• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.3
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• pp.299-309
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• 2016

This study proposed a logistics plan for sending supply to be distributed to areas other than producing areas to wholesalers and allocating supply to be distributed to areas near producing areas to local distribution center in the vicinity instead of shipping the entire quantity to wholesalers for fruits auction to increase the competitive edge of the domestic fruits and vegetables logistics market in the ear of infinite competition. A video auction-based short distance division logistics operation model was developed to enhance competitiveness related to the circulation of fruits and vegetables, reduce logistics costs, and rationalize logistics by distributing the items sent to wholesalers through field auction and the shipments at local distribution center to neighboring areas through video auction connected to wholesalers real-time. The study especially came up with a logistics rationalization plan by examining and analyzing the stages and costs of transportation between producing areas and wholesalers on the circulation routes of fruits.

• Asia pacific journal of information systems
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• v.20 no.3
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• pp.33-49
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• 2010

We empirically examine the impact of online auction knowledge and category-specific knowledge on the final price of online auctions. Specifically, we question how the relationship between buying and selling experiences affects the final prices of online auctions. Related to the trust between buyers and sellers, we examine the multiple interactions between a buyer-seller pairand aim to identify how these repeated transactions influence the final price. To contrast these effects with other product related factors, we focus on so called 'common value' auctions of vintage stamps on eBay, in which the ex-post value of the product is the same among participating agents’ perceived value. Online auction of stamps provides a representative setting to examine the relationship between market experience and the auction participation behavior in the common value auction, as it provides the book value of stamp as well as price variation across individual buyers with different expertise levels. Our analysis of over 3000 stamps auctions on eBay indicates a significantly high frequency of buyer-seller (pair) interactions, thus suggesting a 'relationship view' of auctions. The work validates five hypotheses derived from the existing theory in economics, marketing, and information systems. Through the common-value auction data, we find that seller's online auction experience and category-specific experience favor sellers by increasing the final price. However, buyer's online auction experience does not affect the final price, but buyer's category-specific experience favors buyers by decreasing the final price. We find that the trust between two trading parties increases the final price.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4432-4439
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• 2012

Previous studies on art pricing mostly focused on auction data because of the limitation of non-auction market data. This study investigated on both auction and non-auction markets to see the difference in art pricing mechanisms of both markets. Especially, while prior hedonic models included only quantatative variables to predict art prices, we added a qualitative measure, artistic value of a artwork, along with the original hedonic model to develop a more comprehensive model, and tested if his change may make more precise predictions. As a result, when we did not divide our data into auction and non-auction groups, we did not find any significant difference between the original hedonic model and the new model including artistic value. However, when we separated non-auction group from auction group, we found that predicted prices in the new model showed significantly closer values to the actual prices. This study contributes to our knowledge on art pricing by showing that artistic value may have important but differential impacts on different art dealing channels.

• The Journal of Fisheries Business Administration
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• v.53 no.4
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• pp.1-13
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• 2022

The introduction of the wholesalers system is being considered from various aspects in order to improve the problems of the listed auction system of wholesale corporations. The wholesalers system is a corporation that receives designation from the creator and purchases or consigns agricultural and fishery products to wholesale or broker sales, and has the advantage of reducing the distribution stage and distribution costs. The purpose of this study is to evaluate the wholesalers system introduced to improve the problems of the listed auction system of wholesale corporations through a case study of market wholesalers handling fishery products.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.1
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• pp.85-100
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• 2009

An online marketplace, such as eBay, is an example of two-sided markets. In online marketplaces, there are transactions between sellers and buyers and direct competition effects among sellers and among buyers. Previous research on two-sided market has not handle these competition effects and mostly focused on indirect network externalities between sellers and buyers. We analyze the fee structure of an online marketplace considering direct competition effects among sellers and among buyers. We find that when fees for sellers and buyers can be imposed, an auction or fixed-pricing rule can be chosen according to the characteristics of a product traded. But when only fees for sellers can be imposed, an auction can be taken as a trading mechanism solely.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.48 no.1
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• pp.72-81
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• 2012

Using artificial neural network (ANN) technique, auction prices for common mackerel were forecasted with the daily total sale and auction price data at the Busan Cooperative Fish Market before introducing Total Allowable Catch (TAC) system, when catch data had no limit in Korea. Virtual input data produced from actual data were used to improve the accuracy of prediction and the suitable neural network was induced for the prediction. We tested 35 networks to be retained 10, and found good performance network with regression ratio of 0.904 and determination coefficient of 0.695. There were significant variations between training and verification errors in this network. Ideally, it should require more training cases to avoid over-learning, which leads to improve performance and makes the results more reliable. And the precision of prediction was improved when environmental factors including physical and biological variables were added. This network for prediction of price and catch was considered to be applicable for other fishes.

