• Journal of Information Technology Application
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• v.3 no.3
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• pp.41-69
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• 2001

This paper compares the price strategies of Korean internet retailers against those of Korean traditional retailers in regard to books, CD\\`s, cosmetics, softwares, PC and peripherals, and electronic home appliances. The data shows that the average prices of books, CD\\`s, and cosmetics are cheaper in the internet market than in the traditional market when there is a large purchase. However, when there is a small purchase, the average prices of books and CD\\`s are more expensive in the internet market than in the traditional market. In other cases, the difference of the average prices in the two markets was negligible. When there is a large purchase, the dispersion of prices of books is smaller in the internee market than in the traditional market. In other cases, the dispersion of prices is smaller in the internet market than in the traditional market, but the difference was negligible to be statistically significant. The findings imply that internet retailers generally pursue a specialization strategy against traditional retailers by factors other than prices. Internee retailers seem to pursue price competition against traditional retailers only for large purchases in some cheap commodity industries. It is also found that the internet shopping-malls managed or owned by existing traditional retailers or manufactures are rare and are operated dependently on existing distribution channels. The findings also imply that the Internet market begins to be established only in some cheap commodity industries and the Internet market has yet to be generally established in Korea.

• Convergence Security Journal
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• v.8 no.3
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• pp.83-92
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• 2008

In respect complication of group and period, the sales of retail trade is composed of various factors. This paper studies focus on estimating the determinants of the sales of retail trade. The volume of analysis consist of 7 groups. Analyzing period be formed over a 36 point(2005. 1$\sim$2007. 12). In this paper dependent variable setting up sales of retail trade, explanatory(independent) variables composed of composite stock price index, the number of the consumer's online buying behavior company, the coincident composite index, the index of trading price of APT, employment rate, an average of the rate of operation(the manufacturing industry), the consumer price index. The result of estimating the determinants of sales of retail trade provides empirical evidences of significance positive relationships between the coincident composite index, the index of trading price of APT, employment rate, an average of the rate of operation(the manufacturing industry). However this study provides empirical evidences of significance negative relationships between the consumer price index. The explanatory variables, that is, composite stock price and the number of the consumer's online buying behavior company, are non-significance variables. Implication of these findings are discussed for content research and practices.

• Journal of Distribution Science
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• v.4 no.2
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• pp.5-20
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• 2006

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.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.411-417
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• 2009

We proposed a robust body part tracking system for intelligent environment that will not limit freedom of users. Unlike any previous gesture recognizer, we upgraded the generality of the system by creating the ability the ability to recognize details, such as, the ability to detect the difference between long sleeves and short sleeves. For the precise each body part tracking, we obtained the image of hands, head, and feet separately from a single camera, and when detecting each body part, we separately chose the appropriate feature for certain parts. Using a calibrated camera, we transferred 2D detected body parts into the 3D posture. In the experimentation, this system showed advanced hand tracking performance in real time(50fps).

• Management & Information Systems Review
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• v.32 no.4
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• pp.225-254
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• 2013

This research tries to examine the effect of brand experience in service marketing perspective for generalized application. The analysis was held with customers who recently visited in retail stores by using SPSS18K and Smart PLS 2.0. The study verified the structural equation model hypothesizing the relationship among brand experience, relationship quality, and relationship strength. According to the result of this study, four brand experience factors have positive effect on the relationship quality. In detail, the effect of sensory experience was strongest. Furthermore, the effect of relationship quality on relationship strength also significant as prior researches addressed. The research has several marketing implication on brand experience management and customer relationship management. For service firms, customers' perception of positive brand experience can generate the tangible and intangible performance in the relationship marketing perspectives.

• Journal of Distribution Research
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• v.10 no.4
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• pp.89-111
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• 2005

The purpose of the study was to examine the role of cognitive costs in the relationship between service quality and store loyalty using structural equation modeling. The findings showed that cognitive costs playa mediating role between service quality and store loyalty. The findings also showed that physical environment indirectly affected store loyalty through cognitive cost. However, personal service had both direct effect and indirect effect on store loyalty. It was also appeared that there were differences in the models between customers and prospects.

• Journal of the Economic Geographical Society of Korea
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• v.2 no.1_2
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• pp.183-194
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• 1999

This paper examines the relationship between the locational patterns of global and domestic stores. Objective corporation for this research is the Daiei Inc., which is multinational retail corporation of general merchandise store industry. Used data are For the Customers and 1997 Annual Report published by the Daiei Inc. in 1997, and Worldwide Branch Location of Multinational Companies published by the Gale Researchy Inc. As a result it is recognized that the headquarters of supermarket companies are not necessarily established in the largest city of the store networks. In addition, the chani o stores does not always correspond to the economic territory area of a city or a regional urban system. Usually, supermarkets are established first one after another around the headquarter, so that the store network becomes intensive. Moreover, supermarket companies exhibit a tendence of expanding after having increased density of their stores in their indigenous regions. It seems that supermarket companies try to lay the foundation of their operation firmly on their indigenous regions, while they expand the store network into neighboring regions in order to enlarge their profits. This phenomenon appears more and less partly in the location of oversea purchasing offices. First oversea office location appears in neighboring countries whose headquarter is located in Japan. Another oversea office location is established in higher order city of another continent. Usally after the number of oversea offices increases in their headquarter's neighboring region, the oversea office network exhibits a tendency of expanding in another continents. in addition, network of oversea offices does not always correspond with world urban system. The location of oversea offices is formed, after internalization of supermarket stores was established in Japan. And when increasing rates of supermarket stores was low in Japan, number of oversea offices increased.

