• Journal of Environmental Impact Assessment
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• v.14 no.4
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• pp.179-193
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• 2005

As the world's attention turns to sustainability and the considerations of cumulative effects, the concept of Strategic Environmental Assessment(SEA) has become more significant and urgent and increasing number of countries and international organizations now undertake some forms of SEA. The term SEA, however, is variously defined and understood; generally it means a formal process of systematic analysis of the environmental effects on development policies, plans, programmes and other proposed strategic actions. This process extends the aims and principles of EIA upstream in the decision-making process, beyond the project level in which major alternatives are still open. There is a shift toward more integrative approaches and greater use of Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA) as sustainability tools in cooperation with Environmental Management System (EMS). Currently, Korea has EIA system and Prior Environmental Review System (PERS) which is different type of SEA as Environment Assessment (EA) system. APEMI IA MODEL integrated following three pillar(refer to attached figure.1) ; First pillar symbolized decision making cycle with planning process. Second pillar symbolized integrated assessment which tying SEA and EIA with specific impacts assessment(eg: social impact assessment, economic impact assessment, health impact assessment etc) in cooperation with EMS. Third pillar symbolized EA best practical procedure of International Association for Impact Assessment(IAIA). Considering the above, we applied new conceptual model(APEMI IA MODEL) into Impact Assessment for better integrated decision-making in KOREA as an alternative IA system(IS IA MODEL A and B refer to attached figure 4, 5).

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.655-663
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• 2015

The purpose of this study is to inquiry 'instructive fairy tale story making' teaching model developed in Russia to cultivate creativity and character and to present implementation idea in Korea. Fairy tale story is one of first tasks to spread his and her creativity and latent ability, and good genre to identify and express his and her feeling and to accomplish through these experience for children. In process of this teaching model, they are able to recognize and compare good literary works, to know 'instructive fairy tale story making' algorithm and to do 'instructive fairy tale story making' personally. As a result, students' imagination, creativity and linguistic performance would be developed more through 'instructive fairy tale story making', at the same time they will examine closely and apply moral and ethical contents in daily life and internalize.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.7 no.3
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• pp.87-95
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• 2008

The purpose of this study is to provide a decision support to select an appropriate rapid prototyping(RP) machine that suits the application of a part. Selection factors include concept model, form/fit/functional model, pattern model for molding, material property, build time and part cost that greatly affect the performance of RP machines. However, the selection of a RP is not an easy decision because they are uncertain and vague. For this reason, the aim of this research is to propose hybrid multiple attribute decision making approaches to effectively evaluate RP machines. In addition, because subjective considerations are relevant to selection decision, a fuzzy logic approach is adopted. The proposed selection procedure consists of several steps. First, we identify RP machines that the users consider. After constructing the evaluation criteria, we calculate the weights of the criteria by applying the fuzzy Analytic Hierarchy Process(AHP) method. Finally, we construct the fuzzy Technique of Order Preference by Similarity to Ideal Solution(TOPSIS) method to achieve the ranking order of all machines providing the decision information for the selection of RP machines.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.189-195
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• 2014

In this paper, we conducted a study on place-free and time-free cloud computing (CC) adoption decision-making model. Panel survey data which is collected from 65 people and CART (classification and regression tree) which is one of data mining approaches are used to construct decision-making model. In this modeling, there are 2 steps: In the first step, significant questions (variables) are selected. After that, the CART decision-making model is constructed using the selected variables. In the variable selection stage, the 25 questions are reduced to 5 ones. The benefits of question reduction are quick response from respondent and reducing model-construction time.

• Management Science and Financial Engineering
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• v.10 no.1
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• pp.25-41
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• 2004

There have been many studies to build a model that can help investors construct optimal portfolio. Most of the previous models, however, are based upon the path-breaking Markowitz model (1959) which is a quantitative model. One of the most important problems with that kind of quantitative model is that, in reality, most of the investors use not only quantitative, but also qualitative information when they select their optimal portfolio. Since collecting both types of information from the markets are time consuming and expensive, making a set of target assets smaller, without suffering heavy loss in the rate of return, would attract investors. To extract only desired assets among all available assets, we need knowledge that identifies investors' preference for the risk of the assets. This study suggests two-layer decision-making rules capable of identifying an investor's risk preference and an architecture applying them to a quantitative portfolio model based on risk and expected return. Our knowledge-based portfolio system is to build an investor's preference-oriented portfolio. The empirical tests using the data from Korean capital markets show the results that our model contributes significantly to the construction of a better portfolio in the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models.

