• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• The Korean Journal of Pesticide Science
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• v.12 no.4
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• pp.357-362
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• 2008

In order to survey the residual characteristics of pesticides and assess their safeties in the agricultural products from markets, the agricultural products were purchased from the wholesale and traditional markets in Cheongju and Jeonju and analyzed the pesticide residues in them. No pesticide residues were found in samples from Cheongju, whereas, in case of samples collected from Jeonju, 3 pesticides including chlorothalonil were detected from 5 samples such as eggplant from wholesale market and 3 pesticides including azoxystrobin were found in tomato and grape from traditional market. Pesticide residues were detected from 10.9% of the total samples and detection levels were less than their maximum residue levels. Their estimated daily intakes ranged from 0.00102 to 0.03616% of their acceptable daily intakes, representing residue levels of the pesticides detected were evaluated to be safe.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.3
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• pp.414-428
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• 1996

This study intends to ascertain the importance of store atmosphere when construcing store marketing strategies for store differentiation. And it is studied by classifying consumer groups according to clothing shopping motivations, comparing store atmosphere assessment and emotion response of preferred stores, and analyzing the influence store atmosphere has on store preference or impulsive purchase. The subject of this study are women in their twenties living in Seoul, 255 career women and 233 college students totaling 458, and model sampling is done by convenient sampling taking into account the type of their occupation and major. Modified survey based on references and former studies is used, and using SAS packages, methods. The results of data analysis are as follows. 1. Consumer groups are classified into the following four subdivisions: shopping involvement, leisure pursuit, financial, and shopping unconcern group. The stores women in twenties use most frequently for shopping are department stores, speciality stores, common market, discount stores, and wholesale markets, and significant difference are shown between consumer groups. 2. Consumer responses for store atmosphere preferences are shown significantly among groups when concerned with store preferences. 3. Images of store atmosphere as factor analyzed into environment factor, kindness factor, and decoration factor, Environment factor is most highly estimated in speciality stores, kindness factor in department stores, and decoration factor in common markets. 4. Leisure pursuit group is assessed to be most influenced by store atmosphere in store seleciton, impulsive purchase, and after-purchase shopping behavior, and impulsive purchase is shown highly in department stores and speciality stores.

• Journal of Distribution Science
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• v.8 no.1
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• pp.21-33
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• 2010

The ICT(information & communication technology) led to a dramatic change of floral distribution service, a phase of competition between wholesales and retail stores, and distribution channels in floral industry. It was expected that a role of the intermediaries in this industry would have reduced due to the improvement of transaction process by ICT. However, the ICT made to overcome a regional limit of the floral retail distribution service leading to an increase in sales and enlargement of the stores. And even it made possible to bring out another type of intermediaries such as private associations. This case study focuses on what kinds of efforts the floral wholesale distributors have made to enable a distribution process more smoothly between the wholesale distributors and retail stores through the information system, and what the failure factors in adopting the information system have been. This paper is also to examine how the wholesale distributors have changed themselves to gain dominant positions in distribution channels. As a result of the study, it was found that the intermediaries mostly failed in successfully achieving the distribution channel innovation through the information system because of several main reasons. FLOMARKET Inc. tried to innovate a distribution channel to obtain high quality goods through consolidating a wholesale distribution market in that segregated both floral joint market from free markets. after implementing the information system with consideration of the failure factors, FLOMARKET Inc. was able to minimize goods in stock and make a major purchase of various goods. In addition, it made a possible pre-ordering process and an exact calculation of purchasing goods so they could provide their products with market price in real time, which helped for the company to gain credits from their customers. Also, FLOMARKET Inc. established the information system which well suited to its business stage in order to deal with a rapidly changing distribution environment. It's so obvious that the transaction processing system of FLOMARKET Inc. definitely helped to share information among traders more seamlessly and smoothly in realtime, standardize goods, and make a transaction process clearer. Besides, the transaction information helped the wholesale distributors and retail stores to make more strategic decisions in their business because through the system they enabled to gather the marketing intelligence information more easily and convenient. If we understand that the floral distribution market is characterized by the low IT- based industry, it's worth to examine a case study proving that the information system actually increases the productivity of the transaction process in the floral industry.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.833-854
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• 2007

Output prices tend to respond faster to input price increases than to decreases. The 'rockets and feathers' hypothesis of asymmetric price behavior in petroleum market is tested by a full adjustment error correction model. Using monthly data for the period January 1977 to June 2006, evidence is found that there is a significant degree of asymmetry in the adjustment of wholesale prices to increases and to decreases in crude oil price. A similar hypothesis in regard to the exchange rate is also rejected by the data. Using weekly data over the period examined, evidence of asymmetry for gasoline, diesel and heating oil is also found in the transmission of price changes from wholesale to retail: retail prices increase more quickly in response to the wholesale price increases than to wholesale price decreases.

