Application of machine learning tools and immersive technologies in management
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...
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| Format: | Article |
| Language: | Russian |
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State University of Management
2022-04-01
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| Series: | Управление |
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| Online Access: | https://upravlenie.guu.ru/jour/article/view/484 |
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| _version_ | 1832541268644724736 |
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| author | A. V. Sosnilo |
| author_facet | A. V. Sosnilo |
| author_sort | A. V. Sosnilo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1070b9c9ba444148b4356234a99fe53a |
| institution | Kabale University |
| issn | 2309-3633 2713-1645 |
| language | Russian |
| publishDate | 2022-04-01 |
| publisher | State University of Management |
| record_format | Article |
| series | Управление |
| spelling | doaj-art-1070b9c9ba444148b4356234a99fe53a2025-02-04T09:04:39ZrusState University of ManagementУправление2309-36332713-16452022-04-01101748410.26425/2309-3633-2022-10-1-74-84321Application of machine learning tools and immersive technologies in managementA. V. Sosnilo0Financial University (Saint-Petersburg branch); ITMO UniversityThe 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.https://upravlenie.guu.ru/jour/article/view/484immersive technologiesmanagementmachine learningefficiencyapplication practicesinternational experiencerisks and threats |
| spellingShingle | A. V. Sosnilo Application of machine learning tools and immersive technologies in management Управление immersive technologies management machine learning efficiency application practices international experience risks and threats |
| title | Application of machine learning tools and immersive technologies in management |
| title_full | Application of machine learning tools and immersive technologies in management |
| title_fullStr | Application of machine learning tools and immersive technologies in management |
| title_full_unstemmed | Application of machine learning tools and immersive technologies in management |
| title_short | Application of machine learning tools and immersive technologies in management |
| title_sort | application of machine learning tools and immersive technologies in management |
| topic | immersive technologies management machine learning efficiency application practices international experience risks and threats |
| url | https://upravlenie.guu.ru/jour/article/view/484 |
| work_keys_str_mv | AT avsosnilo applicationofmachinelearningtoolsandimmersivetechnologiesinmanagement |