Preview

Territory Development

Advanced search

INFORMATION PROCESSES IN THE FORMATION OF HYPE CYCLES

https://doi.org/10.32324/2412-8945-2021-2-76-82

Abstract

A paradigm shift in the use of information technologies in modern socio-economic systems is shown. Information processes and digital technologies expand the scope of the main activities of employees, enterprises, organizations, institutions and play an active role in the formation of value chains, consumer preferences, as well as in the convergence of cognitive and information technologies with the support and decision-making both in production processes and in the formation of volatile trends in goods and services markets, etc. The regularities of the use of information about the properties and characteristics of goods and services offered to customers, as well as the reaction in the form of formed demand in accordance with the needs at all levels of the Maslow pyramid are established. In addition, it shows the patterns of influence of the information reflecting the experience of using products by predecessors on the preferences of followers. It is established that the simultaneous impact of positive and negative information forms multidirectional trends in the dynamics of demand in the markets of goods and services. A mathematical model of the influence of information processes on the dynamics of product distribution has been developed and verified. The model includes a mathematical description of the hype processes of the formation of growth and decline trends, as well as their joint manifestation, and with a different time manifestation. It is based on the solution of differential equations of both positive and negative impacts of information processes on economic systems and their actors. The resulting generalized mathematical model is an instrumental tool for the quantitative representation of hype cycles, the qualitative analogue of which is the Gartner cycles, which are widely used today for managing the production activities of enterprises, projects, as well as for positioning innovative products in the life cycles of their market distribution.

About the Author

V. F. Minakov
Saint Petersburg State University of Economics
Russian Federation

Vladimir F. MINAKOV — Doctor of Technical Sciences, Professor of the Department of Computer Science



References

1. Aliev S.A., Chernyavskii A.V. Sovershenstvovanie biznes-protsessov funktsionirovaniya informatsionnykh sistem v byudzhetno-finansovoi sfere. Modern Economy Success, 2020, no 4, pp. 204—210.

2. Golubenko N.Yu., Vavrinyuk S.A. Protsess vyyavleniya informatsionnykh operatsii. Innovatsii. Nauka. Obra zovanie, 2020, no 18, pp . 261—266.

3. Zhashkova T.V., Kolobova E.A., Buchenkov O.V. Optimizatsiya informatsionnogo protsessa vybora postavshchikov dlya zakupki tovarov. Sovremennye informatsionnye tekhnologii, 2020, no 32 (32), pp. 42—45.

4. Lisitsin L.A., Katykhin A.I., Khalin Yu.A. Teoreticheskie osnovy i metody issledovaniya informatsionnykh protsessov i sistem, Kursk, 2017. 120 p.

5. Ob informatsii, informatsionnykh tekhnologiyakh i o zashchite informatsii : feder. zakon ot 27 iyulya 2006 g. № 149-FZ. URL: http://www.internet-law.ru/law/inflaw/inf.htm (accessed 06.07.2011).

6. Pluzhnikov A.O. Analiz protsessa vnedreniya informatsionnykh si-stem v protsess upravleniya organov gosudar stvennoi vlasti. Aktual'nye napravleniya nauchnykh issledovanii XXI veka: teoriya i praktika, 2020, vol. 8, no 2 (49), pp. 100—104.

7. Pluzyan K.G. Entropiino-informatsionnaya interpretatsiya fiziche-skikh protsessov. Inzhenernye problemy energetiki i bezopasnost' v tekhnosfere : materialy konferentsii Shestaya regional'naya nauchno-tekhnicheskaya konferentsiya studentov i aspirantov, 2011, pp. 90—91.

8. Smorodinnikov D.A. Metody povysheniya effektivnosti protsessa razrabotki informatsionnykh sistem v ramkakh avtomatizatsii tekhnologicheskikh protsessov na promyshlennom predpriyatii. Perspektivy razvitiya informatsionnykh tekhnologii, 2013, no 12, pp. 74—77.

9. Sultanova B.K., Nurpeisova A.U., Makina G.U. Informatsionnye protsessy v sistemakh upravleniya biznes protsessami predpriyatiya. Molodoi uchenyi, 2015, no 20 (100), pp. 82—84.

10. Bobrov L.K., Kiselnikov A.A., Ryzhko O.Yu., Borisov V.N. Actuarial methodology of assessment of enterprise risks. Economic and Social Development. 54th International Scientific Conference on Economic and Social Development Development. Editors: Pavel Novgorodov, Matija Maric, Luka Burilovic, 2020, pp. 173—182.

11. Aliev I., Gazul S., Bobova A. The analysis of changes in the payroll of information system support specialists dur ing the Devops methodology implementing. IOP Conference Series: Materials Science and Engineering, 2020, vol. 862, Cybernetics, Economics and Organization of Mechanical Engineering Production, 042039.

12. Analysis of the digital transformation influence on the economic growth of the region / V. Glinskiy et al. Economic and Social Development: Book of Proceedings, 2020, pp. 260—269.

13. Ayhan B.U., Dogan N.B., Tokdemir O.B. An association rule mining model for the assessment of the correlations between the attributes of severe accidents. Journal of civil engineering and management, 2020, vol. 26, is. 4, pp. 315—330. DOI:10.3846/jcem.2020.12316

14. Chuprynin E.A., Levitskii A.A. Analysis of the quality of the information search process on the internet. Sovremennye nauchnye issledovaniya i innovatsii, 2021, no 1 (117), p. 7.

15. Glinskiy V., Serga L., Khvan M., Zaykov K. Fuzzy neural networks in the assessment of environmental safety. Pro cedia CIRP. 13. Ser. “13th Global Conference on Sustainable Manufacturing — Decoupling Growth from Resource Use”, 2016, pp. 615—619.

16. Hryhoruk P., Khrushch N., Grygoruk S. Environmental safety assess-ment: a regional dimension. IOP Conf. Series: Earth and Environmental Science, vol. 628 (2021) 012026. DOI:10.1088/1755-1315/628/1/012026

17. Borisov V., Fedulov Y., Dli M., Zaenchkovsky A. Method for identification, stability analysis and the dynamics monitoring of sociotechnical clusters. Journal of Physics: Conference Series. VI International Scientific and Practical Conference “Virtual Simulation, Prototyping and Industrial Design 2019, VSPID-2019”, 2020, 012018.

18. Minakov V.F., Lobanov O.S., Dyatlov S.A. Three-dimensional trends superposition in digital innovation life cycle model. International Journal of Technology, 2020, vol. 11, no 6, pp. 1201—1212.


Review

For citations:


Minakov V.F. INFORMATION PROCESSES IN THE FORMATION OF HYPE CYCLES. Territory Development. 2021;(2 (24)):76-82. (In Russ.) https://doi.org/10.32324/2412-8945-2021-2-76-82

Views: 275


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2412-8945 (Print)