• Journal of Distribution Research
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• v.2 no.1
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• pp.9-34
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• 1997

The marketing environment around the Korean retail stores is becoming increasingly voltage due to the recent changes in the marketplace. These changes are not only offering business opportunities but also posing competitive threats for many retailers these days. The key to survival and growth of these retail stores lies in developing and delivering quality services. This article reports the findings of a field survey which measured customers current perceptions of six different types of stores in terms of various service dimensions. The store types examined in the study were: traditional markets, department stores, shopping centers$.$supermarkets, convenience stores, discount stores, and membership wholesale clubs. The study also makes an attempt to determine service dimensions which have significant impact on customer perceptions across different store types. By analyzing the gap between how stores are perceived and how they should be perceived, the article discusses and suggests strategic directions for each type of retail stores.

• Journal of Korean Society of Rural Planning
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• v.10 no.3 s.24
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• pp.53-58
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• 2004

In this study the effect caused by limited storage lift of agricultural products for determining shipping amount can be analyzed by $l^{st}$ order autoregressive model based on cobweb theorem. Carrying capacity and auction price of upland-grown cabbage and garlic from 2000 to 2003 in wholesale markets were used for analysis. In result regression models of cabbage can not be used in verification periods although those of garlic approximately predicted shipping amounts in verification periods. It can be inferred that it is hard to control shipping amounts depending on price fluctuation for agricultural products which have limited storage life so cultivated areas and meteorological risk should be managed for stable price.

• The Journal of Fisheries Business Administration
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• v.35 no.1
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• pp.169-191
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• 2004

This Study attempts to analysis the degrees of the efficiency of fisheries marketing channel's effectiveness, which are traditional marketing channel's effectiveness of fisheries wholesale markets and Discount Store's effectiveness such as margin, marketing performance. The study methodologies include not only a field sample survey but also a field interview. The results of this study are summarized as follows. First, at the numbers of fisheries marketing channel's margin factors, traditional marketing channel's margin factors are more than discount store's margin factors. Secondly, at the comparative study result of marketing channel margin efficiency, traditional marketing channel's prices are similar to discount store's prices. That is, consumers have bought similar retail price's seafood products through traditional marketing channels as well as discount stores cannels. Finally, however most consumers prefer discount stores to traditional retail stores because of discount store's multi-functions such as assortment of goods, freshness, exchange, refund and employee's kindness. In conclusion, the most important factor of fisheries marketing management is to realize the appropriate balance between marketing margin and consumer satisfaction.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2003.05a
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• pp.255-263
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• 2003

A multi-agent system designed to represent newly deregulated electricity markets in the USA is aimed at testing the capability of the multi-agent model to replicate the observed price behavior in the wholesale market and developing a smart business intelligence which quickly searches the optimum offer strategy responding to the change in market environments. Simulation results show that the optimum offer strategy is to withhold expensive generating units and submit relatively low offers when demand is low, regardless of firm size; the optimum offer strategy during a period of high demand is either to withhold capacity or speculate for a large firm, while it is to be a price taker a small firm: all in all, the offer pattern observed in the market is close to the optimum strategy. From the firm's perspective, the demand-side participation as well as the intense competition dramatically reduces the chance of high excess profit.

• The Journal of Fisheries Business Administration
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• v.37 no.2 s.71
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• pp.61-83
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• 2006

In Side of Supply and Demand of Fisheries Products, The Aquacultural Industry stayed in subsidized situation for the whole fishery industry of korea when it's dawned. But now a day, the Aquacultural Industry has been developed to unique industry itself, and it could be said the Hoe - korean style Sashimi or Sushi culture of korea can't exist without its aquacultural industry. So it could be said that the Aquacultural industry is not only a part of the fishery industry but also inevitable unique industry. The main objective of this paper is to analysis the present situation for production of Flatfish, distribution of Flatfish, and consumption structure of Flatfish. Especially, the production for aquacultural Flatfish in 2005 has been raised over 38 times against the production in 1990, and it takes the status as the major fish which leads the domestic aquacultural industry compare with others. The distribution of Flatfish can be divided to the domestic and export mainly. In field of its domestic distribution, Flatfish is the major item with Rockfish, and the deal of its over 90% happens in Similarity Fishery Wholesale Markets such as In-chon, Ha-nam, and Bu-san Fishery Wholesale Market not in the common distribution process of the fishery products. At present, the exporting of Flatfish take 13.9% among the whole Aquacultural Industry of korea, and Flatfish mainly export to Japan. Also, through the development of chinese economy, Hoe consumption culture is expanded gradually. And the future of exporting Flatfish is very bright because of developing of the U.S. market. The brief introduction of the consumption style of live fish is as belows. According to the research, generally the most of korean consumers prefer individual item as their food to combination style in korean Hoe consumption culture and the favorite item of korean consumers are Flatfish and Rockfish.