• Fashion & Textile Research Journal
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• v.9 no.4
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• pp.409-417
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• 2007

The goal of this study was to investigate the impacts of customer satisfaction, store image, and switching barrier on store loyalty of the clothes shops at a large-scale discount store. The subjects were 357 female adults living in Suncheon City, Jeollanam Province. The questionnaires were conveniently sampled from June 1 to 30, 2006. The collected data were factor and reliability analyzed using the SPS program. And LISREL was used to test and evaluate the relationships between the constructs through confirmatory factor analysis and covariance structure analysis. Among the six hypotheses set in the research model, total four were selected through empirical analysis and the rest two were rejected. The analysis results were useful in making a conceptual model that could keep the simplicity about store loyalty and had increased explanatory power. Thus it turned out the deciding factors of store loyalty for the clothes shop at a discount store were customer satisfaction and switching barrier rather than store image. Customer satisfaction had the biggest influences on store loyalty among the expected variables. Considering the direct impacts of switching barrier on store loyalty, it's important to work on switching barrier along with customer satisfaction in order to maintain the customers' store loyalty. The efforts to identify the various factors of store loyalty in addition to switching barrier, customer satisfaction, and store image will lead to such marketing strategies as can vitalize the clothes shops at a large discount store.

• Journal of the Economic Geographical Society of Korea
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• v.24 no.4
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• pp.411-424
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• 2021

The purpose of this study is to analyze the location characteristics of convenience stores, a consumption industry that forms a new retail environment and implements unattended, and reveals the geographic factors that affect its location. For this purpose, we first examine the growth and regional distribution of manned convenience stores and then construct a gamma generalized linear regression model that explains the distribution of the unmanned convenience stores as well as the manned and unmanned combined convenience stores. As the result, it was observed that the unmanned convenience stores and the unmanned discount stores are located close to public transportation facilities and they have relatively little movement of the population but they are distributed in areas with a higher density of young residential population and densely distributed retail stores and restaurants. The effects of demographic factors on the location of the unmanned convenience stores and the unmanned discount stores differed according to the scope and characteristics of their sales items. Our findings provide an empirical basis for subsequent academic research as an initial study that identified geographic factors influencing the selection of opening locations for unmanned stores.

• Journal of Distribution Science
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• v.12 no.4
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• pp.23-30
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• 2014

Purpose - The purpose of this study is to analyze the efficiency of retail businesses by dividing domestic retailers into discount stores, super supermarkets (SSMs), and department stores. It suggests retail-business investment strategies by using data environment analysis (DEA) to analyze how input elements such as store area, parking lot area, number of employees, and sales management expenses for the convenience of customers positively affect business performance measurements such as sales and visiting customers per day. Research Design, Data, and Methodology - The DEA model calculates a ratio of the weighted mean of various inputs to the weighted mean of various outputs and measures the efficiency of a specific decision making unit (DMU). The study included 19 companies (five discount store DMUs, ten SSM DMUs, and four department store DMUs). Because the business elements and sizes of retail store DMUs used in this analysis are different, average per-store input and output variables were used. Data were collected from "The Yearbook of Retail Industry in Korea (2012)." DEA analysis was used to determine differences in efficiency among discount stores, SSMs, and department stores in terms of the business elements of each retail business. It was also used to determine what business elements were excessively invested in by comparing and analyzing efficiency by business elements using SPSS software's ANOVA (Analysis of Variance). Results - The CCR and BCC efficiency analysis found that the efficiency of discount stores is low. We believe that the saturation state of discount stores is a major factor. The ANOVA analysis confirms the VRS hypothesis with a statistically significant difference among the three groups, based on an analysis confidence interval of 95%. CRS and SE were not found to be significantly different among the three groups. As for the post hoc test, which concretely shows differences by group, the Scheffe's multiple comparison analysis test found the average differences between group 1 (discount stores) and group 2 (SSM) to be statistically significant. Conclusions - The DEA efficiency analysis implies that investment in input elements, including store area, parking lot area, and sales management expenses, were excessive in the case of discount stores, while SSMs need to invest more in promotion activities such as gifts, events, and coupons for customer management. Department stores have found that small companies invest excessively in input elements. Department stores need to invest in differentiated shopping mall complexes. This study was limited in acquiring statistical data; various input variables which might have shown more secure customer management and promotional expenses could not be applied. As the study was limited in various aspects of the efficiency analyses because financial analyses of the companies and of causal relationships, including satisfaction and loyalty of visiting customers, were not done, these aspects will be examined in the next study.

• Journal of Distribution Science
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• v.3 no.2
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• pp.29-55
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• 2005

Since discount stores should be operated mostly by the non-human resources regarding the natural characteristics of the business, it is possibly said that their physical environments have been extremely significant. This study attempts to develop the measurement items and construct factors which are especially relevant to the physical environments of the discount stores and examine how the customer satisfaction and intention influence on these construct factors. These provide a useful framework for understanding the problems of measuring and evaluating the physical environments of discount stores. The final factor analysis for each construct factors resulted as four factors, and two categories(amenity and convenience) represented the characteristics of same construct such as the visibility. Then convenience is eliminated, and an attempt was made to add the new variable what is called the visibility. As a result, final construct factors that would be used in this study are made of four items; amenity, accessibility, POP and visibility. This study utilizes the LISREL 8.12 to evaluate the validity of factor structures and measurement model involving the physical environment in discount store. Finally, for the success of the projects, I think that it is necessary to provide comprehensive efforts continuously.

