Application of machine learning tools and immersive technologies in management
https://doi.org/10.26425/2309-3633-2022-10-1-74-84
Abstract
The article considers the experience of using machine learning tools and the application of immersive technologies in management: the development areas have been identified, the dynamics of the technologies and application practices implementation has been studied, the risks of their application have been analysed. The study uses general scientific and special methods, comparative analysis and systematisation method. An analysis of the domestic and foreign experience in the application of these technologies in the field of management has been carried out. As a result of the study, the main directions have been identified, within the framework of which, the application of these tools is developed, threats and disadvantages of the application practice of these instruments and technologies have been formulated. It has been concluded that most of the technologies described in the study are able to significantly improve the organisation’s efficiency, identify hidden relationships, more productively manage employees in the field of hiring, selection, personnel training, motivation and development of talents, improving corporate culture, to ensure the organisation’s security, etc. It has been also noted that the application of individual technologies can be used for pressure on employees, invasion of privacy, administrative pressure due to a political position, personal medical information, etc. and requires a balanced policy with the involvement of all interested parties.
About the Author
A. V. Sosnilo
Financial University (Saint-Petersburg branch); ITMO University
Russian Federation
Russian Federation
Andrey V. Sosnilo, Cand. Sci. (Hist.)
15, Syezjenskaya, Saint Petersburg 197198
49, Kronverkskiy, Saint-Petersburg 197101
References
1. Bakin M.V. (2020), “Immersive technologies in the development of social empathy and education”, Mezhdunarodnyi nauchno-issledovatel’skii zhurnal, no. 10-2 (100), pp. 16–19. (In Russian). https://doi.org/10.23670/IRJ.2020.100.10.037
2. Bloodworth J. (2018), Hired: Six months undercover in low-wage Britain, Atlantic Books, UK, 280 p.
3. Bockholt N. (2017), VR, AR, MR and what does immersion actually mean?, Cross- media, Global, Media & Entertainment, Technology, Industry Perspectives, pp.78.
4. Brynjolfsson E. and McAfee A. (2014), The second machine age: Work, progress, and prosperity in a time of brilliant technologies, W. W. Norton & Company, USA, 320 p.
5. Kornilov Yu.V., and Popov A.A. (2018), “VR-technologies in education: experience, review of instruments and application prospects”, Innovatsii v obrazovanii, no. 8, pp. 117–129. (In Russian).
6. Сhernysheva M.V., Lvov L.V., and Chernov V.A. (2017), “The use of technology of virtual teaching for improving the quality of education”, Sovremennaya vysshaya shkola: innovatsionnyi aspect, vol. 9, no. 2 (36), pp. 54–63. (In Russian). https://doi.org/10.7442/2071-9620-2017-9-2-54-63
7. Deng, L., and Yu, D. (2014), “Deep learning: methods and applications”, Foundations and Trends in Signal Processing, vol. 7, no. 3-4, pp. 197–387.
8. Furman J. (2016), “Is this time different? The opportunities and challenges of artificial intelligence”, AI Now: The Social and Economic Implications of Artificial Intelligence Technologies. Complex & Intelligent Systems, vol. 1, no. 1, pp. 57–68. https://doi.org/10.1007/s40747-016-0005-9
9. Gartner says worldwide robotic process automation software revenue to reach nearly $2 billion in 2021, Gartner. Available at: https://www.gartner.com/en/newsroom/press-releases/2020-09-21-gartner-says-worldwide-robotic-process-automationsoftware-revenue-to-reach-nearly-2-billion-in-2021 (accessed 17.01.2022).
10. Gordon R. J. (2016), The rise and fall of American growth: The U.S. standard of living since the Civil War, Princeton University Press, Princeton, USA, 784 p. https://doi.org/10.1515/9781400888955
11. Ivanova A.V. (2018), “VR & AR technologies: opportunities and application obstacles”, Strategic decisions and risk management, no. 3 (106), pp. 88–107. https://doi.org/10.17747/2078-8886-2018-3-88-107
12. Muleronko R.A., and Shikov A.N. (2016), “Problems of using virtual reality technologies in education”, Elektronnyi nauchnyi zhurnal, no. 12-1 (15), pp. 169–176. (In Russian).
13. Sirakaya M., Sirakaya D.A. (2018), “Trends in educational AR studies: a systematic review”, Malaysian Online Journal of Educational Technology, vol. 6, no. 2. pp. 60–74. https://doi.org/10.17220/mojet.2018.02.005
Review
For citations:
Sosnilo A.V. Application of machine learning tools and immersive technologies in management. UPRAVLENIE / MANAGEMENT (Russia). 2022;10(1):74-84. (In Russ.) https://doi.org/10.26425/2309-3633-2022-10-1-74-84
Views:
504
Email this article 