• Title/Summary/Keyword: Policy-making

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Division of Labour in Risk Governance: Cases of Public Deliberation for Radioactive Waste Management in the UK and Korea (기술위험 거버넌스에서의 역할분담: 영국과 한국의 방사성폐기물 관리 공론화 사례)

  • Lee, Yun Jeong
    • Journal of Technology Innovation
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    • v.24 no.4
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    • pp.159-191
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    • 2016
  • In order to deal with uncertainty and conflicting interests in technological risk policy-making, various participatory decision-making models have been practiced. This participatory approach is an alterative to the traditional process of science and technology policy-making where scientific experts provide evidence and government officials make decisions. However, there still remain different opinions on who should play what kind of role in decision-making process. Therefore this paper examines the division of labour in the public deliberations for radioactive waste management policy carried out in the UK and Korea. It discusses the ways in which various actors are defined, and the rationales are employed for allocating actors to certain roles and participatory methods. In so doing, this paper unfolds the ways in which the participatory decision-making process for risk governance is delivered in real policy context. Similarities and differences revealed in the division of labour of two cases contribute to development of radioactive waste management policy and the policy instruments for risk governance.

A study on improving the usability of records of policy management system operation (방침경영시스템 운영기록의 유용성 제고에 관한 고찰)

  • Syn, Dong-Sig;Pack, Jong-Yop;Lim, Kyung-Sik;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.11 no.1
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    • pp.213-222
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    • 2009
  • Two functions are considerable in the record management of policy management system operation. The first one is to prove that shows the conforming status of the management system requirements. The second one is to prove that shows the performing status whether the policy management system is operating effectively to the company. However, the second function requires the high level data analysis techniques, and it is more important for the decision making of the company operations. That is, the second function is more closer than the first function to the top manager's policy management tool. This paper is prepared to offer a study on the desirable record management which is necessary to the scientific decision making process. The scientific decision making requires the analysis of data derived from the reliable records. It is also aimed to enlighten the relations between the reliability of records and the adoption of the results of analysis in associated with the top manager's decision making.

Big Data Strategies for Government, Society and Policy-Making

  • LEE, Jung Wan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.475-487
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    • 2020
  • The paper aims to facilitate a discussion around how big data technologies and data from citizens can be used to help public administration, society, and policy-making to improve community's lives. This paper discusses opportunities and challenges of big data strategies for government, society, and policy-making. It employs the presentation of numerous practical examples from different parts of the world, where public-service delivery has seen transformation and where initiatives have been taken forward that have revolutionized the way governments at different levels engage with the citizens, and how governments and civil society have adopted evidence-driven policy-making through innovative and efficient use of big data analytics. The examples include the governments of the United States, China, the United Kingdom, and India, and different levels of government agencies in the public services of fraud detection, financial market analysis, healthcare and public health, government oversight, education, crime fighting, environmental protection, energy exploration, agriculture, weather forecasting, and ecosystem management. The examples also include smart cities in Korea, China, Japan, India, Canada, Singapore, the United Kingdom, and the European Union. This paper makes some recommendations about how big data strategies transform the government and public services to become more citizen-centric, responsive, accountable and transparent.

A Study on Developing Science Service of Science and Technology Policy (과학기술 정책의 과학화 서비스 개발에 관한 연구)

  • Shin, Mun-Bong;Chun, Seung-Su;WhangBo, Taeg-Keun
    • Journal of Information Technology Services
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    • v.11 no.1
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    • pp.83-92
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    • 2012
  • The development of science and technology oriented knowledge society accelerates the convergence between scientific theory and industrial technology and increases the complexity problem of social and economic sectors. These cause the difficulty of securing the reliability and objectivity of science and technology policy. These also are barriers of balanced evaluation between rational science and technology policy making, management, and policy coordination. In this regard, Advanced countries in science and technology develops policy support system and promotes the program of evidence-based SciSIP(Science of Science and Innovation policy) together. This paper introduces a new approach developing science service of science and technology policy utilizing business intelligence technology in Korea. Also, it proposes the integration method of policy knowledge base and component-based service supporting S&T policy decision-making process and introduces services case studies.

An Analysis of the Policy Making Process of Gyeonggido Cyber Library Establishment: Based on the Policy Streams Model of Kingdon (경기도사이버도서관 설립의 정책형성과정 분석: 킹던의 정책흐름모형을 중심으로)

  • Chu, Yoonmi;Kim, Giyeong
    • Journal of the Korean Society for information Management
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    • v.30 no.3
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    • pp.71-87
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    • 2013
  • In this study, we analyze the agenda setting and policy making process of the establishment of Gyeonggido Cyber Library, which has played an important role for development of public libraries in Gyeonggido since its launching, based on Kingdon's policy streams model. According to the model, policy formation is described as the result from the convergence of the three streams, such as problem, policy and politics streams. When these streams converge on a specific time point, a policy window is created so that the issues become policy agenda. At this moment, policy entrepreneurs propose their alternatives, which have been prepared already, and try to pass it through the window. We identify coupling of the streams in the policy window and the role of policy entrepreneurs in the process of agenda setting and selection of alternatives of Gyeonggido Cyber Library policy. Suggestions are provided based on the analysis for public policy formation in public libraries domain.

