Сибирский федеральный университет

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

Конференция: International Conference on Information Technology in Business and Industry, ITBI 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1661/1/012177

Аннотация: An integrated approach to the methodology of assessing the activities of an industrial enterprise is considered. The emphasis is on the business activity of the industry, which is a reflective factor of the external impact on the industry. N.K. Moiseeva approach, which consists of setting a level of business activity, explaining its changes and predicting its future state as an oscillating system, is used for detailed and completed consideration of business activity. The classical triad is used for determining the main aspects of marketing activity: quality, quantity and time. The marketing is used as a number indicator to determine a state of the industry. In order to calculate marketing activity, many estimates are used, which in the future, together with the selected development function, allow getting the final activity indicator taking into account the current period. The regulation of the marketing activity of the enterprise according to the marketing functions, used in various techniques and methods, is also taken into account. © Published under licence by IOP Publishing Ltd.

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1661, Is. 1

Номера страниц: 12177

ISSN журнала: 17426588

Издатель: IOP Publishing Ltd

• Kukartsev V.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation)
• Cherepanov A.I. (Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation)
• Tynchenko V.S. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, Svobodny pr. 79, Krasnoyarsk, 660041, Russian Federation)
• Gek D.K. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation)
• Aponasenko S.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation)
• Semenova E.I. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av. 31, Krasnoyarsk, 660037, Russian Federation)

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