• Title/Summary/Keyword: Policy decision

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A Study on the Decision-Making Process of the Occupational Safety & Health Policy (우리나라의 산업안전보건 정책수립 개선방안에 관한 연구)

  • 안홍섭;고성석
    • Journal of the Korean Society of Safety
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    • v.13 no.2
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    • pp.151-163
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    • 1998
  • The government policy on the occupational safety and health is the fundamental factor for the effectiveness and efficiency of the accident prevention efforts. However this point of view is comparatively neglected and most of policy in occupational safety and health has not been successful enough in Korea. Thus, this study aims to reduce the accidents at work in Korea through the improvement of the decision-making process on the occupational safety and health policy in Korea. The recommendations are derived from the comparison between the policy decision-making organization and process of Korea and those of other major countries. Capitulated recommendations are: more involvement of professional individuals in the process of policy decision-making; intensive utilization of research institutes; and more openness of the process of policy decision-making to the stakeholders ie, the representatives of employees and employers.

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An Implementation Analysis of the National Health Insurance Coverage Expansion Policy in Korea: Application of the Winter Implementation Model (건강보험 보장성 확대정책의 집행분석: Winter의 정책집행모형의 적용)

  • You, Sooyeon;Kang, Minah;Kwon, Soonman
    • 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.

Non-Decision Making as an Active Policy-making Strategy in Korea (적극적 정책결정 전략으로서의 무의사결정)

  • Choi, Seong-Rak;Park, Min-Jeong
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.458-470
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    • 2021
  • In Korea, there are many cases where policy decisions are not made even though it is a big social issue. Usually, the reasons for such delay in policy making are cases where it is delayed to go through an appropriate policy procedure, and there are cases where the consent of stakeholders is not obtained. But, this study intends to suggest that a few policy delay in Korea can be explained by intentional non-decision-making by the government. Non-decision making is being made as a strategic and active strategy of the government. In this study, the case of Lotte Shopping Mall in Sangam was analyzed from the point of view of non-decision making. As a result of analysis based on factors such as the existence of elite, purpose, policy tool, policy process, and result, it can be assumed that the policy delay of the Lotte Shopping Mall was caused by the government's active strategic decision. The government's strategic non-decision-making, which is distinct from passive administration, needs to be reviewed in various ways in the future.

A Preliminary Discussion on Policy Decision Making of AI in The Fourth Industrial Revolution (4차 산업혁명시대 인공지능 정책의사결정에 대한 탐색적 논의)

  • Seo, Hyung-Jun
    • 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.

A Study on the policy decision-making for the pilot project of herbal decoctions coverage in the National Health Insurance in 2012 (2012년 첩약 건강보험 급여화 시범사업 정책 결정에 관한 연구)

  • Hong, Minjung;Lim, Byungmook
    • Journal of Society of Preventive Korean Medicine
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    • v.24 no.2
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    • pp.83-94
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    • 2020
  • Backgrounds : To reduce the patients' economic burden of herbal decoctions use, in 2012, Korean government decided to implement the pilot project of herbal decoctions coverage in the National Health Insurance. Objectives : This study aimed to analyze the policy decision-making process for the pilot insurance project in 2012. Methods : Official documents, research papers, statistical reports, and news articles, etc. on the coverage of herbal decoctions were searched and collected. We used the Kingdon's Policy Stream Model to analyze how the policy of pilot project of herbal decoctions coverage was decided, and who were the main activists for the decision-making process. Results : Components to be included in the 'Problem stream' were the decline in the profits of Korean Medicine institutions, the contraction of the herbal decoctions use, and the fiscal surplus of National Health Insurance. In the 'Policy stream', there were several model studies for herbal decoctions coverage, and examples of herbal benefits in other social insurances. In the 'Political stream', there were the legislative initiatives by member of the National Assembly and the promotion of insurance coverage by the Association of Korean Medicine(AKOM), etc. Policy window for herbal decoctions coverage was opened by the combination of these three streams with the efforts of policy activists, such as the executives of AKOM, and policy researchers. Conclusions : The policy decision process for health insurance coverage of herbal decoctions was analyzed using Kingdon's model, and the analysis shows that the combination of political streams and entrepreneurs' competencies can be an important driving force in policy decision making.

Exploratory Analysis of AI-based Policy Decision-making Implementation

  • SunYoung SHIN
    • 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.

Analysis of Decision-making Types for ICT Policy in Elementary School (단위학교 교육정보화 정책의 의사결정 유형 분석)

  • Lee, Min-Cheol;Kim, Hong-Rae
    • 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.

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An Analysis on the Social Policy Networks A Comparison of the Kim Young-Sam Government and the Kim Dae-Jung Government (사회복지정책 결정 구조에 대한 정책 연결망 분석: 문민 정부와 국민의 정부 비교)

  • Hong, Kyung-Zoon;Song, Ho-Keun
    • 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.

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Developing the Optimal Decision-Making Process through Preventive Maintenance Policy Based on the Reliability Threshold for Leased Equipment (대여장비의 신뢰도 기반 예방보전 정책을 통한 최적 의사결정 과정 개발)

  • Bae, Kiho;Lee, Juhyun;Park, Seonghwan;Ahn, Suneung
    • 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.

Political Rationality of Natural Resources Policy - Analysis of Residents Gratification - (자연자원정책의 정치적 합리성에 관한 연구 : 주민 만족도를 적용하여)

  • Park Yong-Gil
    • Journal of Environmental Science International
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    • v.13 no.10
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    • pp.855-861
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    • 2004
  • This study analysed the influencing factors involved in deciding the policy through the analysis of procedure in the policy on the natural resources in local governments. To evaluate the political consensus of decision making in policy determination as political rationality in natural resources policy, we analyzed the degree of the satisfaction from the residents. Among the analysis factors of the satisfaction of natural resources policy, the most significant independent factors were the goal and the method of the policy, the institutional conditions and interested groups, the appropriateness of the content of decision making, supervising and controlling, cooperating relations, the effect of policy, and the consistency. From the analysis of the effect and the goal of policy, we found $70.5\%$ of residents was against the policy and only $27.8\%$ consented. Considering the appropriateness of supervising and controlling in accordance with the process of the policy decision and its execution, the influence of local governments and institutions concerned enjoying comparatively more economic benefits was strong, however, the involvement of the residents and supervising and monitoring institutions were found negligible.