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AI as a Subject of Staff: Management and Team-Buildingстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 8 апреля 2022 г.
- Авторы: Reikhanova Irina V., Ilyina Larisa A., Kuklev Sergey E., Zakharov Aleksandr A.
- Сборник: Artificial Intelligence: Anthropogenic Nature vs. Social Origin
- Год издания: 2020
- Издательство: Springer International Publishing
- Местоположение издательства: New York
- Первая страница: 345
- Последняя страница: 351
- DOI: 10.1007/978-3-030-39319-9_39
- Аннотация: Purpose: The purpose of the work is to develop the scientific and methodological provision of AI management as a subject of the staff. Design/methodology/approach: The research is performed at the theoretical level of the economic science with application of the methods of scientific abstraction and modeling of socio-economic processes and systems. The authors also develop their own methodology of evaluating the effectiveness of AI management as a subject of the staff. Findings: The authors develop a conceptual model of AI management as a subject of the staff. Criteria of evaluating the effectiveness of AI management as a subject of the staff are developed. The algorithm of optimization of AI management as a subject of the staff according to the criterion of effectiveness is offered. Originality/value: It is substantiated that AI could be a full member of the staff, but it requires specialized and flexible management. Each company should select an optimal variant of AI usage: during individual work or team work, by the conditions of limitation or expansion of its usage. AI management is different, depending on its usage during the individual work or in a team with the company’s employees. Authors’ recommendations are offered for both directions of AI management.
- Добавил в систему: Куклев Сергей Евгеньевич