Statistical analysis of demographic aging of the population

被引：1
|
作者：
Kinklaze, Rusudan [1 ]
Metreveli, Shorena [1 ]
机构：
[1] Georgian Tech Univ, Tbilisi, Georgia
来源：
19TH INTERNATIONAL SCIENTIFIC CONFERENCE ECONOMICS AND MANAGEMENT 2014 (ICEM-2014) | 2014年 / 156卷
关键词：
Uncertainty; brand vulnerability; brand risk; future tendencies; methodology;
D O I：
10.1016/j.sbspro.2014.11.165
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This article covers the following problematic issue: how to predict uncertainties modeling the brand vulnerability? In order to solve the problematic issue a method of brand vulnerability prediction is substantiated theoretically also the empirical methods assisting in implementing them are identified. After carrying out the empirical method based on the Lithuanian market of mass cosmetic products uncertainties modeling brand vulnerability in the mentioned market for the year of 2020 are identified. (C) 2014 Published by Elsevier Ltd.
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页码：174 / 177
页数：4
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