The analysis of the network structures in high tech industrial enterprises

E.N. Gorlacheva¹; E.M. Ivannikova²; A.P. Vasilenko³

doi:10.18127/j22250980-202101-03

The analysis of the network structures in high tech industrial enterprises

E.N. Gorlacheva¹¹, E.M. Ivannikova²², A.P. Vasilenko³³

research article UDC 334.01 Pages: 23-35 doi.org/10.18127/j22250980-202101-03

Keywords: Network structures role distribution high tech industrial enterprises innovation management imitation modelling

Abstract

The relevance of information and the speed of its processing are of significant importance for high-tech industrial enterprises. To solve this problem, R&D departments are created within enterprises, but often all efforts are broken down by inefficient organizational structures.

Purpose of the research– identify patterns that will ensure the most productive work with innovations.

For the dissemination of new ideas in the enterprise, the role distribution of employees is more important. The impact of the ability to freely share information does not affect the results as much as the change in the ratio of different types of employees.

The determined share of conservative employees (30-40% of the total number) allows us to determine the optimal ratio of employees who test innovative ideas for adequacy, in order to maximize the number of successfully accepted ideas by the team.

Received: 09.03.2021
Approved after review: 10.03.2021
Accepted: 12.03.2021

How to cite

Горлачева Е.Н., Иванникова Е.М., Висиленко А.П. Анализ сетевых структур высокотехнологичных промышленных предприятий // Нанотехнологии: разработка, применение – XXI век. 2021. T. 13. № 1. С. 23 − 35. DOI: https://doi.org/10.18127/j22250980-202101-03.

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[1] Gorlacheva E.N. i dr. Kachestvo I tekhnologicheskiye innovatsii. Povysheniye nadezhnosti GIS i MIS SVCh / Pod red. A.G. Gudkova, V.V. Popova. Kn. 2. M.: Avantest. 2013. S. 5–33. (in Russian).

[2] Gorlacheva E.N. i dr. Kompleksnaya tekhnologicheskaya optimizatsiya. Povysheniye nadezhnosti GIS i MIS SVCh. Pod red. A.G. Gudkova, V.V. Popova. Kn. 1. M.: Avantest. 2012. S. 35–73. (in Russian).

[3] Gorlacheva E.N. i dr. Upravleniye znaniyami. Povysheniye nadezhnosti GIS i MIS SVCh: Monografiya. Pod red. V.N. Vyuginova, A.G. Gudkova, V.V. Popova. Kn. 3. M.: Avantest. 2016. S. 230–248. (in Russian).

[4] Gorlacheva E.N., Biteryakov M.A., Kuznetsov A.I. Upravleniye innovatsionnym razvitiyem vysokotekhnologichnogo naukoyemkogo predpriyatiya. Vestnik MGOU. Ser. Ekonomika. 2017. № 2. S. 114–122. (in Russian).

[5] Gorlacheva E.N., Gudkov A.G., Omelchenko I.N. Tekhnologii mezhfirmennogo vzaimodeystviya. M.: Sayns-Press. 2015. 184 s. (in Russian).

[6] Gorlacheva E.N., Kuznetsov A.I., Biteryakov M.A. Imitatsionnoye modelirovaniye sootnosheniya rabotnikov pri diffuzii innovatsiy. Kontrolling. 2016. № 61. S.10-19. (in Russian).

[7] Kurkina E.S., Knyazeva E.N. Setevaya revolyutsiya. Ekonomicheskiye strategii. 2017. № 5. S.128–137. (in Russian).

[8] Metodologiya issledovaniya setevykh form organizatsii biznesa. Pod nauch. red. M.Yu. Shereshevoy. M.: Izd. Dom VShE. 2014. 443 s. (in Russian).

[9] Oleskin A.V. Setevoye obshchestvo: neobkhodimost i vozmozhnyye strategii postroyeniya. Setevaya (retikulyarnaya) sotsialnoekonomicheskaya formatsiya: kvazisotsialisticheskiye printsipy i meritokratiya. M.: Lenand. 2016. 194 s. (in Russian).

[10] Rodzhers E. Kommunikatsii v organizatsiyakh. Pod red. L.I. Evenko. M.: Ekonomika. 1980. 176 s. (in Russian).

[11] Barabasi A.L. The network takeover. Nature Physics. 2012. V. 8. P. 14–16.

[12] Cross R. A Practical Guide to Social Networks. Harvard Review. 2005. № 83(3). P. 124–132.