• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.183-187
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• 2007

During the recent decades in democratic and industrialized countries, government policies for governing technological innovation and risks to environment and human health have undergone significant changes. The shift from a top-down legislative approach to a more inclusive and deliberative atmosphere is, putatively the most prominent change. Such a move is often described as a move from government to governance. In the governance of technology and risk, public engagement has been a major strategy in technology decision-making process. This article aims to look into the changes in the procedural modes of technology decision-making process. It discusses the main viewpoints that have been placed on the basis of such a move. Also, it further relates the changes in local decision-making process to science and technology decision-making at global level. It argues that the democratic and reflexive trends in local science and technology decision-making will be the basis upon which to shape and respond to global governance system: while international decision-making process would require accountability in integrating different values and rationalities, such accountability may be sustained and reinforced depending on the robustness of the local decisions and social choices.

• Journal of Dairy Science and Biotechnology
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• v.24 no.2
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• pp.11-20
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• 2006

Korea dairy industry has a long and chronic problems to consume raw milk , those are surplus milk and decline the market milk consumption continued about 10 years. This study was aim to propose and to find the solution for dairy industry problems. After WTO system, with the importation of dairy products, domestic milk production has fell into the situation of excess supply and huge inventory of dried milk, the milk powder stocks have increased since 2002. That made a chronic decline milk consumption in Korea. The core of chronic problem of Korea dairy industry is the decreasing in market milk consumption. If they have a settlement of any other way using their raw milk to process and consumption to market milk, there will be a solution to solve the chronic problems in this situation. Especially, that will be a development of small farm scale natural cheese production and consume. This may be lead a situation of increase the raw milk consumption, because natural cheese making needs much of raw milk more than market milk. But there are very low technical level of farmers cheese making status, so they need a cheese making educational program for their commercial level of cheese products. Under these situation, there are needed a way out of educational system for the dairy farmers to obtain the high level of cheese making technology from the trustable and scientific organization. The natural cheese making technique of dairy farmers should be accumulated to get the consumers' solid recognition of high quality of natural cheese as LOHAS(Lifestyle Of Health And Sustainability) foods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.6
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• pp.841-848
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• 2021

The purpose of this study was to explore what factors influenced users using smartphones in their decision making. In this study, intimacy/personal connectivity, use/dependence, familiarity/professionalism, efficacy/effectiveness, self-identity, control, etc. were set as independent variables and decision-making as dependent variables. In this study, 200 smartphone users were collected and analyzed through a questionnaire, and a nonlinear analysis method using WarpPLS software was utilized to identify the effects between variables. As a result, this study confirmed that factors in smart phone ownership (SPO) could affect individual decision-making and identify that users' psychological factors in the use of smart devices would be directly related to the outcome of decision-making. Through this, it is possible to understand the development of future industries and the acceptability of users using smart devices. and will be meaningful research in tourism, new product development, or continuous brand development.

• Journal of The Korean Association For Science Education
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• v.21 no.3
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• pp.547-557
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• 2001

In this study, we compared the contents of cloud making experiments in middle school science textbooks of 5th and 6th science curriculum from the viewpoint of methods and apparatus. And we analyzed the problems of the experimental methods and apparatus based on the thermodynamic theories. A new experiment was developed to solve the problems, and the effects of new experiment were compared with those of the experiments in the textbooks.

• Journal of the Korean Data and Information Science Society
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• v.16 no.2
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• pp.263-270
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• 2005

The reliability guarantee insurance policy for parts and materials was introduced to the market in 2003. This policy indemnifies manufactures for the repair/failure costs, recall expenses. In this paper, owing to the nature of the policy, we propose a new rate-making system considering the type of product and industry, quality control circumstances, record of guarantee performance, and exposures.

• Journal of Fashion Business
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• v.8 no.4
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• pp.80-93
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• 2004

The purpose of this study is to recognize about lingerie company's education and pattern-making actual conditions. This study used a questionnaire method. Respondent of survey is designers who work in exist lingerie company. The collected data were statistically processed using SPSS(Statistical Package for Social Science) for technical statistical analysis, correlation analysis. The results of this study can be summarized as follows; 1. Most of lingerie designers educated lingerie design, pattern and textiles etc. after entering a company and satisfaction 57.3% about education has satisfaction of intergrade. 2. Designer's 87.8% has satisfaction more than intergrade about own pattern-making technology and work career is high, satisfaction about pattern-making technology is high. 3. Correlation was expose that is in lingerie education availability and optimum level arrival period of pattern-making ability before entering a company. In case take lingerie education before entering a comany, thought that optimum level arrival period of pattern-making ability is shorter. 4. Most of lingerie company designers used flat pattern-making method and draping method. 5. There is correlation between work career and using the basic pattern. Work career was expose that make and use only own basic pattern in case is more than 3 years. 6. Contents about deepening pattern-making technology are most by 92.2% to contents of lingerie reeducation.

• Journal of the Korea Safety Management & Science
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• v.6 no.2
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• pp.177-186
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• 2004

Decision analysis has becomes an important technique for decision making in the face of uncertainty. It is characterized by enumerating all the available courses of action, identifying the payoffs for all possible outcomes, and quantifying the subjective probabilities for the all possible random events. When the data are available, decision analysis becomes a powerful tool for determining an optimal course of action. We study the multi-attribute decision making in a compensatory models. In this paper, we use the entropy methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.

• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.2
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• pp.103-129
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• 1998

Corporate level decision making with multiple decision makers in a consistent way is essential in Decision Support System. However, since the decision makers have different interests and knowledge, the models used by them are also different in their level of abstraction. This makes decision makers waste a lot of efforts for an integrated decision making. The purpose of this paper is to propose an integration mechanism so that collaborative decision making models may be used synthetically in multi-abstraction level. Models are classified as multimedia model, mathematical model, qualitative model, causal ＆ directional model, causal model, directional model and relationship model according to the level of abstraction. The proposed integration mechanism consists of model interpretation phase. model transformation phase, and model integration phase. Specifically, the model transformation Phase is divided into (1) model tightening mode which gather information to make a model transformed into upper level model, and (2) model relaxing mode which makes lower level model. In the model integration phase, models of same level are to be integrated schematically. An illustrative M＆A-decision example is given to show the possibility of the methodology.

• Management Science and Financial Engineering
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• v.7 no.2
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• pp.31-57
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• 2001

Regarding all methods of decision making as parts of the same subject, one is astounded to find that the field speaks to the practitioners about multicriteria decision making with a multi-forked tongue, different methods give different and conflicting outcomes even for very simple decisions. In this paper, five well-known decision theories are described and used to work out a simple decision to choose the best of three cars. The outcomes turn out not to be the same for all the methods, which is troubling because one would expect unique answers in decision making. Several "meta" criteria that are essential for making a decision theory to make a choice as to which decision approach is best.h is best.

• Management Science and Financial Engineering
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• v.13 no.2
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• pp.1-27
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• 2007

This paper presents a fuzzy-goal programming(FGP) approach for Bi-Level Linear Multiple Objective Decision Making(BLL-MODM) problem in a large hierarchical decision making and planning organization. The proposed approach combines the attractive features of both fuzzy set theory and goal programming(GP) for MODM problem. The GP problem has been developed by fixing the weights and aspiration levels for generating pareto-optimal(satisfactory) solution at each level for BLL-MODM problem. The higher level decision maker(HLDM) provides the preferred values of decision vector under his control and bounds of his objective function to direct the lower level decision maker(LLDM) to search for his solution in the right direction. Illustrative numerical example is provided to demonstrate the proposed approach.