• The Journal of Society for e-Business Studies
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• v.19 no.3
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• pp.143-158
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• 2014

Making decisions on prices must be an important task for sellers to stay competitive in on-line markets. Because the emergence of price-comparison web sites led buyers to be more sensitive to the prices, adjusting prices became very important to on-line sellers. This study collected and analyzed the data of prices on computing peripheral devices posted at a popular web site that enabled buyers to compare the prices on the same products. By analyzing the timings of price adjustments among different sellers using Monte Carlo simulation, we explored the possibility of price coordinations among those sellers. The results indicated that online sellers adjusted their prices on a daily basis rather than a weekly basis and the tacit coordination on the price changes was identified.

• Journal of Industrial Convergence
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• v.20 no.12
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• pp.179-186
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• 2022

This study aims to develop a predictive model to suggest a used sales price to sellers and buyers when trading used tablet PCs. For model development, we analyzed the real used tablet PC transaction data and additionally collected detailed product information. We developed several predictive models and selected the best predictive model among them. Specifically, we considered a multiple linear regression model using the used sales price as a dependent variable and other variables in the integrated data as independent variables, a multiple linear regression model including interactions, and the models from stepwise variable selection in each model. The model with the best predictive performance was finally selected through cross-validation. Through this study, we can predict the sales price of used tablet PCs and suggest appropriate used sales prices to sellers and buyers.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.363-366
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• 2006

최근 전자 상거래가 증가하면서 인터넷 경매를 통하여 물품을 거래하는 경우가 확산되고 있다. 하나 기존 인터넷 경매 시스템들은 경매 물품의 경매 가격을 판매자의 결정에만 의존하고 있어서, 판매자가 물품의 경매 시작가격, 낙찰 예상가격, 즉시 구매가격 등을 정하는데 어려움을 가지고 있었다. 이를 해결하기 위하여 과거의 경매 기록을 데이터베이스로 구축하여 이를 통하여 판매자에게 경매 가격을 제시하는 방법이 제시되었다. 그러나 여기서는 경매 물품에 따라서 경매 가격에 중요한 영향을 미치는 속성 정보와 가중치 부여에 대한 기준이 제시되지 못하여 잘못된 정보 제공으로 경매 물품의 가격이 지나치게 낮게 결정되거나 높아서 유찰되는 경우가 발생한다. 본 논문에서는 이러한 문제점을 해결하고자, 과거의 경매 기록과 인터넷 전자상거래 사이트의 가격 정보로부터 경매 가격 결정 요인과 가중치를 추출하여, 사례 구조화 과정을 통하여 사례베이스로 구축하고, 이를 적용하여 적합한 경매 가격을 자동으로 생성하여 이를 판매자에게 추천하는 시스템을 구현한다.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.445-456
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• 2021

The purpose of this study is to identify the importance of variables affecting women's golf wear sales with macroeconomic variables and consumer selling prices that affect consumers' purchasing behavior, and to propose a price strategy to increase sales of golf wear. Data of domestic women's golf wear brands were analyzed using decision tree algorithms and ensemble. Consumer selling price is the most significant factors in terms of sales volume for T-shirt, pants and knit, while categories were found to be the most important factors in addition to consumer sales prices for skirt and one piece dress. These findings suggest that items have different economic variables that affect consumers' purchasing behavior, suggesting that sales and profits can be maximized through appropriate price strategies.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.147-150
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• 2014

본 연구는 글로벌 인터넷 시장의 구매자와 판매자의 장단기 전략에서 가격을 기준으로 가장 합리적인 결정 방법을 알아보고 이를 통해 보다 가격 기준의 만족도 높은 거래를 성사시켜 구매자 및 판매자 모두에게 이득이 될 수 있는 프로세스를 제안한다. 제안된 프로세스는 구매자는 낮은 가격으로, 판매자는 높은 가격으로 물품의 거래가 성사된다면 가장 만족도가 높다는 가설을 세우고 이를 검증할 수 있도록 기존 시장을 구성하는 다양한 판매 방법들을 분석하여 본 연구에서 제시 하는 프로세스와의 장단점을 비교하고 본 연구를 통해 합리적 가격이 결정되는 방법 및 프로세스를 제한한다.

