• Management & Information Systems Review
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• v.18
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• pp.91-113
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• 2006

Most merchant of traditional markets think that the condition of market management is getting worse because of decreasing customers caused appearance of large retail stores such as discount store and changing of consumer's life style. Therefore special law was legislated for the activation of traditional markets in 2005. This special law include important articles about surroundings improvement, business management modernization and redevelopment of traditional markets. According to the small and medium business administration data, korea government furnished 177billion and 11billion(won) separately for the facilities and management modernization of traditional markets. Traditional markets of whole country planned and practiced modernization of facilities and management of traditional markets. And most of traditional markets interested in a large project such as establishment of arcade and car parking, remodelling of building, pavement of passageway etc. By the way, under the long term viewpoint, a large project presented above are not the best solution for the traditional markets because of its effectiveness. Maybe, for example, improvement of store signboard and display stand is more effective for the long time. As the problem of management modernization, yet a credit transactions. is the most important factor, only four markets have a plan for the credit transactions. And above all, we must realize that activation of traditional markets can be accomplished by merchant's own initiative participation.

• Journal of the Korea Safety Management & Science
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• v.12 no.1
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• pp.161-168
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• 2010

This paper presents a six sigma project for improving customer satisfaction of a franchise store. The project follows a disciplined process of five macro phase : define, measure, analyze, improve, and control(DMAIC). Due to the limitation of existing methodologies, numerous difficulties arise during the six sigma application to transactional processes. This paper expected to be helpful to service industry in which is very difficult to measure and implement.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.42-53
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• 2006

The delivery of high service quality is an evitable strategy that has been related to a success in discount store industry. Greater competitiveness has caused discount store firms to be increasingly aware of the importance of service quality to be on a competitive edge. Also, the fact that service quality leads to customer satisfaction has driven many researchers and practitioners to focus on the issue. What we suggest is that customer's expectation change of service quality cannot be regarded as two totally unrelated processes. If quality judgments are based on expectations, it is important to understand the origins of those expectation change. Therefore, if being of effecting factors between the latest expectation and the changed expectation of service quality will prove out, service firms are possible to operate efficiency quality management for getting customer satisfaction.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.459-460
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• 2023

본 연구는 매장의 인력을 효율적으로 관리할 수 있는 기능을 제공한다. 매장 운영시 매장 직원의 갑작스런 결근으로 업무의 공백이 발생할 수 있다. 이러한 결근으로 인해 매장이 정상적으로 인력을 보충하지 못하여 발생하는 문제로 인해 업장 운영에 큰 차질을 가질 수 있다. 이러한 문제를 해결하고자 본 연구에서는 결근으로 인한 업무의 공백을 미연에 방지하기 위한 기능을 제공한다. 본 연구는 매장 관리를 위해 필요한 실시간 채팅, 캘린더, 인수인계와 같은 다른 애플리케이션들의 기능을 하나의 애플리케이션에서 처리하고, 대타 및 보충 인력을 사전에 또는 긴급으로 보충할 수 있도록 하였다.

• Culinary science and hospitality research
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• v.22 no.2
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• pp.252-269
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• 2016

This study was conducted to analyze the influence of the service quality of the food court on customer satisfaction, revisit intention in a discount store. Among the 400 surveys, 371 participants were collected and 350 respondents were analyzed for the statistical analysis to verify research purposes. SPSS 21.0 program was used to derive the following: factor analysis, reliability analysis, simple regression, and multiple regression analysis. Results shown that, first, service quality at the discount store can affect the customer's satisfaction. The factors which can affect the customer's satisfaction are type, empathy and credibility but guarantee and reactivity don't affect it. Second, service quality at the discount store can affect a customer's revisiting. The factors which can affect the customer's revisiting are type, guarantee, empathy and credibility but reactivity doesn't affect it. Third, the customer's satisfaction at the discount store can affect the customer's revisit intention. Through this study, food court service quality can affect not only the customers' satisfaction but also consumers' revisit intention. Therefore, the company and the management need to keep researching and developing various menus, customer service training, and hygiene training in order to set the customer at ease along with making a comfortable mood and set up a dine out & meeting system.

