Ignite Creativity, Wiley, Hoboken, 2014.

      [22] M. Wingate, Project Management for Research and Development: Guiding Innovation for Positive RandD Outcomes Series: Best Practices and Advances in Program Management, CRC Press, 2013.

      [23] L. Keeley, H. Walters, R. Pikkel, Ten Types of Innovation: The Discipline of Building Breakthroughs, Wiley, Hoboken, 2013.

      [24] D. Harris, B. Villadsen, L. Koble, Risk and Return for Regulated Industries, Elsevier Academic Press, 2017.

      [25] E. Ries, The Lean Startup: How Today's Entrepreneurs Use Continuous Innovation to Create Radically Successful Businesses, Crown Business, 2011.

      [26] C.M. Christensen, The innovator's dilemma, Harvard Business Review Press, Boston, 2016.

      [27] M. Dodgson, D.M. Gann, A. Salter, The Management of Technological Innovation: Strategy and Practice, Oxford University Press, Oxford, 2008.

      [28] J. Tidd, J. Bessant, Managing Innovation: Integrating Technological. Market and Organizational Change, Wiley, Hoboken, 2013.

      [29] M. Calderon,O.A. Salvatierra, R. Roording, The New Technology Cost-Effectiveness Checklist: Introducing a Practical Guideline for the Selection of Health Technologies, Value in Health 18(7) (2015) A569.

      [30] Matveev, D. Novikov, A.V. Tsvetkov, Modeli i metody upravlenia portfeliami proektov [Models and methods of project portfolio management], PMSOFT, Moscow, 2005.

      [31] J. Cho, J. Lee, Development of a new technology product evaluation model for assessing commercialization opportunities using Delphi method and fuzzy AHP approach, Expert Systems with Applications 40(13) (2013) 5314-5330.

      [32] W. Woertman, G. van De Wetering, E. Adang, Cost-Effectiveness on a Local Level: Whether and When to Adopt a New Technology, Medical Decision Making 34(3) (2013) 379-386.

      [33] A.M. Batkovskiy, M.A. Batkovskiy, E.G. Semenova, A.V. Fomina, E.Yu. Khrustalev, Linguistic Analysis of High-Tech Production Complex, Mediterranean Journal of Social Sciences 6(4) 2015 130-139. DOI: 10.5901/mjss.2015.v6n4s4p130.

      [34] V. Klochkov, A. Dutov, Model upravlenia prikladnymi issledovaniami i razrabotkami v naukoemkoi promyshlennosti [Management model applied research and development in the knowledge-based industry], Ekonomicheskiy analiz: teoria i praktika [Economic analysis: theory and practice] 35(290) (2012) 9-1.

      [35] B. Amendola, Cost effectiveness in new technologies, Reports of Practical Oncology and Radiotherapy 18(1) (2013) 9-11.

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  • How to Cite

    Batkovskiy, A., Leonov, A., Pronin, A., Chursin, A., & Nesterov, E. (2018). Regulation of the Dynamics of Creating High-Tech Products. International Journal of Engineering & Technology, 7(3.14), 261-270. https://doi.org/10.14419/ijet.v7i3.14.16904

    Received date: 2018-08-05

    Accepted date: 2018-08-05

    Published date: 2018-07-25