High-tech production managing with account for requirements of economic security (on the example of aircraft building)

Economics


Аuthors

Efimova N. S.1*, Volenko A. K.1, Kanashova Y. G.2

1. Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia
2. Center of Methodology of Control and Audit Ministry of Education and Science of the Russian Federation, 33, bld. 4, Talalikhina str., Moscow, 109316, Russia

*e-mail: efimova_ns@mail.ru

Abstract

Presently it is necessary to develop highly effective assessment of high-tech enterprises economic security level as each aircraft building enterprise needs integrated self-concept of its production-commercial and financial-economic activities.

The main objective of assessment of the level of production activity economic security is assessment of risks on integrated system of indicators accounting for specific branch features at the enterprises of high-tech industries. The authors recommend employ the hi-tech enterprises' risks assessment based on a qualitative or interval method. Internal self-concept of state of production of aeronautical engineering development, and assessment of production development dynamics of the enterprise should be the main task of high-tech production monitoring.

The internal self-assessment of a production condition of creation of the aircraft equipment and assessment of dynamics of development of production of the enterprise have to be the main objective of monitoring of hi-tech enterprise. For this purpose, it is necessary to employ the technique, which would describe the main approaches and basic self-concept procedures for the risks of production departments of high-tech enterprises.

The article considered and developed managing system for high-tech production with account for economic security requirements, which will allow ensuring the raise of high-tech products competitiveness.It suggests assessment indicators for probability category of economic security factors coming-in, risks register, and risks map in high-tech branches of the industry.

Developing the system of economic security of production activity in aircraft building will allow forecast the aftermath of internal and external hazards on both production processes, and high-tech enterprises' activities at large. Implementation of the above said procedures at the aircraft building enterprises will allow ensure the necessary level of economic security, as well as optimize production processes at the enterprises of high-tech industry branches.

Keywords:

high-tech industry, economic security, economic risks, economic security criteria, card of risks, model of assessment of threats, criteria of economic security, register of production-commercial risks

References

  1. Strategii ekonomicheskoi bezopasnosti Rossiiskoi Federatsii do 2030 goda. Ukaz Prezidenta Rossiiskoi Federatsii ot 13 maya №208 (On the Strategy of economic security of the Russian Federation until 2030. Decree of the President of the Russian Federation of May 13 No. 208), available at: http://www.garant.ru/products/ipo/prime/doc/71572608/

  2. Razvitie aviatsionnoi promyshlennosti na 20132025 gody. Gosudarstvennaya programma Rossiiskoi Federatsii (Development of aircraft industry for 2013-2025. State program of the Russian Federation), available at: http://minpromtorg.gov.ru/common/upload/files/docs/Vizualizatsiya_GP_RAP_140507.pdf

  3. Ob utverzhdenii gosudarstvennoi programmy Rossiiskoi Federatsii “Razvitie aviatsionnoi promyshlennosti na 2013 – 2025 gody”. Postanovlenie Pravitel'stva RF ot 15 aprelya 2014 g. No 303 (On approval of the state program of the Russian Federation “Development of aviation industry for 2013–2025”. Decree of RF Government dated 15 April 2014 No. 303), available at: http://base.garant.ru/70644068/#ixzz4yoDQGQaZ

  4. Adler P.S. The future of critical management studies: A Paleo-Marxist critique of labour process theory. Organization Studies. 2007, no. 28(9), pp. 1313-1345.

  5. Berger R. Industry 4.0 - The New Industrial Revolution. Roland Berger Strategy Consultants, 2014, https://www.rolandberger.com/en/Publications/pub_industry_4_0_the_new_industrial_revolution.html

  6. Chen J.K.C., Sun B.S.S., Batchuluun A. Exploring the influence factors for creation one Knowledge hub of Science Park: Comparison between Silicon Valley and Hsinchu Science Park. Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, Proceedings, 2017, pp. 1156-1171.

  7. De Sousa Damiani, J.H. Regional development in Brazil and the challenges facing technology-intensive cities: A proposal for a framework of a municipal innovation system. Portland International Conference on Management of Engineering and Technology: Technology Management For Social Innovation, 2017, pp. 510-522.

  8. Hong X., Zhao D., Wang Z. Managing technology licensing for stochastic R&D: from the perspective of an enterprise information system. Enterprise Information Systems, 2016, pp. 845-862.

  9. Huys R., Ramioul M.,Van Hootegem G. High performance workplaces: Background paper for the Third European Company Survey. European Foundation for the Improvement of Living and Working Conditions, Dublin, 2013, 13 p.

  10. Ingvaldsen J.A. Organizational Learning: Bringing the Forces of Production Back in. Organization Studies. 2015, vol. 36, issue 4, pp. 423-444.

  11. Ingvaldsen J.A.,Holtskog H.,Ringen G. Unlocking work standards rough systematic work observation: Implications for team supervision. Team Performance Management: An International Journal, 2013, vol. 19, issue 5/6, pp. 279-291.

  12. Kim J., MacDuffie J.P., Pil F.K. Employee voice and organizational performance: Team versus representative influence. Human Relations, 2010, vol. 63, issue 3, pp. 371-394.

  13. Lee B.H. The political economics of industrial development in t Korean automotive sector. International Journal of Automotive Technology and Management, 2011, vol. 11, issue 2, pp. 137-151.

  14. Li C., Bai Y., Xiang X., Xie X. To mine coordinated development degrees of high-tech equipment manufacturing industry and logistics industry via an improved grey hierarchy analysis model. Journal of Grey System, 2017, vol. 29, issue 1, pp. 105-119.

  15. Lyu J., Wang W., Ren Y., Feng W., Zhao J. An evaluation method for use phase affordability of aviation equipment. International Conference on System Reliability and Science (ICSRS 2016), 2016, pp. 42-45.

  16. Manturov D.V., Efimova N.S. Vooruzhenie i ekonomika, 2012, no. 3(19), pp. 50-55.

  17. Kalachanov V.D., Efimova N.S., Kalachanov V.V., Novikov S.N. Ekonomicheskaya bezopasnost' deyatelnosti organizatsii (The economic security of the organization), Moscow, Analiticheskii tsentr, 2015, 257 p.

  18. Efimova N.S. Vestnik Moskovskogo aviatsionnogo instituta, 2015, vol. 22, no. 2, pp. 214-220.

  19. Kalachanov V.D., Efimova N.S., Sorokin A.E. Organizator proizvodstva, 2014, no. 1(60), pp. 23-29.

  20. Manturov D.V., Kalachanov V.D. Organizator proizvodstva, 2012, no. 4(55), pp. 62-67.

mai.ru — informational site of MAI

Copyright © 1994-2024 by MAI