• Asia Marketing Journal
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• v.10 no.1
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• pp.65-94
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• 2008

This study examines the generalizability of the existing research in an on-line auction situation which suggests that there exist a gap between buyer's willing-to-pay price(WTP) and seller's willing-to-sell price(WTS) about the same product due to the endowment effect and consumers' loss aversion propensity. At the same time, this study also identifies and examines the potential moderating factors for the effect such as product type and consumer's goal orientation based on existing theories about consumers' gain-loss heuristics. The results show that WTS is consistently higher than WTP, and that such gap gets more pronounced when the target product is hedonic vs. utilitarian and when consumers have prevention goals vs. promotion goals. Lastly, limitations and managerial implications of this study is discussed.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.257-262
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• 2023

As part of their marketing policy, some suppliers allow retailers a period of credit in anticipation of increasing demand for the products they supply. The opportunity to defer payments on products through credit transactions has the effect of reducing retailers' inventory investment costs, and as a result, retailers determine selling prices in anticipation of increased demand from buyers. This study aims to analyze the inventory model that determines the retailer's selling price and EOQ(Economic Order Quantity) under the assumption that the buyer's demand is an exponentially decreasing function of the retailer's selling price in the credit transaction supply chain consisting of suppliers, retailers, and buyers. The products supplied for problem analysis include the case of deteriorating products that deteriorate over time, and the effect of the credit transaction period, the index of price elasticity and the degree of deterioration on the retailer's selling price and EOQ is analyzed.

• Journal of Distribution Science
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• v.7 no.2
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• pp.29-44
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• 2009

The aim of this study was to theoretically examine the current status of TV home shopping business entities' expansion of business structure, and then look into TV home shopping business entities' preparation for the future business in their mature period. For this, the investigator examined literature home and abroad and then empirically carried out an experimental sale of household goods by selecting a model TV home shopping business entity. In order to understand current business structure of TV home shopping and increase sales, the investigator has changed price and then induced sales, focusing on the price of household goods. Study findings are as follows: As for the influence of TV home shopping household goods' price upon its sales, because TV home shopping business entities set in advance an efficiency unit-price per broadcast hour and carry out a sales strategy of reaching out the efficiency, they try to keep their sales with discounted price in the real sales setting of TV home shopping. But it is not an exclusive practice. General promotion became a common practice. The price of goods is the same with its life. Continuous discount events lower the reliability of goods and its supplier must bear the result. Overall sales after experiment increases by 13% and the sales efficiency also increases by 9%. Sales amount increases by 9% and a stable sales which is above average is achieved. The number of sales goods keeps 100%.

• KOREAN POULTRY JOURNAL
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• v.7 no.2 s.64
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• pp.31-36
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• 1975

최근 삼계탕용 육계의 수출과 생산공급 부족으로 인해 육계 판매가격이 생산원가 이상을 상회하고는 있으나 이러한 가격은 일시적인 상승으로, 이를 기회로 무질서하고 무계획적으로 대량생산을 서두른다면 수급의 불균형으로 생산이 과잉되어 가격폭락을 가져와 스스로 피해를 보게 될 것이다. 최근의 부로일러 가격의 상승은 소비가 위축된 상태에서 공급부족으로 오는 것이니 만큼 이를 기회로 하여 대량입추를 서두른다면 다시 큰 불황을 맞을 것이다.

• Proceedings of the CALSEC Conference
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• 2005.11a
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• pp.147-153
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• 2005

When a customer wants to buy an item at the Internet shopping mall, one of the difficulties is to decide when to buy the item because its price changes over time. If the shopping mall can be able to recommend appropriate buying points, it will be greatly helpful for the customer. Therefore, in this presentation, we propose a method to recommend buying points based on the time series analysis using a database that contains past prices data of items. The procedure to provide buying points for an item is as follows. First, we search past time series patterns from the database using normalized similarity, which are similar to the current time series pattern of the item. Second, we analyze the retrieved past patterns and predict the future price pattern of the item. Third, using the future price pattern, we recommend when to buy the item.