Service demand forecasting based on seasonal data (using the example of LLС “ArsValeo”) : thesis abstract / Anastasiya Aleksandrovna Buraya ; School of Business of BSU, Department of business administration ; Supervisor: Gopka E. A.

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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/305512

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DC Field	Value	Language
dc.contributor.author	Buraya, Anastasiya Aleksandrovna	-
dc.date.accessioned	2023-12-04T07:43:29Z	-
dc.date.available	2023-12-04T07:43:29Z	-
dc.date.issued	2023	-
dc.identifier.uri	https://elib.bsu.by/handle/123456789/305512	-
dc.description.abstract	The aim of the study predict the demand for medical services of the organization and make recommendations for improving its economic condition.	ru
dc.language.iso	en	ru
dc.publisher	Minsk	ru
dc.rights	info:eu-repo/semantics/openAccess	ru
dc.subject	ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Экономика и экономические науки	ru
dc.title	Service demand forecasting based on seasonal data (using the example of LLС “ArsValeo”) : thesis abstract / Anastasiya Aleksandrovna Buraya ; School of Business of BSU, Department of business administration ; Supervisor: Gopka E. A.	ru
dc.type	annotation	ru
dc.rights.license	CC BY 4.0	ru
dc.description.alternative	Цель : Спрогнозировать спрос на медицинские услуги организации и дать рекомендации по улучшению ее экономического состояния.	ru
Appears in Collections:	Бизнес-администрирование. 2023

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