• Journal of Preventive Medicine and Public Health
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• v.47 no.6
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• pp.298-308
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• 2014

Objectives: To assess the current public participation in-local health policy and its implications through the analysis of policy networks in health center programs. Methods: We examined the decision-making process in sub-health center installations and the implementation process in metabolic syndrome management program cases in two districts ('gu's) of Seoul. Participants of the policy network were selected by the snowballing method and completed self-administered questionnaires. Actors, the interactions among actors, and the characteristics of the network were analyzed by Netminer. Results: The results showed that the public is not yet actively participating in the local public health policy processes of decision-making and implementation. In the decision-making process, most of the network actors were in the public sector, while the private sector was a minor actor and participated in only a limited number of issues after the major decisions were made. In the implementation process, the program was led by the health center, while other actors participated passively. Conclusions: Public participation in Korean public health policy is not yet well activated. Preliminary discussions with various stakeholders, including civil society, are needed before making important local public health policy decisions. In addition, efforts to include local institutions and residents in the implementation process with the public officials are necessary to improve the situation.

• Journal of the Korean housing association
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• v.15 no.4
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• pp.45-54
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• 2004

This study systematized synthetically to use internet GIS and real estate appraisal method in computing system for the real estate decision. First, indicated the method of using GIS and databases to appraise the real estate by using the cost approach. Second, used the artificial neural network to predict the change of land prices and the artificial neural network convinced us that it indicates easily the result of land prices without complicated processes. Third, examined land prices using the artificial neural network but there is limits for the land price prediction because of difficult data gathering. also, this study may heighten information levels of the real estate field according to 21th century information level if use actively a internet, information users who should pay much moneys in existent real estate decisions may can approach easily.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2008.11a
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• pp.205-211
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• 2008

Recently, selects method of waterproofing where is suitable with method and material physical properties, construction technique, Productive technique and specifications and maintenance techniques evaluation for the same evaluation method is coming to be presented. Respects the application which select system is substantial objectively reflects a weight to evaluation item the research for is necessary. This research the evaluation which in order is effective and the decision-making to be possible about technically countermeasures for a quality security from waterproofing materials, method selection processes, clearly responsible dividing of construction and maintenance techniques. A sets weight of evaluation item for right select system, it stratify the causes which affect in priority based on AHP.

• Management Science and Financial Engineering
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• v.9 no.2
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• pp.21-45
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• 2003

Various organizational factors effect successful implementation of IT enabled business transformation. Among them, the most critical success factor is deemed to overcoming change management problem. Lots of studies have been made on implementation methodologies and business process formalizations to encourage organizational members to accept new business process changes. However, the logic of process redesign still depends on qualitative problem solving techniques mostly depending on basically human intuition such as brainstorming, cause-and-effect analysis, and so on. In this paper, we develop algorithmic procedure applicable to designing various business process changes such as process automation, business process resequencing, and more radical process integration. The framework is employed from dynamic programming approach in the literature, which is based on the decision making paradigm of organizations to abstract business processes as quantitative decision models. As such, our research can fill the gap of limited development of theory based analytic methodologies for business process design, by providing objective rationale to reach the consensus among the organizational members including senior management.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.361-371
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• 1999

This paper is concerned with designing and implementing the Internet shopping mall by using virtual reality-driven avatar and web decision support system. Traditionally, the Internet shopping mall has been designed based on the combination of several hyperlinks, images, and tents. However, this sort of approach results in a lower performance because possible customers cannot make more accurate shopping decisions. To overcome this kind of pitfalls facing the current Internet shopping malls, we propose using a combination of virtual reality and web DSS. The main virtues of our proposed approach to designing the Internet shopping mall are as follows: First, the virtual reality technique is emerging as one of alternatives guaranteeing a sense of reality for customers' part and facilitating the complex process of shopping decision makings. Especially, the avatar, which is an artificially designed man working on the Internet, can make easy and absorbing the Internet shopping-related decision making processes. Second, the web DSS approach can provide an effective decision support mechanism for customers. Especially, we design a set of intelligent agents for the proposed web DSS. Experimental results with an illustrative example showed that our proposed approach can yield a new Internet shopping mall paradigm with which customers can benefit from a high level of decision support functions.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.361-371
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• 1999

This paper is concerned with designing and implementing the Internet shopping mall by using virtual reality-driven avatar and web decision support system. Traditionally, the Internet shopping mall has been designed based on the combination of several hyperlinks, images, and texts. However, this sort of approach results in a lower performance because possible customers cannot make more accurate shopping decisions. To overcome this kind of pitfalls facing the current Internet shopping malls, we propose using a combination of virtual reality and web DSS. The main virtues of our proposed approach to designing the Internet shopping mall are as follows: First, the virtual reality technique is emerging as one of alternative guaranteeing a sense of reality for customers part and facilitating the complex process of shopping decision makings. Especially, the avatar, which is an artificially designed man working on the Internet, can make easy and absorbing the Internet shopping-related decision making processes. Second, the web DSS approach can provide an effective decision support mechanism for customers. Especially, we design a set of intelligent agents for the proposed web DSS. Experimental results with an illustrative example showed that our proposed approach can yield a new Internet shopping mall paradigm with which customers can benefit from a high level of decision support functions.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.4
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• pp.117-134
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• 2004

