• Journal of Technology Innovation
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• v.16 no.2
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• pp.167-200
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• 2008

This work firstly aims to analyse how the policy makers had been able to sort out the two policy issues, 'how did the MOST establish the inter-departmental project' and 'why did the MOST give a legal power to the private experts', in the process of policy making for Highly Advanced National(HAN) project, called G7 Project, which had been implemented for 10 years in 1990s. Then, this will discuss the policy implications available to the similar policy areas in the future. The result shows that the agenda setting of the G7 Project, one of the successful national R&D projects in Korea, had been initiated by a few leaders who had have the perspective of pioneer. In addition, this explains that private experts had more played than civil servant did in the process of policy formation, which had been backed up by the R&D plannin4g system then introduced in R&D management process for the frist time. This case study will provide policy makers with the opportunities to remind 'the necessities of the policy management by the system not actors', 'more effective management of distribution policy' and 'the better role of related experts in the policy making process'. Also, above issues will make both the practitioners and the researchers again consider how to improve the rationality and effectiveness of the policy making process in the field of science and technology.

• Health Policy and Management
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• v.18 no.2
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• pp.107-129
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• 2008

The purpose of this paper is to critically examine Korean government's efforts in policy making and implementation regarding the Korea National Health Insurance System in the past and suggest a new paradigm for future policy changes. The structural and political characteristics of the Korea National Health Insurance, where health care services are provided almost exclusively by the private providers and funding for health comes equally from public and private sources, imply persistent difficulties in the operation of the system This may partially explain why the Korean system has continually experienced conflicts among stakeholders whenever there was an attempt to change policy. In this paper, we discuss four cases to illustrate such difficulties and barriers. We propose that in order to address these challenges and reduce policy errors as well as unintended results, it is necessary to restructure policy making process from being oriented toward 'quantitative expansion' to 'qualitative maturity', from a 'linear thinking' to a 'system thinking', from taking a 'top-down' to a 'governance and participatory' decision making process.

• Informatization Policy
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• v.26 no.3
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• pp.3-35
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• 2019

In the fourth industrial revolution age, because of advance in the intelligence information technologies, the various roles of AI have attracted public attention. Starting with Google's Alphago, AI is now no longer a fantasized technology but a real one that can bring ripple effect in entire society. Already, AI has performed well in the medical service, legal service, and the private sector's business decision making. This study conducted an exploratory analysis on the possibilities and issues of AI-driven policy decision making in the public sector. The three research purposes are i) could AI make a policy decision in public sector?; ii) how different is AI-driven policy decision making compared to the existing methods of decision making?; and iii) what issues would be revealed by AI's policy decision making? AI-driven policy decision making is differentiated from the traditional ways of decision making in that the former is represented by rationality based on sufficient amount of information and alternatives, increased transparency and trust, more objective views for policy issues, and faster decision making process. However, there are several controversial issues regarding superiority of AI, ethics, accountability, changes in democracy, substitution of human labor in the public sector, and data usage problems for AI. Since the adoption of AI for policy decision making will be soon realized, it is necessary to take an integrative approach, considering both the positive and adverse effects, to minimize social impact.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.203-214
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• 2024

This study seeks to provide implications for domestic-related policies through exploratory analysis research to support AI-based policy decision-making. The following should be considered when establishing an AI-based decision-making model in Korea. First, we need to understand the impact that the use of AI will have on policy and the service sector. The positive and negative impacts of AI use need to be better understood, guided by a public value perspective, and take into account the existence of different levels of governance and interests across public policy and service sectors. Second, reliability is essential for implementing innovative AI systems. In most organizations today, comprehensive AI model frameworks to enable and operationalize trust, accountability, and transparency are often insufficient or absent, with limited access to effective guidance, key practices, or government regulations. Third, the AI system is accountable. The OECD AI Principles set out five value-based principles for responsible management of trustworthy AI: inclusive growth, sustainable development and wellbeing, human-centered values and fairness values and fairness, transparency and explainability, robustness, security and safety, and accountability. Based on this, we need to build an AI-based decision-making system in Korea, and efforts should be made to build a system that can support policies by reflecting this. The limiting factor of this study is that it is an exploratory study of existing research data, and we would like to suggest future research plans by collecting opinions from experts in related fields. The expected effect of this study is analytical research on artificial intelligence-based decision-making systems, which will contribute to policy establishment and research in related fields.

