• The Journal of Economics, Marketing and Management
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• v.5 no.3
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• pp.12-20
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• 2017

The study examined effects of psychological change of distribution environment upon commercial areas to investigate consumers' experience and theory and to suggest power of new management strategy for growth of retailers A The study investigated actual conditions of business transaction of hyper market by blind interview. In April, 2016, the author visited 6 manufacturers to do depth interview. The questionnaire between food manufacturers and hyper market investigated the Association of Food Industries in Korea, NH Nonghyup and large manufacturers in July 2012. Questionnaires of 25 companies were used after excluding questionnaire having poor and inadequate answers. The sales commission with large scaled distribution business decreased (0.3 ~ 0.7) to increase additional expenses such as number of salesmen, interior expenses and economic costs (0.7 ~ 40%). (source: Fair Trade Commission). Fair Trade Commission released types and notice of unfair trade of large scaled retail business based on monopoly regulation and fair trade (hereinafter called 'notice of large scaled retail) to prevent large scaled distribution business from doing unfair trade. The notice controled unfair trade at different position between large scaled distribution business and small vendors.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.8
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• pp.89-97
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• 2022

The e-commerce market faces significant credit risks due to the complexity of the industry and information asymmetries. Therefore, credit risk has started to stymie the growth of e-commerce. However, there is no reliable system for evaluating the creditworthiness of e-commerce companies. Therefore, this paper constructs a credit risk evaluation index system that comprehensively considers the online and offline behavior of online retail enterprises, including 15 indicators that reflect online credit risk and 15 indicators that reflect offline credit risk. This paper establishes an integration method based on a fuzzy integral support vector machine, which takes the factor analysis results of the credit risk evaluation index system of online retail enterprises as the input and the credit risk evaluation results of online retail enterprises as the output. The classification results of each sub-classifier and the importance of each sub-classifier decision to the final decision have been taken into account in this method. Select the sample data of 1500 online retail loan customers from a bank to test the model. The empirical results demonstrate that the proposed method outperforms a single SVM and traditional SVMs aggregation technique via majority voting in terms of classification accuracy, which provides a basis for banks to establish a reliable evaluation system.

• Journal of Distribution Science
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• v.12 no.11
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• pp.77-83
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• 2014

Purpose - The National Agricultural Cooperative Federation of Korea and National Fisheries Cooperative Federation of Korea have prosecuted both financial and retail businesses. As cooperatives are public institutions and receive government support, their sound management is required by the Financial Supervisory Service in Korea. This is mainly managed by CAEL, which is changed by CAMEL. However, NFFC's business section, managing the finance and retail businesses, is unified and evaluated; the CAEL model has an insufficient classification to evaluate the retail industry. First, there is discrimination power as regards CAEL. Although the retail business sector union can receive a higher rating on a CAEL model, defaults have often been reported. Therefore, a default prediction model is needed to support a CAEL model. As we have the default prediction model using a subdivision of indexes and statistical methods, it can be useful to have a prevention function through the estimation of the retail sector's default probability. Second, separating the difference between the finance and retail business sectors is necessary. Their businesses have different characteristics. Based on various management indexes that have been systematically managed by the National Fisheries Cooperative Federation of Korea, our model predicts retail default, and is better than the CAEL model in its failure prediction because it has various discriminative financial ratios reflecting the retail industry situation. Research design, data, and methodology - The model to predict retail default was presented using logistic analysis. To develop the predictive model, we use the retail financial statements of the NFCF. We consider 93 unions each year from 2006 to 2012 to select confident management indexes. We also adapted the statistical power analysis that is a t-test, logit analysis, AR (accuracy ratio), and AUROC (Area Under Receiver Operating Characteristic) analysis. Finally, through the multivariate logistic model, we show that it is excellent in its discrimination power and higher in its hit ratio for default prediction. We also evaluate its usefulness. Results - The statistical power analysis using the AR (AUROC) method on the short term model shows that the logistic model has excellent discrimination power, with 84.6%. Further, it is higher in its hit ratio for failure (prediction) of total model, at 94%, indicating that it is temporally stable and useful for evaluating the management status of retail institutions. Conclusions - This model is useful for evaluating the management status of retail union institutions. First, subdividing CAEL evaluation is required. The existing CAEL evaluation is underdeveloped, and discrimination power falls. Second, efforts to develop a varied and rational management index are continuously required. An index reflecting retail industry characteristics needs to be developed. However, extending this study will need the following. First, it will require a complementary default model reflecting size differences. Second, in the case of small and medium retail, it will need non-financial information. Therefore, it will be a hybrid default model reflecting financial and non-financial information.

• Journal of the Korean Home Economics Association
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• v.49 no.4
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• pp.25-35
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• 2011

This study was intended to suggest overseas expansion strategy of Korean fashion character through sensitive space creation. This study reviewed literature, and did internet searching and observation. For the research methods were the analysis of the main retail spaces utilizing character and case study for the classification of collaboration types between retail space and character. As a results, 8 collaboration types between space and character were extracted: collaboration between retail distribution space and character, collaboration between product space and character, collaboration between service space and character, collaboration between experience space and character, collaboration between moving space and character, collaboration between publicity & advertising space and character, and collaboration between exhibition space and character. This study suggested the necessity of consistent identity strategy between character and retail space for a new character brand and the effectiveness of collaboration strategy for enhancement of character brand awareness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6676-6684
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• 2014

This paper analyzed an existing literature review of street environment, density, accessibility, and diversity in terms of not the street level, but also the urban context level. In addition, this paper examined Jane Jacobs' theory (1961) regarding the relevance between the diversity of facilities and increasing volume of pedestrians. To find the explanation ability and significance among variables, this paper employed Enter's method of Regression Analysis in the industrial classification of restaurant business and liquor business. This empirical analysis of both theories of Jacobs (1961) and MacCormac (1983) had a different signification from existing research. Jacobs (1961) suggested the relevance among various facilities for increasing the volume of pedestrians, and MacCormac (1983) explained the different impact by industrial classification. In future research, the subdividing of industrial classification is necessary for a more precise and specific analysis.

• The Journal of Society for e-Business Studies
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• v.17 no.1
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• pp.91-110
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• 2012

Recently the effort of retailers improving the efficiency of store operations by using the information technology (IT) is increasing. Among them, the analysis of the shoppers' flow in retail stores is one of the critical tasks since it is an essential part in optimizing store layout and item grouping, and in developing the customized services specialized to shoppers' classification. Agent-Based Modeling and Simulation (ABMS) is one of the most promising methods which support analyzing the shoppers' flow. In this paper, we suggested a shopper's behavior model and developed an agent-based simulator for optimizing the operations of retail stores. In order to model the shoppers' behavior, we analyzed the behavioral characteristics of shoppers based on their shopping lists, suggesting BDI-based agent models of the shoppers' behavior. The shopping agent model were suggested, which has an additional mental state, the shopper's behavioral characteristic, as well as the original mental states of the BDI theory which has beliefs, desires and Intentions. The result of this study can be used in as a preliminary study for modeling and simulation of retail stores congestion and in the end the optimization of item grouping and store layout.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.51-61
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• 2022

Purpose - The purpose of this study is to establish the government's logistics policy by calculating the logistics cost of the company and grasping the management status, to reduce the logistics cost of the related companies and to provide basic statistical data necessary for the management strategy. This work examines some associations between reasons for reducing corporate logistics costs (RCLC) and corporate classification such as industry and sales size. Research design, data, and methodology - The survey was conducted in 2018 for 2,000 companies based on the business of mining, manufacturing and wholesale and retail industries since 2010. The survey population is 94,976, of which 92,708 are small and medium enterprises and 2,268 are large corporations. The association among factors may be statistically and visually explored by using chi-squared test and correspondence analysis. Result - This study reveals the association between reasons for RCLC and corporate classification and properties and closeness that exist between the categories of each factor can be mined. Conclusion - As a task to reduce logistics costs of industrial products, expansion and operation of joint logistics business, establishment of cooperative logistics network, and establishment of ordinance on support for smart distribution logistics can be proposed.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.552-559
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• 2002

