75779

Автор(ы): 

Автор(ов): 

3

Параметры публикации

Тип публикации: 

Доклад

Название: 

Labor Productivity Variations: Big Data Analysis

Электронная публикация: 

Да

ISBN/ISSN: 

979-8-3503-4094-5 /979-8-3503-4095-2

DOI: 

10.1109/ICCT58878.2023.10347131

Наименование конференции: 

  • 7th International Conference on Information, Control, and Communication Technologies (ICCT 2023)

Наименование источника: 

  • Proceedings of 7th International Conference on Information, Control, and Communication Technologies (ICCT 2023)

Город: 

  • Астрахань

Издательство: 

  • IEEE

Год издания: 

2023

Страницы: 

https://ieeexplore.ieee.org/document/10347131
Аннотация
Labor productivity can be attributed to the soft methods of enterprise management. We consider a model for increasing GDP with limited resources. The task of increasing analysis and increasing labor productivity is considered. We analyze the current state of labor productivity at 148,000 Russian enterprises. The parameters of the dependence of labor productivity of industrial organizations on revenue are revealed. Regression dependences of labor productivity on revenue are considered in the form of power, quadratic, and linear trend. Power law parameters can be helpful for researchers of Cobb-Douglas functions.

Библиографическая ссылка: 

Дранко О.И., Степановская И.А., Богомолов А.С. Labor Productivity Variations: Big Data Analysis / Proceedings of 7th International Conference on Information, Control, and Communication Technologies (ICCT 2023). Астрахань: IEEE, 2023. С. https://ieeexplore.ieee.org/document/10347131.