• Journal of Distribution Research
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• v.3 no.1
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• pp.71-98
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• 1998

This study aimed to investigate how such retailers as department stores, large discount stores, book wholesalers, and clothing wholesalers used information technology for the QR strategy and whether the QR strategy had an effect on performance with a focus on the pipeline strategy. For this purpose, the QR strategy was divided into transaction efficiency, supplier partnership, and customer detail strategy. The differences in performance and information technology were analyzed according to the fit of the pipeline strategy, such as internal focus, supplier focus, and customer focus, the business strategy which were used by the retailers. And, an attempt was made to investigate whether performance was raised according to the level of adopting information technology. The results can be summarized as allows. First, the adaptive level of information technology had an effect on performance. But, seeing that the explanatory power of the regression analysis on the effect of the adaptive level of information technology on performance was shown to be very weak, it is judged that the level of QR information technology in the responding firms was very low compared to that of foreign firms. Second, information technology used by the retailers included universal product code, bar coding, customer database, and information utilities. It was shown that the group of firms seeking the transaction efficiency QR strategy and the internal focus pipeline strategy had the higher level of information technology than the retailers seeking other customer detail QR strategy and the customer focus pipeline strategy and the retailers with inconsistent strategy. This indicates that the firm seeking to raise its internal efficiency has a high level of using information technology. At the end of the paper, managerial implication and future research directions were discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.81-87
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• 2015

The purpose of this study is to explore the relationships among CSR activities, relationship quality, and organizational performance in an exclusive Liquor licensed Wholesalers in Korea. In this research, CSR activities consists of four factors including characterizes(consumer, economy, philanthropy, and environment). First, this study investigated how CSR activities affected both Honesty Trust and Reciprocity Trust, second analyzed how both Honesty Trust and Reciprocity Trust influenced organizational performance. The data were obtained from a questionnaire handed out to a random sample of 95 individuals that exclusive license operators. With the information obtained, and after the scales validation process, PLS(Partial Least Square) has been conducted. The analysis results indicate that CSR activities, relationship quality, and organizational performance in an exclusive license operators. According to the analysis, first, both economy and environment affect both Honesty Trust and Reciprocity Trust. second Honesty Trust affect organizational performance. Finally, based in the findings of this study, theoretical contribution and managerial implications are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.3
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• pp.1171-1179
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• 2013

Recently there is show deep concern at the wellness of health and beauty. therefore this study is to investigate an empirical study on the relational characteristics and collaboration between wholesalers and oriental clinic in herb medicine supplier channel, specially focused on lycium chinense. We collected statistically usable data from 119 questionnaire respondents who live in national provinces and analyzed them with SPSS 20.0 to achieve research's goals. Analysis results revealed that, first, relational characteristics of relationalism, trust, reward power and dependence had impacts on satisfaction between wholesaler and oriental clinic in herb medicine, Second, the survey found that satisfaction has impact on collaboration. Third, this study partially supported mediating effect regarding satisfaction between relational characteristics of relationalism and reward power.

• Journal of Intelligence and Information Systems
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• v.20 no.3
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• pp.93-108
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• 2014

