BUSINESS DECISION TRENDS IN THE INTELLECTUAL PRODUCTION DEVELOPMENT
https://doi.org/10.26425/1816-4277-2020-8-41-47
Abstract
The main trends have been described and the system characteristics of intellectual production have been presented: customization of products, integration of the product and the service it provides, the transition to integrated solutions and services, mass personification while reducing the share of costs per unit of output and customer waiting time for an order. The key components of the transformation of business management models in the fourth industrial revolution have been identified. Cross-correlation and regression analysis for indicators of high-tech production have been made. A basic, optimistic and pessimistic forecast of changes in the share of high-tech and technology products in the gross domestic product, depending on the growth of high-performance jobs, has been built. The analysis of the development of intellectual production presented in the article, as well as the results of modeling can be used in the construction of forecast trends of the economy in the transition to the fourth industrial revolution.
Keywords
additive production,
business model,
fourth industrial revolution,
high-performance jobs,
high-tech products,
intellectual production,
management model,
modeling,
technology products
Supporting agencies: The study was performed in the framework of the grant of the President of the Russian Federation for state support of leading scientific schools of the Russian Federation No. NSh-2600.2020.6.
About the Authors
A. I. Shinkevich
Kazan National Research Technological University
Russian Federation
Russian Federation
Shinkevich Alexey Doctor of Economic Sciences
Kazan
S. S. Kudryavtseva
Kazan National Research Technological University
Russian Federation
Russian Federation
Kudryavtseva Svetlana Doctor of Economic Sciences
Kazan
M. V. Shinkevich
Kazan National Research Technological University
Russian Federation
Russian Federation
Shinkevich Marina Doctor of Economic Sciences
Kazan
References
1. Brizhak O. V. Kontseptual’nye osnovy institutsional’noi ekonomiki: korporatsii, gosudarstvo, innovatsii [Conceptual foundations of institutional economics: corporations, state, innovations]. Gorizonty ekonomiki, 2015, no. 4 (23), рр. 15-21.
2. Plotnikov V. A. Tsifrovizatsiya proizvodstva: teoreticheskaya sushchnost’ i perspektivy razvitiya v rossiiskoi ekonomike [Digitalization of production: theoretical essence and development prospects in the Russian economy]. Izvestiya Sankt-Peterburgskogo gosudarstvennogo ekonomicheskogo universiteta [Journal of the St. Petersburg State University of Economics], 2018, no. 4 (112), рр. 16-24.
3. Shinkevich A. I., Barsegyan N. V. Rol’ Natsional’noi tekhnologicheskoi initsiativy v razvitii nauchnoi i innovatsionnoi deyatel’nosti [The role of the National Technology Initiative in the development of scientific and innovative activities]. Upravlenie ustoichivym razvitiem, 2018, no. 1 (14), рр. 16-23.
4. Shinkevich A. I., Kudryavtseva S. S. Upravlenie otkrytymi natsional’nymi innovatsionnymi sistemami v ekonomike znanii [Managing open national innovation systems in the knowledge economy]. Kazan, Kazanskii natsional`nyi issledovatel`ski tekhnologicheskii universitet, 2014. 204 р.
5. Promyshlennaya robototekhnika v Rossii i v mire [Industrial robotics in Russia and the world]. Natsional`naya Assotsiatsiya Uchastnikov Rynka Robototekhniki [Russian Association of Robotics]. Available at: http://robotunion.ru/images/files/rar_industrial_robotics.pdf (accessed 15.06.2020).
6. Ofitsial`nyi sait Federal`noi sluzhby gosudarstvennoi statistiki [Official website of the Federal State Statistics Service]. Available at: http://www.gks.ru (accessed 21.06.2020).
7. Universitetskii al`yans SAP [SAP University alliance]. SAPLand. Available at: https://sapland.ru/partners/sap-cis/sap-university-alliances/o-sap-university-alliances.html (accessed 21.06.2020).
8. Tsifrovaya Rossiya: novaya real`nost` [Digital Russia: a new reality]. McKinsey & Company (Russia). Available at: https://www.mckinsey.com/ru/~/media/McKinsey/Locations/Europe%20and%20Middle%20East/Russia/Our%20Insights/Digital%20Russia/Digital-Russia-report.pdf (accessed 21.06.2020).
9. Emelogu A., Marufuzzaman M., Bian L., Thompson S. M., Shamsaei N. Additive manufacturing of biomedical implants: A feasibility assessment via supply-chain cost analysis. Additive Manufacturing, 2016, no. 11, pp. 97-113.
10. Fleck T. J., Murray A. K., Gunduz I. E., Chiu G. T. C., Rhoads J. F. Additive manufacturing of multifunctional reactive materials. Additive Manufacturing, 2017, no. 17, рр. 176-182.
11. Lindgren L. E., Lundbäck A., Fisk M., Pederson R., Andersson J. Simulation of additive manufacturing using coupled constitutive and micro-structure models. Additive Manufacturing, 2016, no. 12, рр. 144-158.
12. Liravi F., Toyserkani E., Darleux R. Additive manufacturing of 3D structures with non-Newtonian highly viscous fluids: Finite element modeling and experimental validation. Additive Manufacturing, 2017, no. 13, рр. 113-123.
13. Ozbolat I.T., Moncal K. K., Gudapati H. Evaluation of bioprinter technologies. Additive Manufacturing, 2017, no. 13, рр. 179-200.
14. Savon D. Y., Aleksakhin, A. V., Skryabin, O. O., Goodilin, A. A. Occupational health and safety digitalization in the coal industry. Eurasian mining, 2019, no. 2 (32), рр. 70-72.
15. World Robotics Industrial Robots. International Federation of Robotics. Available at: https://ifr.org/worldrobotics (accessed 21.06.2020).
Review
For citations:
Shinkevich A.I., Kudryavtseva S.S., Shinkevich M.V. BUSINESS DECISION TRENDS IN THE INTELLECTUAL PRODUCTION DEVELOPMENT. Vestnik Universiteta. 2020;(8):41-47. (In Russ.) https://doi.org/10.26425/1816-4277-2020-8-41-47
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