• Journal of Distribution Science
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• v.4 no.1
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• pp.161-173
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• 2006

The most important two decision-makings which a retail store owner face require which place of the store should geographically be established and which stock should be properly placed on the shelves. The problem of geographic positioning is the decision-making for the store's positioning and stock arrangement within the retail store is the decision-making for the placement store. In order to determine the positioning, the expected area should be analyzed so that the analysis of commercial area can usually be implemented in accordance with retail marketing strategy and therefore the sized of the potential market for example each distric's clientele, competition and, a municipal community's regulations, could be evaluated. But I contend that with only the size of potential market does not give an adequate answer to the problem of a store's positioning. Through the estimation of commercial are in combination with feng-shui, the theory of divination based on topography, the store's position could be selected, taking a positive energy, Gi. This thesis is the starting point of these trials. In the long run, the actual analysis of the study should be continued in a more scientific, systematic, statistical way.

• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.37-49
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• 2008

In general, most of the firms do not settle down in one place for their pursuit of profit. There are many reasons for the relocation of the firms; procurement of raw material, market area, transportation cost and housing cost. The aspect of national policy, firm relocation has been systemically promoted for the purpose of logistics system efficiency. Nowadays balanced regional development has been issue. Another aspect, many countries have struggled for the preoccupancy of new place because of its production cost saving and curtailment of expenditure. The aim of this article is qualitative and quantitative analysis of relocation influence factors of domestic goods firms in Korea. This article dynamically analyzed the relocation influence factors for domestic goods firms in Korea. For the analysis this article made use of complementary survey (2006) out of the 3rd national logistics survey (2005). The complementary survey conducted pre-business district, business period, relocation reason, etc. This article dynamically analyzed from the three aspects; observation of average residence time in one business district, relocation factors, influence of market area. Analysis shows that relocation of firm is very high rate and the reasons of relocation play compositeness role. The results of determinants of location, firms approach the established market area closely and the firm's relocation is influenced by market area.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.129-137
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• 2014

The purpose of this study is to understand major factors of site selection of convenience stores in Busan and Gyeong-nam Region. This will be done by analyzing correlations of sale, profit and localization factors and choosing the major correlation factors out of them and carrying out regression analysis to analyze each factor's influence extent. the competition factor : It is shown that the competition factor has significant result with the sale and the profit and the effect of that is proved the biggest among all location requirements. Therefore, the competition factor is the most important factors above all. By providing recently standards and implications of site selection of stores, this study suggests a guideline for site selection not only to prep entrepreneurs and store developers but also prep entrepreneurs of retail store.

• Spatial Information Research
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• v.5 no.1
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• pp.11-26
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• 1997

The purpose of this study is to analyze the locational characteristics of bank branch offices in Kangnam-Gu, Seoul by using Geographic Information System. The number of bank branch offices have sharply increased due to financial liberalization, while the scale of them is getting smaller. The procedure of this research has four steps. First, the spatial distribution of bank branch offices in Seoul is analyzed by the places and time. Second, the spatial variations of bank offices in dong districts of Seoul is explained by factor analysis and multiple regression analysis. Third, the location-allocation model which is embedded within network module in Arc/Info is applied in order to find out optimal location of bank offices in Kangnam-Gu. Finally, the grid module is used in creating the potential surface map for locational sites of new bank branch offices The factors to affect the location of the bank offices contain mainly economic variables including local tax, collUl1ercial area, total establismnent and total employment. The actual locational pattern of bank offices is similar to the idealized locational pattern proposed by the function of min-distance in location-allocation models. In conclusion, this study shows that spatial analysis functions may potentially be improved using GIS technologies. However in order to analyze the location of bank offices more precisely, it should be found out the way to collect more appropriate data, construct computerized base maps, and investigate consumer behaviour and behavioural characteristics of bank themselves..