A Study on the Variations in the Corporatism in China: the Policy Making Process of the Chinese Car Consumer Protection (조합주의 현상의 중국적 변용 고찰: 자동차 소비자 보호 정책을 중심으로)

  • Lee, Jaeyoung
    • International Area Studies Review
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    • v.22 no.2
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    • pp.93-119
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    • 2018
  • During the period from 2004 to 2013, the China's automobile consumer protection policy-making reflected interest articulation and aggregation among consumers, manufacturers, car dealership and repair companies. In particular, consumers has succeeded in articulating their interests in spite of their dispersed situation by making the efforts to present regulation's revision agenda through the China Consumers Association. And the car dealers put the right to blame the car manufacturers for unexpected vehicle defects into the final regulation through the China Automobile Distribution Association. Finally, due to the active interest articulation of automobile companies, policy making process was delayed or policies that were expected to benefit consumers were promoted to some extend. Therefore, it can be seen that there is a limit to define state-society relations in China simply as state corporatism, and rather it is more important to understand state-society relations in China as between state corporatism and societal corporatism including bottom-up interest articulations and aggregations and policy modification activities of various private or societal organizations.

Digital Twin technology for Urban Policy Making (A Case Study of Policy Digital Twin of Sejong City) (디지털트윈 기술의 도시 정책 활용 사례 (세종시 도시행정 디지털트윈 프로젝트를 중심으로))

  • Jung, Y.J.;Cho, I.Y.;Lee, J.W.;Kim, B.H.;Lee, S.H.;Lim, C.G.;Lee, C.H.;Paik, E.H.;Jin, K.S.;Kim, Y.C.;Lee, S.M.;Choi, M.S.;KIM, T.H.;Chang, M.J.;Kim, S.O.;Kim, H.K.;Jung, S.J.;Lee, S.Y.;Ann, J.H.
    • Electronics and Telecommunications Trends
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    • v.36 no.2
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    • pp.43-55
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    • 2021
  • National and social issues are becoming increasingly common, but traditional policy-making methods are no longer effective. Therefore, evidence-based policy making is emerging as an alternative paradigm. Digital twin technology is one of the digital support tools for the new data-driven policy-making process. This study presents ongoing government experiments in the world where digital twin technology is applied to policy making and describes our experience in developing digital twin platforms in Sejong-the de facto administrative capital of South Korea.

Direction and Task of the Livable Community Making Policy (살기좋은 지역 만들기 정책의 방향과 과제)

  • Lee, Jae-Ha
    • Journal of the Korean association of regional geographers
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    • v.13 no.1
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    • pp.1-10
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    • 2007
  • Roh Moo-Hyun government promotes the livable community or region making as a new regionally balanced development policy since 2006. The livable community making is to make a local community into a beautiful, delightful(community with the amenity), and distinctive community by an initiative effort of local autonomy and people to upgrade both quality of space and life. It is appreciated widely that this policy is essential and also timely in terms of the qualitative development of Korean society. However, they must understand and utilize the geographical characteristics of community or region throughly to accomplish the livable community making successfully. This paper examines geographers's participation and contribution to direction and task of the livable community making.

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Predicting Ripple Effect Affects Difficulty of Decision-Making: The Mediating Effect of Perceived Accountability for Results of Decision-Making (파급효과 예측과 의사결정의 어려움: 의사결정 결과에 대한 책임감과 부담감의 매개효과)

  • Minjo Lee;Hyekyung Park
    • Korean Journal of Culture and Social Issue
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    • v.23 no.4
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    • pp.557-585
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    • 2017
  • In this research, it was examined whether predicting the ripple effects of events influences decision-making difficulty. In addition, it was examined whether perceived accountability for decision-making results mediates the relation above. In Study 1, participants were presented with policy decision-making vignettes and were asked to report on the ripple effects of their policy decisions as well as on the difficulty of making the decision. Consistent with the hypothesis, the bigger the expected ripple effects, the greater difficulty participants felt in making policy decisions. In Study 2, ripple effect magnitudes were experimentally manipulated such that participants were led to predict big ripple effects in one condition and relatively small ripple effects in another condition. It was investigated whether participants predicting bigger ripple effects would perceive decision-making to be more difficult than participants predicting smaller ripple effects. Whether this relation would be mediated by perceived personal accountability for the results of decision-making was also examined. Consistent with expectations, it was found that in the moral domains of Harm/care, Fairness/reciprocity, and Ingroup/loyalty, participants predicting bigger ripple effects reported more difficult decision-making than their counterparts. The relation above was mediated by perceived personal accountability for decision-making results only in the domain of Ingroup/loyalty. In combination, these results showed that bigger predicted ripple effects contributed to greater decision-making difficulty. In addition, participants felt more responsible for the results of their decisions when predicting bigger ripple effects, which led them to feel greater decision-making difficulty in the domain of Ingroup/loyalty. The implications of these results and future directions for research are discussed.