• 경영과학
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• 제16권2호
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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.

• 한국의류산업학회지
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• 제10권6호
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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.

• 패션비즈니스
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• 제9권4호
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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.

• 한국의류산업학회지
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• 제22권3호
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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.

• 한국의류산업학회지
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• 제22권1호
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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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• 제17권2호
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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.

• 유통과학연구
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• 제15권4호
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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.

• 경영정보학연구
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• 제5권2호
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• pp.91-108
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• 2003

인터넷과 웹을 전략적으로 이용하는 기업들이 기하급수적으로 증가하면서, 많은 기업들이 웹 사이트를 구축하여 운영하고 있다. 그러나 아직도 대부분의 기업들은 이를 충분히 활용하고 있지 못한 실정이다. 훌륭한 웹사이트를 구축했다 할지라도, 웹사이트가 사용자의 니즈를 충족시키지 못하고 사용자들이 웹사이트에 흥미를 느끼지 못한다면 웹사이트의 효과는 줄어들 것이다. 본 연구는 이러한 측면에서 사용자의 관점에서 본 웹 사이트의 동기유발 효과에 대하여 연구하였으며, 업종별 웹사이트 평가는 WebMAC Business에서 제공하는 흥미적 요인, 의미적 요인, 구조적 요인, 사용용이성 요인으로 사용자의 모티베이션을 측정하였다. 결과적으로, 이들 4가지 요인들은 업종별로 유의한 차이를 보였으며, 금융업, 인터넷 기업, 소매업에 비해 제조업은 상대적으로 웹 사이트의 모티베이션이 낮게 평가되었다.

• 한국의류학회지
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• 제32권12호
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• pp.1915-1926
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• 2008

국가와 산업의 이미지가 제품 평가에 영향을 미치고 있다는 것은 주지의 사실이지만, 그러한 영향력의 경로가 되는 매체에 관한 연구는 부족하다. 본 연구는 미국의 대중매체에 드러난 한국의 패션산업 이미지가 한국의 패션제품을 평가하는데 영향을 미칠 것이라는 기본 가정하에, 한국 패션산업의 어떤 측면이 독자들에게 부각되고 있는지를 규명하고자 하였다. 미국의 명성 있는 패션전문 일간지인 WWD(Women's Wear Daily)를 선택하여 한국 패션산업과 관련된 내용분석을 시도하였다. 1998년 1월 1일부터 2008년 6월 30일까지 게재된 기사 중 "Korean" 이라는 단어를 포함한 기사를 우선적으로 검색하고 패션분야와 관련된 기사 총 329개를 최종적으로 선택하여 분석하였다. 섬유공급망 관리 상의 역할별로 분석 범주를 설정하고, 한국 패션산업이 공급망 상에서 어떤 역할을 담당하는 주체로 부각되고 있는지 살펴 보았다. 그 결과, 한국의 패션산업은 섬유와 원단공급업자, 혹은 의류제조업자로서의 역할을 담당하는 것으로 인식되는 경우가 많았다. 이는 역사적으로 한국이 미국의 패션산업의 주요 소싱국가였던 이력을 반영하는 결과이다. 디자인, 브랜딩, 마케팅, 소매유통업을 담당하는 역할자로서 한국 패션산업을 바라보는 관점은 상대적으로 미약하였다. 또한, 한국 패션산업은 패션에 관심이 많고 세계의 유명 고가 브랜드 제품을 소비할 수 있는 의미 있는 시장을 보유하고 있는 것으로 높게 인식되고 있는 반면 한국 패션산업은 거시 경제의 환경 변화에 따라 경기변동을 펴는 취약점이 있음이 부각되기도 하였다.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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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.