This study suggests a data driven optimization approach, which simulates the models of human learning processes from cognitive sciences. It shows how the human learning processes can be simulated and applied to solving combinatorial optimization problems. The main advantage of using this method is in applying it into problems, which are very difficult to simulate. 'Undecidable' problems are considered as best possible application areas for this suggested approach. The concept of an 'undecidable' problem is redefined. The learning models in human learning and decision-making related to combinatorial optimization in cognitive and neural sciences are designed, simulated, and implemented to solve an optimization problem. We call this approach 'SLO : simulated learning for optimization.' Two different versions of SLO have been designed: SLO with position & link matrix, and SLO with decomposition algorithm. The methods are tested for traveling salespersons problems to show how these approaches derive new solution empirically. The tests show that simulated learning for optimization produces new solutions with better performance empirically. Its performance, compared to other hill-climbing type methods, is relatively good.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.1
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• pp.78-84
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• 2002

This paper is a study for the computerization program of incoming and outgoing processes of a number of parts and a great amount of material for producing products in flood industry, which was required by a medium-sized company located at Cheon-An. The program consists of four databases, one main form, seventeen subforms, and eight report forms. Concretely speaking, the four databases are prepared for products, semi-products, material, and reports, and the seventeen subforms are those for current inventory, used quantity, safty stock, product specification, etc. With the program, users can be helped and save manpower, time and cost in incoming and outgoing processes of parts and material for producing products and in their real time operation and decision-making.

• Korean Journal of Cognitive Science
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• v.27 no.1
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• pp.61-99
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• 2016

This research investigated that participants' response time and recognition in the decision-making situation would vary according to either rational or emotional stimuli and analyzed how brain functions are related to each type of stimuli by means of fMRI. We tried to address the difference of cognitive processing between rational stimuli and emotional stimuli in the perspective of information processing theory. In order to achieve the research purpose above, we conducted two kinds of experiment studies. In study 1, subjects conducted decision-making task which selected which kind of information type the stimuli was after stimuli - rational stimuli or emotional stimuli - was randomly seen during experiment. During this experiment, we investigated the effect of each stimuli by measuring the duration from the onset time at which stimuli was shown to the response time at which subjects conducted decision-making. Furthermore, we compared the brain functions by finding out what kinds of brain areas were activated during the decision-making task. In study 2, subjects conducted recognition task at which subjects made a decision whether the stimuli was sees in the previous experiment or not. During the second experiment, we investigated the recognition effect by measuring the memory for each stimuli type. Moreover, we compared the cognitive processes during recognition by analyzing the differences of brain area functions. The results of two experiments above were as following. Firstly, regarding the response time as the effect of stimuli, we found that the effect of emotional stimuli was higher than that of rational stimuli. And regarding the recognition as the effect of stimuli, it was found that the effect of rational stimuli was higher than that of emotional stimuli. Secondly, the explanation about the characteristics of cognitive processes with the result of behavioral response by analyzing brain functions was as following. First of all, regarding the decision-making task which conducted for analyzing the effect of response time, the relatively high activated brain areas of rational stimuli were related with the functions of movement control or working memory, and the relatively high activated brain areas of emotional stimuli were connected with the functions of lingual processing.

• The Journal of the Korea Contents Association
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• v.18 no.9
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• pp.584-593
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• 2018

The startup, which is a common noun to start a small business, has been recently one of main targets for policymakers due to its important role for job creation and considerable potential for sustainability of an economy. However, technological entrepreneurship decreased by 5.0% p from 2013 to 2016. The revitalization of entrepreneurial investment promoted by the government is mainly supported in fruitable venture companies at grow stage or 2~3 years before IPO through venture capital firms and angel funds. It is far from an investment at start-up. It is therefore necessary to motivate private investment to be active in the private start-up sector. In addition, the start-up investment requires institutional support and government support to meet the expectations of investors about the possibility of payback and profitability of private investment invested in the founding period. As a small entrepreneur at a comparably early stage in the lifecycle of business, investments for the startup are generally made by informal investors such as family, friends and fools, and their decision making processes are relatively non-programmed compared with ones for listed corporales such as venture capital and angel fund agency. This study focuses on analyzing decision making factors in investment, and verifying an impact of such factors, specifically the possibility of investment payback and investment profitability, in a decision-making process for the startup especially at the very early stage.