• Journal of the Korean Home Economics Association
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• v.42 no.2
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• pp.117-131
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• 2004

The purpose of this study was to examine the current situation of B2B fashion buying behavior (i.e., buying motives, product characteristics, buying processes), and to analyze the buying performance, buying problems and buying strategies. In depth, face-to-face interviews with structured questionnaire were conducted with three buyers and three vendors related to 18 buying items of C Company. Results of this research were as following:1. Buying motives were mainly reduction of buying costs, improvement of profits, and increased efficiency in buying process for retail buyers, while the selling motive was mainly improvement of market share for suppliers. Suitable items for B2B buying were basic items or bulk items. The B2B buying process included the following steps: selecting auction items, target prices, and suppliers ; setting the product specification and bidding niles; training the suppliers for preparing the auction; proceeding the auction by internet. 2. The perceived B2B benefits for buyers were profit improvement and cost reduction while those for suppliers were time saving and market share improvement. The indicated buying problems were as poor product quality, low product image, and difficulty in partnership. For B2B buying strategies, a quality management system, various auction tactics based on items, and a supplier management system were recommended.

• The Journal of Information Systems
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• v.21 no.3
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• pp.99-116
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• 2012

As a way to allocate lots of orders to many participants for vehicle allocation problem, this study has used an agent negotiation based reverse auction model. This agent negotiation provides coordination functions allowing all participants to make a profit, and accomplishing Pareto optimum solution from the viewpoint of a whole trucking cargo transportation network. In order to build a strategic cooperation relationship based on information sharing, this agent negotiation provides a coordination mechanism in which all the participants including consignors, brokerage firms, and car owners are able to attain their own profits, and also that ensure a competitive market. This study has tried to prove that the result of an agent-based negotiation is the Pareto optimal solution under the present market environment. We established a mathematical formulation for a comparison with the Integer Programming model, and analysing e-Marketplace, structure of shipping expenses and brokerage system in the trucking cargo transportation industry.

• Review of Culture and Economy
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• v.21 no.1
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• pp.85-104
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• 2018

The studies related to the price of artworks have focused on how factors that are determined on production level, such as artists and the artwork materials of the studies, affect the artwork prices. As 'Dansekhwa' is in the spotlight within local Korean art auction matket, this study would like to analyze the trend of the price changes of 'Dansekhwa' with its growing popularity among the public. We have estimated the price changes based on 4,199 auction data of 20 artists with top 20 auction prices selected by the Korean Art Price Appraisal Association, between 2005 and 2016. Also, in order to compare and analyze the price changes of the 'Dansekhwa' products, we have classified the 20 artists into groups of Dansekhwa and non-Dansekhwa. Starting from 2013, when Dansekhwa has first appeared, we applied the Difference in the Difference model(DiD) to estimate the result. As a result, the difference between two groups showed 71% of price difference due to the increase in popularity of Dansekhwa. This result proves that recognition level has an important role for increase in price of an artwork. Moreover, the fact that the formalized style of Dansekhwa has linked to the appreciation of the price means that production of information could play an essential role in growth of art market. As recognition level of Korean artists and their artworks is considerably low within the local art market, putting in the effort to increase the popularity of artworks among the public might be a helpful way to magnify the potential demand.

• Industrial Engineering and Management Systems
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• v.8 no.4
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• pp.201-212
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• 2009

This study analyzed the structure of pricing in the automobile auction market by using real trade data. We focused on the bidding behavior of bidders and the contract price of exhibits. First, we proposed a relational framework among exhibits, number of bidders, and the contract price. Next, we utilized a neural network model to estimate the number of bidders and the contract price. Subsequently, we investigated the relationship between the number of bidders and the contact price, and evaluated our method through an analysis that employed verifying data. Lastly, we listed our suggestions for bidding in auction markets.