• Journal of Families and Better Life
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• v.4 no.2
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• pp.53-66
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• 1986

The prensent study was aimed to explore the reality of the low-income consumers problem by the comparison among five income classes. Specifically, this study was intended to (1) compare the levels of consumer skill, market risk, and consumer problem among the five income classes, (2) examine the relationship between consumer problem and consumer skill, and the relationship between consumer problem and market risk, and (3) search the types of consumer problems that each income class consumers might experience the most often. For this purpose, a survey was conducted using questionaire on 525 home managers in Seoul. The deta were analyzed by ANOVA and DMR test. The major findings were as follows; First, the consumer skill was the poorest in the low-income consumers. There was curvilinear relationship between consumer skill and income level. Second, the market risk was the highest in the low-income consumers. Market risk had a negative linear relationship with income level. Third, consumer problem was the most serious in the low-income consumers and was the least serious in the middle-income consumers. Fourth, the lower consumer skill and the higher market risk the consumers had, the more consumer problems they tended to experience. Finally, the low-income consumers had relatively more difficulties in door-to-door sale and inferior goods problem than the middle and the high-income consumers. On the other hand, the latter experienced relatively more difficulties in false and misleading advertising, overcharge, unfair bargain, and warrenty-repair-exchange problem than the former. Taken together, the research hypotheses were well supported in this study. It was suggested that the quality and the quantity of the low-income consumers problem were different from those of the middle-and the high-income consumers problem.

• Asian Journal of Innovation and Policy
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• v.4 no.1
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• pp.35-54
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• 2015

The purpose of this study is to compare the valuation of technology firms in the KOSPI and KOSDAQ. This study analyzed 224 market reports for KOSDAQ firms and 602 reports for KOSPI firms. We compare the two markets under 3 definitions on the accuracy of stock price forecasting. Findings are as follows: Although PER multiples is the most used method of valuation, KOSDAQ valuation more heavily relies on the method than KOSPI valuation. In stock market, the period of earnings forecasting is mostly 2-3 years. Multiples of KOSDAQ is generally higher than those of KOSPI. Even for technology firms, valuation in KOSPI mostly relies on earnings of the company, but that in KOSDAQ mostly relies on relative price. In stock price forecasting, generally overestimation prevails. Moreover, forecasting of KOSPI reports is more accurate than that of KOSDAQ reports. ROE and COE of KOSDAQ firms are generally higher than those of KOSPI firms.

• The Journal of Fisheries Business Administration
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• v.17 no.1
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• pp.107-115
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• 1986

The United States is the world's leading importer of frozen processed groundfish products, with over two thirds of total world imports. Over 90% of the U.S. groundfish demand is met by inports, while about 2 million mt of groundfish are taken from U, S. waters by joint-venture and foreign fleets. The objective of this paper is to provide descriptive information concerning the U.S. groundfish market and the potential for groundfish resources off Alaska to become a major source of supply to this market. The size of the U.S. market, U.S. imports, trade policies, and catch from U.S, waters are discussed, and a comparison is made between the potential domestic catch of groundfish off Alaska and current U.S. groundfish consumption. The total optimum yield of 2.3 million mt for flounders, cod, and pollock is about four times the round weight equivalent of U.S. imports of these species in 1984.

• 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.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.807-809
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• 2005

This paper addresses the bidding strategies of a hydro generator in an electricity market, and their effect on the electricity market in accordance with some parameters: the water volume, the demand elasticity, and the hydro unit performance. The competition of a hydro generator is formulated as a hi-level optimization problem, and the solving scheme for the equilibrium condition is proposed as a set of nonlinear simultaneous equations. The equilibrium of the oligopolistic model is evaluated by comparison with that of a perfect competition model from the viewpoint of a market power.

• Proceedings of the CALSEC Conference
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• 2001.08a
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• pp.493-501
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• 2001

B2C is not doing well in Asia and Pacific countries in comparison to U.S. and Europe. But there is misunderstanding of low growth of B2C electric commerce caused by cultural factor. Consumers in market are rational to decide their purchase according to total cost - market price and transaction cost. I examined this with data of Korea and U.S. Transaction cost in real market is less in Korea than in U.S. but that of electric commerce, it is much less in U.S. As a result, the choice of consumers in Korea is real market transaction while consumers in U.S. choose electric commerce.

• Journal of Electrical Engineering and Technology
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• v.9 no.1
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• pp.90-97
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• 2014

Nash Cournot Equilibrium (NCE) has been widely used in a competitive electricity market to analyze generation firms' strategic production quantities. Congestion on a transmission network may lead to a mixed strategy NCE. Mixed strategy is complicated to understand, difficult to compute, and hard to implement in practical market. However, Stackelberg model based equilibrium does not have any mixed strategy, even under congestion in a transmission line. A guide to understanding mixed strategy equilibrium is given by analyzing a cycling phenomenon in the players' best choices. This paper connects the concept of leader-follower in Stackelberg model with relations between generation firms on both sides of the congested line. From the viewpoint of social welfare, the surplus analysis is presented for comparison between the NCE and the Stackelberg equilibrium (SE).

• Korean Journal of Organic Agriculture
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• v.21 no.1
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• pp.33-48
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• 2013

This work is for listing, patent, reasonable valuation of environmental-friendly agricultural company. In this study, agricultural company in environmental friendly industry that consider nature, customer's wellbeing and safe would be evaluated by DCF (Discounted Cash Flow) and ROV (Real Option Value). And company in environmental-friendly industry would be checked whether it is to be related and concerned to listing in the stock market and patent acquisition with the basis of company valuation. After then agricultural company value is evaluated with the consideration of growth in environmental-friendly industry, and company valuation comparison would followed about intellectual property right. It can be assumed that value of environmental-friendly agricultural company has low relation and concern to listing of stock market, and valuation would be increased through the intellectual property right such as patent, development or core search ability.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.8
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• pp.1432-1443
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• 2001

The purpose of this study is to offer basic data to manufacture superior brassiere, by finding out wearing effect and wearing comfort after select high-functional brassiere and usual brassiere of brassiere on the market, and by analyzing the features of superior brassiere in wearing effect and comfort. The results of this research are as follows; 1) As a result of testing the wearing effect when wear a brassiere, the revision effect of high-functional brassiere was higher than that of usual one. But, from questions on general comfortable feeling. the wearing comfort of usual brassiere was higher in comparison with high-functional brassiere. In the questions for comparison and evaluation, the frequency of hard type-functional brassiere was highest. 2) As a result of examining the wearing effect and comfort of brassiere by each type, the wearing effect of high-functional brassiere was excellent. because of the difference in the size, construction, and material of brassiere, and the wearing comfort of hard type high-functional brassiere were superior relatively.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1156-1157
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• 2013

The mobile application market has been growing extensively in recent years. Currently, Apple's App Store has more than 400,000 applications and Google's Android Market has above 150,000 applications. Such growth in volumes of mobile applications has created a need to develop a recommender system that assists the users to take the right choice, when searching for a mobile application. In this paper, we study the recommendation system building tools based on collaborative filtering. Specifically, we present a study on comparison analysis of collaborative filtering in Java and R statistical software. We implement the collaborative filtering using Java's Apache Mahout and R's recommenderlab package. We evaluate both methods and describe the advantages and disadvantages of using them in order to implement collaborative filtering.