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Известия Уральского государственного экономического университета
Article . 2009
Data sources: CyberLeninka - Russian open access scientific library
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Сенсорные методы в формировании товарного предложения продуктов питания

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2009 Russian Publisher:Федеральное государственное бюджетное образовательное учреждение высшего образования «Уральский государственный экономический университет»Journal:Известия Уральского государственного экономического университета (issn: 2073-1019, Copyright policy )

Сенсорные методы в формировании товарного предложения продуктов питания

Abstract

Проанализирована специфика предложения чайной продукции, а также листового чая, реализуемого в супермаркетах Екатеринбурга. Исследование проведено с целью оптимизации товарного предложения и разработки современной классификации чая. Основным критерием потребительски адаптированной классификации чайной продукции являлись сенсорные, а также качественные характеристики продукта. Предложенная методология предусматривает формирование ассортимента товаров посредством группировки в потребительские комплексы, что способствует удовлетворению растущего спроса покупателей.

Keywords

АССОРТИМЕНТ,КЛАССИФИКАЦИЯ,ДЕСКРИПТОРНО-ПРОФИЛЬНЫЙ МЕТОД,ДЕГУСТАЦИОННЫЙ АНАЛИЗ,КОНКУРЕНТОСПОСОБНОСТЬ,ЧАЙ,ЧАЙНАЯ ПРОДУКЦИЯ,ТОВАРНОЕ ПРЕДЛОЖЕНИЕ,ТОРГОВАЯ МАРКА,СЕНСОРНЫЕ ХАРАКТЕРИСТИКИ

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    popularity
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    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold