• Korean Management Science Review
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• v.16 no.2
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• pp.1-11
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• 1999

A well-designed location strategy is an integral and important part of corporate strategy for retail firms. The last five years witnessed major changes in retailing industry. A growing city population, rising income levels. and the emergence of suburb areas presented ratailers with new challenges. Mass discount merchandisers and supermarkets expanded rapidly, spreading from Seoul into smaller cities. The rapid increase of mass discount stores raised new concerns and gave rise to the need from a systematic approach to location analysis. In this paper, we present the mathematical background and characteristics of DEA(Data Envelopment Analysis) model, and give a short case study where we apply the DEA model to compute the relative efficiency of 11 Korean mass discount merchandisers. Interpretation of the result is also provided.

• Fashion & Textile Research Journal
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• v.10 no.6
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• pp.907-916
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• 2008

The purposes of this study were to examine the consumer beliefs on the wrongness and occurrence of unethical behaviors in retail settings, to examine the differences in unethical beliefs by consumer characteristics, and to examine the effects of anomie on unethical beliefs. A total of 609 questionnaires collected from a consumer survey were analyzed. Results revealed that respondents tended to perceive illegal activities as the most unethical and the least prevalent behaviors and downloading intellectual properties as the least unethical and the most prevalent behaviors. There were differences by age, marital status, occupation, and education in the four dimensions of unethical beliefs including actively benefiting from illegal/deceiving activities, passively benefiting at the expense of the seller, no harm/no foul, and common but questionable actions. Partial differences were observed by shopping frequency and return experience. Valuelessness of anomie affected actively benefiting from illegal/deceiving activities and no harm/no foul.

• Journal of Fashion Business
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• v.9 no.4
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• pp.44-58
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• 2005

In a global market environment with information technology, the textile and apparel industry tries to survive by having competitive power embedded in Supply Chain Management to improve the interrelation among different stages of industries such as fiber, textile, apparel manufacturing, and retailing. The purpose of this empirical study was to investigate performance on Supply Chain Management of textile firms such as 4 textile export firms and 10 collaborate firms which were adopted SCM system. For research methodology, we developed questionnaires based upon interview and literature review. The results of this study were as follows: There were neutral responses or somewhat dissatisfactions on SCM application from CEOs, CMOs, site workers, and collaborators, but over half of respondents indicated 21-40% improvement of affairs. Standard documents and information sharing of SCM system were salient effects. SCM system with standard documents improved receipts/payments and inventory management most.

• Fashion & Textile Research Journal
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• v.22 no.3
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• pp.323-334
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• 2020

This study analyzed the effects of consumers' characteristic variables on information search and purchase decisions in a decision-making process that validated the path model in purchasing apparel products. In constructing a structural equation model using AMOS 19.0., the variables including enjoyment pursuit, price pursuit, product involvement and product risk were selected as consumers' characteristic variables affecting the stage of information search. A questionnaire was distributed to consumers over 20 years old who purchased apparel products using offline and online channels within one year; consequently, we were able to analyze 468 effective data. The results were as follows. First, the path model of this research proved to be the appropriate model explaining the effects of consumers' characteristic variables on the stage of purchase decision-making. Second, enjoyment pursuit had a significant positive influence on offline information search; in addition, price pursuit and product risk affected the online information search significantly. Product involvement affected online information search as well as offline information search. Third, the offline information search affected offline purchase and online information search affected online purchase. However, consumer's channel switching behavior between the stage of information search and the stage of purchase decision was not proven. The findings suggest that companies need to develop distribution strategies according to consumers' characteristic factors that effect consumer's purchase decision-making.

• Fashion & Textile Research Journal
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• v.22 no.1
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• pp.25-37
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• 2020

This study investigates the clothing purchase behavior of active seniors in their 50s and 60s. Differences of clothing purchase behaviors were examined according to gender and the group classified by shopping orientation. Data were collected from September 2 to September 9, 2019 using a professional internet research panel; subsequently, 246 sets of useful data were analyzed by descriptive statistics, factor analysis, reliability analysis, t-test, chi-squared test, ANOVA and Duncan-test using SPSS 21.0. The results of this study were as follows. First, there were significant differences in clothing purchase behavior of purchase frequency, purchase item, purchase price, and purchase channel according to gender; therefore marketers need plan different merchandising and retailing strategies between man's wear and woman's wear. Second. the result of cluster analysis by shopping orientation showed that active seniors were categorized into four groups including 'active shopping pursuit', 'economic/pleasure pursuit', 'convenience/brand pursuit', and 'passive shopping pursuit'. Third, there were significant differences in demographic variables such as gender and occupation according to four categorized groups. In addition, the significant differences of clothing purchase behaviors were verified according to four groups. 'Active shopping pursuit' group was shown to make the best use of offline channels and online channels in information research and product purchase.

• Asia Marketing Journal
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• v.17 no.2
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• pp.97-125
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• 2015

In this study, we tried to evaluate the relative importance and find out the differences in consumer perceptions regarding service recovery strategies and the service provider in the distribution industry by using AHP (Analytic Hierarchy Process) analysis method. Therefore in this study, we tried to systematize various recovery strategies which were considered very important during service failure process in the distribution industry and analyze the relative importance for each recovery strategy. We set hierarchy composed of four items of monetary, action-oriented, psychological, and assured level as primary selection criteria and a total of 16 items(indemnity, refund, gift, gift certificate, prompt resolution, exchange, manager support, explanation, apology, empathy, acknowledge, kindness, assortment, after service, manage subcontractor, manage employee) as secondary selection criteria. We tried to take one step further from the service sector and study service recovery strategies specialized in distributor services. This study suggests various implications about service recovery strategies of distributors. First, this study can provide practical implications - e.g. service recovery efforts should be applied differently depending on service channels. There is a perceptual difference with respect to the importance of the types of service recovery strategies between service provider and final customer. Second, we can find theoretical implications in terms of identifying the priorities through hierarchy design of new recovery strategies and comparison of each element from the classifications of the current fractional recovery strategies. We hope to help service providers to build more efficient recovery strategy system based on the results of this study.

• Journal of Distribution Science
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• v.15 no.4
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.12
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• pp.1915-1926
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• 2008

Although we know that images of a country or an industry are influential factors in product evaluation, there has been little discussion about the channels through which consumers form a country or an industry image. Guided by the assumption that the image of the Korean fashion industry conveyed through U.S. media will likely affect the evaluation of Korean fashion products, we decided to examine articles published between January 1998 and June 2008 in Woman's Wear Daily(WWD), a prestigious U.S. daily trade newspaper covering all aspects of the national and international fashion business. By using the "Korean", we found 329 relevant articles. Through content analysis, we identified the aspects of the Korean fashion industry that have been considered salient to U.S. fashion media professionals. We set up categories based on the contents of the articles that discussed segments of the supply chain of the fashion industry. We found more comments on the Korean fashion industry as fiber and fabrics supplier or apparel manufacturer than in any other categories, which reflects that South Korea has been traditionally one of the most attractive sourcing countries for the U.S. fashion business. We identified significantly less coverage on the designing, branding, marketing, and retailing aspects of the Korean fashion industry. Due to economic boom in Korea, the country's fashion industry is recognized as having a highly fashion-conscious market that can afford the world's premium brands. However, the industry is viewed as being rather vulnerable to changes in the macro economic environment.

• Information Systems Review
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• v.5 no.2
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• pp.91-108
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• 2003

The number of companies which use Internet and Web grow at an explosive rate and most of them made use of the Web sites for business activity such as publicity, advertising, customer support, and online retailing. However, there are very few empirical studies on web sites evaluation based on theoretical framework. The primary purpose of this study is to evaluate motivational effectiveness of Web sites using the WebMAC Business instrument. In this paper, we introduced a lot of Web sites evaluation studies and several IS studies based on the motivation theory. Web sites evaluation was performed by four motivational factors which include stimulating, meaningful, organized, and easy-to-use. There are significant differences among the industry type about motivational factors. This study identifies areas for improvement of existing Web sites and suggests several guidelines for development of Web sites from the user's perspective.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.1005-1015
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• 2020

This paper aims to propose a Comprehensive Decision Support Model to evaluate retail companies' financial performance traded on the Vietnam Stock Exchange Market. The financial performance has been examined in terms of the valuations ratios, profitability ratios, growth rates, liquidity ratios, efficiency ratios, and leverage ratios. The data of twelve companies from the first quarter to the fourth quarter of 2019 and the first quarter of 2020 were employed. The weights of 18 chosen financial ratios are calculated by using the Standard Deviation method (SD). Grey Relational Analysis technique was applied to obtain the final ranking of each company in each quarter. The results showed that leverage ratios have the most significant impact on the retail companies' financial performance and gives some long-term investment recommendations for stakeholders and indicated that the Taseco Air Services Joint Stock Company (AST), Mobile World Investment Corporation (MWG), and Cam Ranh International Airport Services Joint Stock Company (CIA) are three of the top efficient companies. The three of the worst companies are Viglacera Corporation (VGC), Saigon General Service Corporation (SVC), and HocMon Trade Joint Stock Company (HTC). Furthermore, this study suggests that the GRA model could be implemented effectively to ranking companies of other industries in the future research.