With a severe restructuring and a high competition in the bank industry, the emphasis of business is increasingly put on profitability. Especially for retail banks, the classification and management of customers based on profitability becomes important issues. However, the cost required in maintaining relevant systems is so high also with one spent in acquiring data for customers as a whole. In fact, most benefit of a certain bank is gathered from a few loyal customers. Accordingly, most of banks are vigorously trying to measure ROI of the few royal customers and striving to raise earnings from them. This is also true to domestic retail banks which are recognizing the need of loyalty program and operating diverse programs. This report is executed to help design and manage effective loyalty programs. We conducted interviews on the persons in charge of royalty programs of 9 major domestic retail banks and made a survey on 5 banks among them. Based on data from these researches, we reviewed on royalty programs of Korean domestic banks and propose improvement measures to facilitate royalty program.

• Journal of Distribution Science
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• v.11 no.12
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• pp.25-37
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• 2013

Purpose - The structure of retailing has changed as retailers develop markets in response to business environment changes. This study aims to analyze the general situation of retailers in order to predict future global strategy using case studies of overseas expansion strategy and the Metro Group's global strategy. Research design, data, and methodology - The backgrounds to the new retail business model and retailer classification are analyzed as theoretical data. In addition, the key success point of the Metro Group's "cash and carry" strategy is analyzed as is the Metro Group's global CFAR (collaborative planning, forecasting, and replenishment) strategy. Finally, the plan for cooperation and precise forecasting under the Metro Group's supply chain management are analyzed from the promotion environment viewpoint. Related materials analyzed included the 2012 annual report, the Metro Group's web page, and a video interview with the executive in charge of global strategy and the new market development department. Some data were revised to avoid disrupting essential aspects of the case studies. Results - The important finding was that the Metro Group could be a world-class retail company with its successful global expansion strategy. The Metro Group's global strategy's primary goal is to have a leading business position in Eastern and Western Europe. The "cash and carry" strategy is highest priority in its overseas expansion strategy. Moreover, the Metro Group has standardized product planning capacity, which could be applied in various countries with different structural and cultural backgrounds. This is the main reason that the Metro Group could rapidly become successful in the Eastern Europe and Asian markets through its structural overseas expansion strategies. In addition, the Metro Group emphasizes the importance of supply chain management. Conclusions - First, retailers should create additional value through utilizing the domestic market, market power, and economies of scale to launch a global strategy to maximize benefits from diversification. Second, the political, economic, and cultural background of the target country needs to be understood to successfully implement the overseas expansion strategy. Third, the main factor of successful cooperation with a local partner is how quickly the company gains total understanding of the business resources and core competence of its partner. All organizations should focus on the achievement of goals in order to successfully operate the partnership. Fourth, retailers should improve their business, financial and organizational structure. Moreover, the work processes and company culture should also be improved to respond strongly in the competitive global market. Fifth, the essential point of a successful retail business is the control capacity of its branding and format. The retailer could avoid forecasting errors through supply chain management by perfectly distributing the actual amount of its inventory. In addition, the risks along the supply chain are effectively shared between the supply chain partners. Finally, the central tendency of the market is to gain in strength with this taking place across all parts of the business.

• Journal of Fashion Business
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• v.12 no.6
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• pp.34-45
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• 2008

This research was designed to find decision factors through color assortment planning process by Korean women's clothing merchandisers and to look for if there exists difference with American women's clothing merchandisers. A merchandise assortment is a collection of various quantities of styles, colors, sizes, and prices of related merchandise, usually grouped under one classification within a department. The subjects were 20 women's clothing merchandisers who work for clothing retail stores from 5 to 22 years in US and Korea. The authoring process was done for qualitative data analysis. The decision factors of color assortment planning were identified with four stages; information search, qualitative evaluation, quantitative evaluation, and selection. There were differences of color assortment decision factors due to different business types, business sizes, fashion-ability, sourcing ways, and merchandise turnover. Noticeable color assortment decision factor differences caused by country difference were not found except considering the target market ethnicity and skin color in US market. Korea merchandisers seem to be more sensitive to present sales data usages and spot order availability in color assortments because of more local production use than American merchandisers.