• Information Systems Review
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• v.23 no.1
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• pp.155-172
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• 2021

With the recent increase in online product purchases, a recommender system that recommends products considering users' preferences has still been studied. The recommender system provides personalized product recommendation services to users. Collaborative Filtering (CF) using user ratings on products is one of the most widely used recommendation algorithms. During CF, the item-based method identifies the user's product by using ratings left on the product purchased by the user and obtains the similarity between the purchased product and the unpurchased product. CF takes a lot of time to calculate the similarity between products. In particular, it takes more time when using text-based big data such as review data of Amazon store. This paper suggests a hybrid recommendation system using a 2-phase methodology and text data mining to calculate the similarity between products easily and quickly. To this end, we collected about 980,000 online consumer ratings and review data from the online commerce store, Amazon Kinder Store. As a result of several experiments, it was confirmed that the suggested hybrid recommendation system reflecting the user's rating and review data has resulted in similar recommendation time, but higher accuracy compared to the CF-based benchmark recommender systems. Therefore, the suggested system is expected to increase the user's satisfaction and increase its sales.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3207-3212
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• 2009

Automatic semiconductor manufacturing systems are demanded to improve the efficiency of the semiconductor production process. These systems include the functionalities such as the analysis and management schemes for very large real-time data in order to enhance the productivities. So, it requires the efficient storage management system to store very large real-time data. Traditional database management systems(e.g. Oracle, MY-SQL, MS-SQL) are based on disk. However, previous DBMS's have the limitation on the low storing performance. In this paper, we propose a compress-merge storing method of very large real-time data using insert transaction of a block unit. The proposed method shows better processing performances compare to conventional DBMS's. Also compress-merge method makes it possible that it can store large real-time data on low storage cost. Therefore, the proposed method can be applied to an efficient storage management system in the semiconductor production process.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.9_10 s.157
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• pp.1423-1433
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• 2006

The purpose of this study is to explore the impact of window information on consumers' willingness to visit a fashion store according to their clothing shopping orientation. The sutjects of the research are conveniently selected females over the age of 20 living in Busan. A total of 202 questionnaire are collected far data analysis. The results of this study are as follows: 1. The factor analysis to identify the clothing shopping orientation showed four factors, such as hedonic, planned, independent/loyalty, and impulsive/convenience. A cluster analysis conducted by the four factors resulted in four patterns - utilitarian shopping orientation group, impulsive/convenience shopping orientation group, hedonic shopping orientation group, independent/loyalty shopping orientation group. 2. The window information conducted by factor analysis were divided into the four levels-product information, promotion information, fashion information, and store image. 3. A one-way ANOVA analysis carried out to find the window information effects among the groups revealed that there were significant differences in the factors of promotion information, fashion information, and store image. 4. Multi-regression analysis was conducted in order to find the impact of window information on the consumers' willingness to visit a fashion store. As a result, fashion information had the most impact on utilitarian shopping group, while product information, promotion information and store image had a great impact on impulsive/convenience shopping orientation group, fashion information and store image had the most impact on hedonic shopping orientation group.

• Journal of Global Scholars of Marketing Science
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• v.16 no.1
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• pp.45-71
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• 2006

Questionnaire data of 287 patrons of Tesco's Homeplus, Carrefour, Ermart, and Wal-rnart in the northern Daegu, Korea, using a structural equation model, were analyzed to investigate the hierarchical effects of values on discount store re-patronage intention as a measure of store loyalty, mediated by customers' evaluations of store associations. It was revealed that while customers' social affiliation value has a positive effect on store atmosphere evaluation, customers' self-actualization value has a positive impact on both after-sale service and employee services. It was also revealed that three associations such as access to a store, interior design, and employee services in their descending order have strong positive influences on the formation of customers' re-patronage intention. Theoretical and managerial implications are discussed in the conclusion.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.209-219
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• 2013

Smart phone environment have an effect on consumer life style, as well as advances in technology. In this paradigm shift on digital convergence make change to commodities, services, and distribution channels for consumers. HomePlus wholesale that is representative distribution company in Korea launched the new distribution channel model that combined off-line store with online store and mobile shopping system called 'smart mobile virtual store'. That is highly praised by abroad media and festivals. This study is an exploratory study on consumer-centric smart mobile virtual store of HomePlus. There are value and chance for developing the new digital distribution model, in this study, because the case study and evaluation of consumers is important in this momentous time.