To support business decision making, interests and efforts to analyze and use transaction data in different perspectives are increasing. Such efforts are not only limited to customer management or marketing, but also used for monitoring and detecting fraud transactions. Fraud transactions are evolving into various patterns by taking advantage of information technology. To reflect the evolution of fraud transactions, there are many efforts on fraud detection methods and advanced application systems in order to improve the accuracy and ease of fraud detection. As a case of fraud detection, this study aims to provide effective fraud detection methods for auction exception agricultural products in the largest Korean agricultural wholesale market. Auction exception products policy exists to complement auction-based trades in agricultural wholesale market. That is, most trades on agricultural products are performed by auction; however, specific products are assigned as auction exception products when total volumes of products are relatively small, the number of wholesalers is small, or there are difficulties for wholesalers to purchase the products. However, auction exception products policy makes several problems on fairness and transparency of transaction, which requires help of fraud detection. In this study, to generate fraud detection rules, real huge agricultural products trade transaction data from 2008 to 2010 in the market are analyzed, which increase more than 1 million transactions and 1 billion US dollar in transaction volume. Agricultural transaction data has unique characteristics such as frequent changes in supply volumes and turbulent time-dependent changes in price. Since this was the first trial to identify fraud transactions in this domain, there was no training data set for supervised learning. So, fraud detection rules are generated using outlier detection approach. We assume that outlier transactions have more possibility of fraud transactions than normal transactions. The outlier transactions are identified to compare daily average unit price, weekly average unit price, and quarterly average unit price of product items. Also quarterly averages unit price of product items of the specific wholesalers are used to identify outlier transactions. The reliability of generated fraud detection rules are confirmed by domain experts. To determine whether a transaction is fraudulent or not, normal distribution and normalized Z-value concept are applied. That is, a unit price of a transaction is transformed to Z-value to calculate the occurrence probability when we approximate the distribution of unit prices to normal distribution. The modified Z-value of the unit price in the transaction is used rather than using the original Z-value of it. The reason is that in the case of auction exception agricultural products, Z-values are influenced by outlier fraud transactions themselves because the number of wholesalers is small. The modified Z-values are called Self-Eliminated Z-scores because they are calculated excluding the unit price of the specific transaction which is subject to check whether it is fraud transaction or not. To show the usefulness of the proposed approach, a prototype of fraud transaction detection system is developed using Delphi. The system consists of five main menus and related submenus. First functionalities of the system is to import transaction databases. Next important functions are to set up fraud detection parameters. By changing fraud detection parameters, system users can control the number of potential fraud transactions. Execution functions provide fraud detection results which are found based on fraud detection parameters. The potential fraud transactions can be viewed on screen or exported as files. The study is an initial trial to identify fraud transactions in Auction Exception Agricultural Products. There are still many remained research topics of the issue. First, the scope of analysis data was limited due to the availability of data. It is necessary to include more data on transactions, wholesalers, and producers to detect fraud transactions more accurately. Next, we need to extend the scope of fraud transaction detection to fishery products. Also there are many possibilities to apply different data mining techniques for fraud detection. For example, time series approach is a potential technique to apply the problem. Even though outlier transactions are detected based on unit prices of transactions, however it is possible to derive fraud detection rules based on transaction volumes.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.14-20
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• 2003

Supply chain is the link that moves products between suppliers, manufactures, wholesalers, distribution, retailers and ended consumers. Supply chain management(SCM) is a way to supervise the flow of products, materials and information as they move along the supply chain. In the recent years, Most of the companies are in a hurry the introduction of SCM to obtain international competitiveness. The goal of SCM is to optimize the supply chain, which can not only reduce inventories, but may also create a higher profit margin for finished goods by giving customers exactly what they want. There are four major decision areas (location, production, inventory, transportation) in supply chain management, and there are both strategic and operational elements in each of these decision areas. This paper is concerned with the integrated production planning problem including not only the production cost but also the transportation cost in supply chains, and an efficient algorithm using genetic algorithm and quickest path method is presented to solve the problem.

• Korean journal of food and cookery science
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• v.13 no.3
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• pp.319-329
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• 1997

Food procurement practices in elementary schools were evaluated to provide basic information for the efficient foodservice management. Total 85 self-completed questionnaires were collected out of 134 dieticians working for elementary schools in Kyungkido, and analyzed for demographic background, purchasing activities and processing-food utilization status. The results were as follows: 1. The elementary schools were located in urban (22.0%), provincial (58.5%), and isolated areas (19.5%). 2. 62.4% of them were conventional schools and rest of them were commissary schools (37.6%). 3. As the total meals produced in schools increased, the number of meals served per foodservice staff and the workload increased, and more foods were purchased through wholesalers and competitive bids. 4. There were no significant differences (p > 0.05) in food procurement practices by the location, type of foodservice systems and the size of schools. 5. As the number of total meals in schools increased, the level of FPI (Food Processing Index) points for meat products, fish products, kimchi and sauce decreased.