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.4
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• pp.27-43
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• 2009

Location decision problems of franchisees which determine revenues and costs in business are one of the most important issues in franchisor research. The major portion of franchisees are located in Kyunegi-do and 5 major cities in Korea. What's the reason behind this fact? The purpose of this research is to provide the rationale for location decisions of franchisor businesses. Based on the break-even analysis, we conclude that major decisive factors of location decisions are demand and costs of franchisor businesses. At the good location which can attract many customers, franchisor businesses can be much more competitive than independent stores. However, at the bad location, franchisor businesses can not be maintained because of high costs.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.5D
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• pp.705-712
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• 2008

The purpose of this study using Fuzzy AHP technique as a decision support system is to propose a structured and available decision making process for location selection of large-scale discount stores. The procedure of this study is divided into two parts to estimate the relative weights of evaluation criteria and analyze the sites of some large discount stores. The results of this study can be summarized as follows; First, compared with the other criteria, the population of primary trade area has the most weight, and moreover, there are the number of rival businesses, dimensions of roads, total population, lot size, purchase cost in order of size. Lastly, the sites of six stores are evaluated relatively, then the optimal location is selected, which proves the applicability for decision making process this study suggests.

• Journal of Cadastre & Land InformatiX
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• v.44 no.1
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• pp.213-226
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• 2014

The objective of this paper is to investigate the factors determining the premium of coffee shops by using coffee-shop lease cases at main retail trade areas in Seoul. The focus is on analyzing that the coffee-shops' the sales, building, location and retail trade area characteristics affects the coffee shop's premium. The major findings are as follows. First, there is a high positive correlation between the premium and the sales, and the sales and the size of the shop are shown to be statistically significant variables in estimating the premium per $3.3m^2$. It means that the shop's sale is empirically important an independent variable in determining the premium and as the major costs in the process of starting the business. Second, the deposit money per $3.3m^2$ and public service officers in the retail areas are important in determining the premium. Third, the size of the shop have the effects on the premium per $3.3m^2$ negatively. In short, this study adopts the research hypothesis that retail trade area, location, building of the characteristics, which is located in the coffee shops have the effects on the premium.

• 베이커리
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• no.1 s.318
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• pp.98-103
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• 1995

1.일본맥도날드 2천억엔 달성의 비결은 최고정도 매상 예측 시스템에 있다. 2,시장규모가 매상의 크기를 결정한다.3.점포의 시계성으로 인한 매상결정 4.대형시장의 출점 전략5.동선이 잘못되면 실패한다.6.상권인구10만명의 의미는 (현장실측중심) 7.오피스성향이 강하면 매출이 올라가지 않는다.8.입지전략에 있어 건물평가의 의미 9.매상예측에 관한 통행량의 바른 분포 10.경쟁회상의 영향과 출점전략 11.영업력을 매상 예측요소에 선정하는 방법 12.현장을 실시하는 기준

• Proceedings of the Korean DIstribution Association Conference
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• 1997.07a
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• pp.101-120
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• 1997

도매업은 여러 가지 기준에 의해서 분류될 수 있다. 우선, 산업별분류에 의한 \circled1생산재도매업과 \circled2소비재도매업으로, 상품구성기준에 따라서 \circled1단품도매업, \circled2전문도매업, \circled3복합도매업, \circled4종합도매업 등으로 구분할 수 있다. 그리고 상권기준에 따라서 \circled1전국도매업, \circled2권역도매업, \circled3지방도매업으로, 입지기준에 따라서 \circled1산지도매업, \circled2집산지도매업, \circled3소비지도매업 등으로 나눌 수 있다. (중략)

• Journal of the Economic Geographical Society of Korea
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• v.23 no.4
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• pp.408-424
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• 2020

This study attempts to analyze the spatial clustering of survived and closed coffee shops based on the land price and land use for each coffee shop location. The locational characteristics of survived and closed coffee shops for each cluster type are identified through various locational properties such as transport factors (physical accessibility), shop properties (franchise information, newly open/closed business experience), and spatial density (kernel density estimation). To this end, we categorize the clusters of survived and closed coffee shops into three types (general locational distribution type, commercialization type of residential area and location type of commercial center), and then analyze their locational characteristics. As the result, we found that the locations of newly open and closed coffee shops show different distribution characteristics, even though they are classified into the same type due to the double sidedness of new open and closed locations. The results of this study can be provided as basic data for planning the location of coffee shop as well as regional commercial district.