• Journal of Distribution Research
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• v.13 no.3
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• pp.127-154
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• 2008

For the large scale retailers such as chain discount stores and specialty stores, having measurement tool to maintain service quality can be very crucial to sustain high and same level of service qualities around multiple stores. This study aims to develop service quality scales of large-scale stores using Korean discount store cases. We have studied the previous service quality measures including RSQS(Retail Service Quality Scale) and have modified and developed our own scale model called KD-SQS(Korea Discount Service Quality Scale). The following six components have been revealed as the basic dimensions of service quality of Korean discount stores: basic benefits, promotion, personal interactions, physical aspects, policy and additional convenience. Our scales have been verified through various validity and reliability tests.

• Journal of Forest and Environmental Science
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• v.31 no.3
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• pp.207-213
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• 2015

It is estimated that there is a total of approximately 100,000 species in Korea. However, the number is currently about 30,000 and only 16,027 species are listed in the 'Species Korea' (as of December, 2014). Of the listed species, 51 species are designated as the Endangered Species Class I while 195 species are in the Class II, totaling 246 endangered species including 20 mammals. Under the circumstances that development (e.g., roads) is increasingly threatening the persistence of endangered mammals, it is significant to identify and preserve suitable habitats for them. In this context, evaluating the values of the suitable habitat environment would serve as essential information for development decision making. This study estimated the values of endangered mammals' forest habitats through spatialization of habitat services. In doing so, a species distribution model, Maximum Entropy Model (MaxEnt) was utilized for a group of endangered mammals including, mountain goat, wildcat, marten cat, and flying squirrel. To calculate the values per unit area, a benefit transfer method was used based on the point-estimate technique with the best available values estimated previously. The range of discount rate of 3.0 to 5.5 percent was applied taking the notion of social discount rate into account. As a result, the province with the highest values for endangered mammal habitats appeared to be Gangwon, followed by Gyeongbuk and Gyeongnam. The monetary values of the endangered mammal habitats were estimated to be 330 billion to 421 billion won per year.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.221-229
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• 2015

In this paper, it should be established what influence to customer satisfaction by advertisement and promotion, store management and quality of products of large discount stores, and in order to present the structural relation model. In order to establish it empirically, this study proposed a structured alternative model by conducting a survey to customers live in metropolitan areas who use biggest discount store, through the SPSSWIN 18.0 and AMOS 18.0. This analysis shows a number of points, first, customers were aware of having meaningful impact on store management to products quality. Through broad and clean store represents confidence appears to have a products quality. Second, the store management were shown to have a meaningful impact on customer satisfaction. Cleanliness and atmosphere of store, convenience of parking facilities, and transportation convenience of their roles in customer satisfaction seem to believe. Third, advertising and promotion is shown to not affected meaningful impact on stores management, products quality and customer satisfaction.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.10
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• pp.1548-1558
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• 2008

The goal of this study was to investigate the impacts of service quality, product quality, and perceived price on store loyalty of the clothes shops at a large-scale discount store. The subjects were 357 female adults living in Suncheon City, Jeollanam Province. The questionnaires were conveniently sampled from June 1 to 30, 2006. The collected data were factor and reliability analyzed using the SPSS program. And Regression was used to verified the relationships between the constructs. Among the five hypotheses set in the research model, total four were selected through empirical analysis and the rest one were rejected. The empirical results showed the following managerial implications. First, consumer' perceived service quality has a positive relationship with store image and store loyalty. Second, product quality has a positive relationship with store image. Third, store image has positively related with store loyalty. Fourth, perceived price has not significantly related with store loyalty. Finally, store image in large-scale discount store is 'sales people', 'VMD/atmosphere', and 'assortment' on forming the store image. Especially, 'assortment', 'oust and friendship', and 'symbol' have significantly related with store loyalty.

• Journal of the Korean Operations Research and Management Science Society
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• v.30 no.3
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• pp.17-39
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• 2005

The coordination of a three-level supply chain consisting of a supplier, a retailer, and a discount outlet (DCO) is studied here. We assume that the product is sold in two consecutive periods a Normal Sales Period (NSP) and a subsequent Clearance Salvage Period (CSP). A benchmark case is studied Initially in which the supply chain is coordinated by a s1n91e agent. Thus, the supplier the retailer, and the discount outlet design a common system that allows centralized decision making about stocking quantities, markdown time schedules, and policies on disposing of leftovers to deliver the greatest possible expected supply chain profit. Next, we consider a decentralized supply chain. Here, decisions are made without coordination. The objective is to maximize an individual party's expected profits. The focus of the study is on the following questions: what factors make the coordination an effective approach for the supply chain? How do we coordinate the supply chain so as to maximize the supply chain Joint expected profit? These and other related study issues are explored in this paper.

• Fire Science and Engineering
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• v.15 no.1
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• pp.93-99
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• 2001

This study aims to improve the Evacuation Performance o( the I)inc()unto-store in underground that is rapidly new shopping store in Korea. In this paper, The architectural properties of the floor plan and section was reviewed with egress focus, occupant load density of the Discount-store was surveyed and the procedure and method of performance based egress design for this occupancy was analysed with SIMULEX model and calculation method. As a result of modeling, more longer available safe egress time (ASET) is expected than required safe egress time (RSET)in underground discount-store. In order to improve the Evacuation Performance for this type occupancy, egress capacity including escape stair, aisle width, escape door is calculated with based on occupant load density and review of shopping cart's structure and size and maximum escape capacity of the cash counter.