• Korean Journal of Organic Agriculture
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• v.10 no.3
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• pp.25-39
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• 2002

This paper aims to provide quite recent information on the organic industry in the U.S. Major focuses are on the development of cultivation and marketing of fresh and processed organic produce and foods, newly enforced certification program, consumers' purchasing behaviors toward organic foods, and social survey results administered to the organic farmers in the U.S. The U.S. recorded 8 billion dollars' sale of organic foods in 2000, which was the largest in the world and showed 23% growth compared to the previous year. Yet the organic industry is still a niche market, occupying merely 1.5% of total food sale amount. The natural foods markets have not been so concentrated in the U.S., but it is changing and a few wholesale mart such as Whole Foods is emerging. Recent introduction of new certification program provide unified and sole standard at the federal level to which every certifier needs to adjust itself in order to be acceredited by the government. According to a social survey, consumers purchase organic foods because they concern about health, they stick to their own modes of life favoring natural foods, and so on. Another social survey shows that most organic farmers sell their produces to wholesalers, distributers, or producer coop, and direct sale to visitors at their own farm comprises of about 8 percent of their organic land.

• Journal of the Korea Society of Computer and Information
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• v.4 no.1
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• pp.99-113
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• 1999

The Korean distribution market is now faced with various difficult problems. for instance, the withering of domestic demand by effect of IMF support system, the competitive foreign enterprise's entry into domestic distribution market by opening of its market, and the diversity and unexpected change of consumers' needs. Through the comparative study with Japanese distribution industry, we could find out the outline of information strategy that Korean wholesalers and retailers can solve such problems and stand at competitive advantage in Korean distribution market. We use information system in order to get data for consumers' needs quick and diversely. analyze those accurately, and put those into merchandising. So we have to work out the information strategy in line with the three-point principle, such as the integration or linking of information systems, the sustaining improvement and development of information systems, and the sharing of information.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.185-188
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• 2000

Dongdaemoon clothes market can make traditional commerce to improve problems which happen to traditional commerce and satisfy between customers and salers through combination among Electronic Commerce which is growing up in 21 centuries place innovation This thesis is focusing on suggesting strategies which practice to let Dongdaemoon clothes market customers and wholesalers, retailers to use Electronic Commerce as strategic skills by analyzing core successful factors for adopting Electronic Commerce in Dongdaemoon clothes market. Adopting Electronic Commerce in Dongdaemoon clothes market when the customer make a reservation and the salers provide the customer with discounting service, the customer was willing to but it. Internet service categories which affect customer's satisfaction are providing lots of product information. This thesis shows providing information made the customer to increase customers's satisfaction degree and buying intention. Also convenience of product research, and reliability in transaction process can enable the customer to increase transaction reliability. These factors are very important in Electronic Commerce. In addition, factors which show customer's suggestion and inconvenience by using best seller information and discounting service board when they buy some items in Dongdaemoon clothes market affect the customer satisfaction degree and satisfaction degree of providing information. However, this thesis is analyzed that reliability of transaction process doesn't affect all successful factors such as product quality, size, online payment system, price reliability.

• Health Policy and Management
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• v.30 no.3
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• pp.409-417
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• 2020

Background: It is well known that the distribution of therapeutic materials is very complex. However, it is not easy to demonstrate the concrete problems caused by distribution channels empirically. The purpose of this study was to investigate the differences in the price of therapeutic materials according to the type of purchasing agency and the way in which medical institutions purchase therapeutic materials. Methods: This study compared the claimed prices and the maximum allowable prices for the items of therapeutic material used for general spinal surgery. Results: Ilsan Hospital, which purchased directly without a purchasing agent, had the lowest claimed prices, followed by a large professional purchasing agency, a foundation-related purchasing agency, and a general purchasing agency. In addition, the difference between the claimed prices and the maximum allowable prices according to the purchase type was larger in the expensive treatment materials, and in the case of the lower price treatment materials, it tended to converge to the maximum allowable prices. Conclusion: National health insurance spending for therapeutic materials are to be affected by the distribution channels of them. We proposed several ideas to rationalize the expenditure such as classification of therapeutic materials on the basis of price or other criteria.