• Journal of Distribution Science
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• v.7 no.3
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• pp.5-24
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• 2009

In the retail management, store location has an important influence like business skills. The reason for failure to selecting location is that the market analysis model is not popular in business field. It gets worse in supermarket industry. Currently, store developers are relying on simple statistics and the sixth sense as market analysis techniques. lt proves that the market analysis model is not distributed well in the field. This market analysis model can apply to medium and small business market using an existing market analysis model, broad market model. And its study outcome can be theorized as a result. Converse's new retail model can be used as to analyze junction market. Pareto_Huff model can also be used to compute shopping probability. To do so, this study can be divided into walking distance market and driving distance market as a model market. Also it examines industry type such as SM and SSM. By taking consumer survey, condition of consumers to select store will be counted in shopping probability so that it improves the objectivity and reliability. Through this process, derived study outcome can be a new estimated revenue model for practical application of selecting store location in large and medium-sized supermarket.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.93-112
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• 2015

Depending on the change in consumer's consumption pattern, existing retail shop has evolved in hypermarket or convenience store offering grocery and daily products mostly. Therefore, it is important to maintain the inventory levels and proper product configuration for effectively utilize the limited space in the retail store and increasing sales. Accordingly, this study proposed proper product configuration and inventory level strategy based on RFM(Recency, Frequency, Monetary) model and SOM(self-organizing map) for manage the retail shop effectively. RFM model is analytic model to analyze customer behaviors based on the past customer's buying activities. And it can differentiates important customers from large data by three variables. R represents recency, which refers to the last purchase of commodities. The latest consuming customer has bigger R. F represents frequency, which refers to the number of transactions in a particular period and M represents monetary, which refers to consumption money amount in a particular period. Thus, RFM method has been known to be a very effective model for customer segmentation. In this study, using a normalized value of the RFM variables, SOM cluster analysis was performed. SOM is regarded as one of the most distinguished artificial neural network models in the unsupervised learning tool space. It is a popular tool for clustering and visualization of high dimensional data in such a way that similar items are grouped spatially close to one another. In particular, it has been successfully applied in various technical fields for finding patterns. In our research, the procedure tries to find sales patterns by analyzing product sales records with Recency, Frequency and Monetary values. And to suggest a business strategy, we conduct the decision tree based on SOM results. To validate the proposed procedure in this study, we adopted the M-mart data collected between 2014.01.01~2014.12.31. Each product get the value of R, F, M, and they are clustered by 9 using SOM. And we also performed three tests using the weekday data, weekend data, whole data in order to analyze the sales pattern change. In order to propose the strategy of each cluster, we examine the criteria of product clustering. The clusters through the SOM can be explained by the characteristics of these clusters of decision trees. As a result, we can suggest the inventory management strategy of each 9 clusters through the suggested procedures of the study. The highest of all three value(R, F, M) cluster's products need to have high level of the inventory as well as to be disposed in a place where it can be increasing customer's path. In contrast, the lowest of all three value(R, F, M) cluster's products need to have low level of inventory as well as to be disposed in a place where visibility is low. The highest R value cluster's products is usually new releases products, and need to be placed on the front of the store. And, manager should decrease inventory levels gradually in the highest F value cluster's products purchased in the past. Because, we assume that cluster has lower R value and the M value than the average value of good. And it can be deduced that product are sold poorly in recent days and total sales also will be lower than the frequency. The procedure presented in this study is expected to contribute to raising the profitability of the retail store. The paper is organized as follows. The second chapter briefly reviews the literature related to this study. The third chapter suggests procedures for research proposals, and the fourth chapter applied suggested procedure using the actual product sales data. Finally, the fifth chapter described the conclusion of the study and further research.

• Journal of Global Scholars of Marketing Science
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• v.8
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• pp.403-427
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• 2001

The purpose of this study is to deeply understand consumer characteristics of department stores in pusan to cope with intensive competition of distribution channels. To complete this purpose, literature study was done through secondary data, than statistical research was conducted from 23th April to 17th May, 2001, through interview with 600 consumers of Hyundai department store in Pusan. Consumers of department stores earn more money than average, and they purchase fashion goods rather than necessities at department stores. Thus to deal with discount store, department stores need to lay stress on prestigious image and fashion goods. And to deal with other competitive department stores, they have to develope more distinctive and superior marketing mix than counter part. These days distribution situations of pusan are changed owing to prohibition of shuttle bus, opening of second section of subway line 2, and opening of Lotte department store at Dongrae. Thus departments stores also have to investigate the change of shopping behavior of consumers.