Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Conference on Information Technologies in Business and Industries, ITBI 2019

Год издания: 2019

Идентификатор DOI: 10.1088/1742-6596/1333/7/072026

Аннотация: Incentive of employee's work is one of the most important parts of the workflow. There are many types of incentives, but intangible incentive methods are the most effective due to the increased productivity with minimal cost of resources. Effectiveness has been proven by the example of a McDonald's company. Nevertheless, managers dПоказать полностьюo not use these methods or use them incorrectly. Moreover, incorrect use of these methods can be a reason of degrading employee productivity. In this regard, it is proposed to create software. Using this software managers are able to analyze the characteristics of employees and the current state of non-financial incentives. Thanks to this software, an increase in the effectiveness of the use of intangible incentives and the formation of a community within the enterprise are expected. © Published under licence by IOP Publishing Ltd.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1333, Is. 7

Номера страниц: 72026

ISSN журнала: 17426588

Издатель: Institute of Physics Publishing

• Baranov V.A. (Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation)
• Kukartsev V.V. (Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation)
• Boyko A.A. (Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation)
• Tynchenko V.S. (Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation, Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation)
• Kukartsev V.A. (Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation)
• Chzhan E.A. (Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation)
• Mikhalev A.S. (Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation)

• Scopus
• Web of Science Core Collection
• Ядро РИНЦ (eLIBRARY.RU)