바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Prediction of Estimated Sales Amount through New Open of Department Store

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2006, v.4 no.2, pp.5-20
Park, Chul-ju
Ko, Youn-bae
Youn, Myoung-kil
Kim, Won-kyum

Abstract

Retail is called location business because it is one of the most important factors to estimate management of stores for retailers who are going to sell products directly to customers. Retailers' management achievements are shown in sale in general. Therefore, retailers tend to focus on ways to increase the numbers of customers in order to raise sales. First of all, in this research, I am going to examine the most fundamental models such as Reilly's retail gravitation, converse model, huff probability model and multiful losit model in selecting stores. Secondly, I am going to provide the process and analyzing ways to predict estimated sales amount with the previous theory model. Also I am going to predict estimated sales amount of the department store L which is located in D metorpolitan city. Lastly, I am going to argue about the problem of this research and the next research subject. Our main goal is to provide ways to complement and inspect sales estimation models, which can be used in fields after taking characters of high class structure of Korea into consideration on the base of previous researches. According to the result of the research, my conclusion is that if the process of analysis and changing factors are complemented, revise model, which can reflect reality of Korea, will be provided. Therefore, in the future study, we have to build up theory models to suit for our retail market through critic reviews about the existing high class structure of Korea.

keywords
Reilly's Retail Gravitation, Converse's New Retail Gravitation, Huff Model, Multinomial Logit Model

The Journal of Distribution Science