• Health Policy and Management
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• v.24 no.3
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• pp.205-218
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• 2014

Background: Most studies on the national health insurance benefit expansion policy have focused on policy tools or decision-making process. Hence there was not enough understanding on how policies are actually implemented within the specific policy context in Korea which has a national mandatory health insurance system with a dominant proportion of private providers. The main objectives of this study is to understand the implementation process of the benefit coverage expansion policy. Unlike other implementation studies, we tried to examine both the process of implementation and decision making and how they interact with each other. Methods: Interviews were conducted with the ex-members of the Health Insurance Policy Review Committee. Medical doctors who implement the policy at the 'street-level' were also interviewed. To figure out major variables and the degree of their influences, the data were analyzed with Winter's Policy Implementation Model which integrates the decision making and implementation phases. Results: As predicted by the Winter model, problems in the decision making phase, such as conflicts among the members of committee, lack of applicable causal theories application of highly symbolic activities, and limited attention of citizen to the issue are key variables that cause the 'implementation failure.' In the implementation phase, hospitals' own financial interests and practitioners' dependence on the hospitals' guidance were barriers to meeting the policy goals of providing a better coverage for patients. Patients, the target group, tend to prefer physicians who prescribe more treatment and medicine. To note, 'fixers' who can link and fill the gap between the decision-makers and implementers were not present. Conclusion: For achieving the policy goal of providing a better and more coverage to patients, the critical roles of medical providers as street-level implementers should be noted. Also decision making process of benefit package expansion policy should incorporate its influence on the implementation phase.

• Korean Journal of Social Welfare
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• v.57 no.4
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• pp.5-33
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• 2005

In order to examine the causes of the social policy changes in Korea during the late of 1990s, this study tries to compare the social policy decision-making structure between Kim Yong-Sam Government and Kim Dae-Jung Government. This study applies policy network analysis method which measures the relation and power structures of policy actors and as a result shows the characteristics of the policy making structure. Analysing the 6 policy domains and 52 policy events, this study finds that the importance and location of veto points which were created by the social policy decision processes have changed. In Korea, social policy decision processes have been produced power structures in which Ministry of Finance and Economic Planning Board have played a decisive role. In result, these executives can have controlled policy making processes and had veto power, i. e. veto points in policy decision-making structure. But, during Kim Dae-Jung government, accountability issues of financial crisis and reorganization of ministries have changed the importance and location of veto points. Pro-welfare groups of civil society got a chance to penetrate policy decision-making structure during that time. This study argues that these changes of policy decision-making structure may be associated with the social policy changes in Korea during the late of 1990s.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.01a
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• pp.281-282
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• 2015

Data, by itself, will not reveal the optimal policy choice. Nor will data alone tell us what problems to focus on or how to direct resources. It should be recognized upfront that data-driven policy making cannot provide all the answers to the challenges of good governance. Policy decisions always depend on a combination of facts, analysis, judgment, and values. In this paper, we research on factors to design an organizational policy making for Big Data.

• Journal of The Korean Association of Information Education
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• v.14 no.2
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• pp.251-259
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• 2010

According to the school autonomy plan on April 15, 2008, schools have a responsibility for ICT in education policy. Because of this plan, A guideline for governmental action for ICT education was repealed, on the contrary, responsibilities for ICT education in school level has increased. The radical exchange of education policy has a big impact on decision-making about ICT in education policy in school level. Consequently, the digital divide is generated between students, teachers and schools. So, this paper is intended as an investigation of decision-making types and awareness of teachers about ICT in education policy in elementary school. And this paper presents new ideas for decision-making of ICT policy in elementary schools.

• Journal of Applied Reliability
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• v.17 no.3
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• pp.246-255
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• 2017

Purpose: This study proposes the optimal PM (preventive maintenance) policy of leased equipment for lessee's decision-making using two types of reliability condition. Methods: We consider reliability threshold based PM model. Equipment reliability is estimated and used as condition variable. The effect of repair for maintenance is imperfect and represented by age reduction factor. Results: We provide two PM policies. Policy 1 is focused on minimized total cost. This policy guarantees reliability threshold until last maintenance action. Policy 2 focus on maintaining reliability threshold during leased period. The proposed approach provides optimal reliability threshold under number of PM. Through result, we finally construct decision-making process for lessee using reliability threshold and end of reliability. Conclusion: This study provides two PM policy for lessee's decision-making. Through numerical example, we get a result of optimal reliability threshold, number of PM, optimum alternative under lessee's reliability condition.

• Proceedings of the KSR Conference
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• 2003.05a
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• pp.286-293
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• 2003

Our Railroad has been decided to convert the system from government enterprise to privitization since 1989. But These Policy has been changed 3times. Therefore I wish to survey the proecss, which is the main factor to change the policy. Firstly, I made a hypothesis concerning the policy making process. Secondly, I described the policy process concisely. Thirdly, I analysized the policy making process. In conclusion, I suggested the rational policy process model.