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.163-189
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• 2010

The purpose of this research is to develop a decision-making model for the calculation of the National Disaster Management System's standard prevention workforce quota. The final purpose of such model is to support in arranging a rationally sized prevention workforce for local authorities by providing information about its calculation in order to support an effective and efficient disaster management administration. In other words, it is to establish and develop a model that calculates the standard disaster prevention workforce quota for basic local governments in order to arrange realistically required prevention workforce. In calculating Korea's prevention workforce, it was found that the prevention investment expenses, number of prevention facilities, frequency of flood damage, number of disaster victims, prevention density, and national disaster recovery costs have positive influence on the dependent variable when the standard prevention workforce was set as the dependent variable. The model based on the regression analysis-which consists of dependent and independent variables-was classified into inland mountainous region, East coast region, Southwest coastal plain region to reflect regional characteristics for the calculation of the prevention workforce. We anticipate that the decision-making model for the standard prevention workforce quota will aid in arranging an objective and essential prevention workforce for Korea's basic local authorities.

• Korean System Dynamics Review
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• v.9 no.1
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• pp.57-71
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• 2008

This research paper describes a complex and vague settings in which organization makes a decision and explains a role of decision maker's learning process. The original paper, written by Cohen, March, Olsen in 1972, said that all members of organization depended on the technology taken through trials and errors, which is the 'learning' process literally. But they intended to exclude the learning process in their simulation model because their PORTRAN model couldn't replicate the learning concept. As a result, they couldn't explain how all agents of garbage can simulation model resolve the problem dynamically. To overcome this original paper's limitations, we try to rebuild a learning process simulation model using by system dynamics approach that can capture the linkage between organization leanings and agents-based decision-makings. Our learning simulation results reveal two points. First, decision maker's leanings process improves the efficiency of decision making in complex situation. Second, group learning shows a superior efficiency to an individual learning because group members share organizational memory and energy.

• Information Systems Review
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• v.16 no.2
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• pp.25-41
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• 2014

While previous studies on Crowd funding mainly focused on the plan and policy of the introduction of Crowd funding, this study classified Investment Decision Making criterion and proposed the significance of each factor, leading to results that can help investors practically. According to the analysis, (1) physical resource in business is the most important criterion to be considered as the way for investor to objectively make decisions on business model, (2) although people pay attention to the managerial capabilities of business, the creativity of business model is not being paid much attention. The result of this study can objectively determine investment decision making on business model thought a quantitative standard of judgment. Moreover, an environment should be built for healthy decision making which is based on business model instead of only product, and it is necessary to have institutional framework to enable new companies to have healthy competition with existing companies through creative business model.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.145-152
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• 2004

Many construction companies have developed many kinds of information system to integrate the information created in the phase of planning, design, procurement, construction, and maintenance of construction project. However, the previous researches for the state of applying information technologies and the efforts of the analysis of the present information system launched in domestic construction industry is very rare. There also has been short of research on the construction decision-making support theory in construction business and industry. Hence this paper would contribute in identifying the state of information technologies and the theory of decision-making support of the information system in general construction company. and suggest the characteristic model on the information system for the construction decision-making support. The model consists of the two dimensions; (1) organizational hierarchy (2) data analyzing technology. This research, especially, can be expected to initiate the discussion on framework for understanding the construction decision-making support system in construction industry. The model is nut a practical methodology, but a window that offers a new perspective un sources of information system in each construction company, and thus can provide a clue of the useful guide to construction information system development.

• Archives of design research
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• v.17 no.3
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• pp.263-272
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• 2004

As the evolution of information and communication technologies alters the communication environment at an alarming rate, the avatar has presented itself as one of new means of communication in recent years. The Internet avatar has increasingly placed as an important profit making source of the digital contents. However, studies on how users make decision for choosing the avatar are very seldom. The aim of this study is to understand user's behaviors in the decision making process for selecting the most appropriate avatar among various choices. It also aims to identify major factors and elements for developing an avatar depending on the users purposes. A set of decision-making models, accordingly purpose model and cognitive model, as well as prototype of each model have been developed. Finally, it suggested practical guidelines for designing the avatar in conjunction with purposes of use.