• Journal of Environmental Policy
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• v.7 no.4
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• pp.57-73
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• 2008

This short paper considers the situation where an environmental policy could play a source of an exogenous background risk at an individual's wealth and analyzes the effect of such a background risk on the individual's decision making in a simple chance-improving model. Our analysis shows that risks at initial wealth generated by an environmental policy could be regarded as an exogenous background risk in many cases and that such a risk makes a risk averse person behave more risk aversely in some restricted decision making situations. A policy maker considering an environmental policy which would affect individuals' initial wealth should take into account that the environmental policy could affect an individual's seemingly irrelevant economics decisions via his or her wealth.

• 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.

• 한국공간정보시스템학회:학술대회논문집
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• 2005.05a
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• pp.383-386
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• 2005

GIS는 공간문제에 대한 분석 도구로서 발전해 왔다. 근래에 이르러서는 이러한 공간분석의 기능 뿐 아니라 사회 전반의 문제들과 복합적으로 발생하는 문제들에 대한 해결방법으로 제시되고 있다. 그 해결방법으로 제시된 것이 공간의사결정지원시스템이라고 할 수 있다. 공간의사결정지원시스템은 정책결정자들의 의사결정에 도움을 주기 위한 시스템으로 개발 발전되어 왔다. 따라서 그 정책의 당사자이자 소비자인 주민들의 의견에 대한 반영은 미흡한 부분이 있다. 정보통신기술의 발달과 함께 주민참여의 환경이 조성되고, 전자정부 시대를 맞아 주민참여가 내포하는 의미 또한 증가하고 있다. 이에 본 연구에서는 보다 효과적이고 투명한 공간의사결정을 하기 위하여 공간의사결정지원시스템(SDSS)에 주민참여의 개념을 추가하여 주민의 의견을 반영하는 공간의사결정시스템의 모델을 제시하고자 하였다.

• 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.

• Informatization Policy
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• v.27 no.4
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• pp.47-66
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• 2020

The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

• Journal of Environmental Policy
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• v.11 no.3
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• pp.3-24
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• 2012

Many ecosystems in Korea are currently managed by government organizations. Thus, public managers' decision-making has great influence on the management of ecosystems in Korea, and their decision-making could influence the matter of whether the ecosystems of Korea are managed effectively. This paper regards the goal of management of ecosystems as securing the sustainablilty of target ecosystems, and investigates public managers' decision-making and their psychological attitude on the management of ecosystems. Basically, managerial activities on ecosystems have uncertainties and usually public managers utilize the knowledge of law, science, intergovernmental relations, and local governance as their references for decision-making. To elucidate public managers' managerial decision-making on ecosystems, this paper adopts some psychological theories in explaining the judgment of human beings under uncertainties. Effective ecosystem management by public managers can be judged by how public managers adopt and utilize all of the above mentioned four kinds of knowledge on ecosystem management. An important factor in order to let them utilize the four kinds of knowledge is policy support. Therefore, as conclusion, this paper recommends some relevant policy measures that can support the ecosystem management of public managers.

• 한국벤처창업학회:학술대회논문집
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• 2023.04a
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• pp.149-156
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• 2023

임팩트 투자(impact investment)는 사회적 가치와 재무적 이익을 동시에 추구하는 소셜벤처에 투자하는 행위이다. 그동안 국내에서는 정부 주도로 임팩트 투자 생태계가 조성되고 성장하였다. 선순환 투자 생태계를 위해서는 소셜벤처가 가지는 사회혁신의 가치와 임팩트 투자의 연계가 중요하다. 사회적 형평과 시장의 효율의 두 가치 중심으로 수요와 공급이 맞는 임팩트 투자에 대한 이해가 필수적이다. 특히, 임팩트 투자 지원정책과 투자가 공공에서 민간으로 확대되는 시점에서 임팩트 투자의사 결정요인을 규명하는 차별화된 접근이 필요하다. 이에 본 연구는 임팩트 투자의사 결정요인을 분석하고 우선순위를 도출하고자 하였다. 먼저 문헌분석을 통해 투자 결정에 영향을 미치는 요인을 확인하고 임팩트 투자 심사역을 대상으로 자문·설문조사를 수행한 뒤, 델파이 기법을 적용하여 주요 투자의사 결정요인을 도출하였다. 다음으로는 임팩트 투자 심사역 10명을 대상으로 AHP분석을 실시하여 투자의사 결정요인의 우선순위를 분석하였다. 분석 결과, 상위요인의 중요도는 시장-창업가(팀)-제품·서비스-재무의 순서로 확인되었으며, 세부요인의 중요도는 '시장의 경쟁강도 및 진입장벽-시장성장 및 확장 가능성-팀의 전문성 및 역량-신시장 창출 가능성-영업활동 및 고객관리-창업가의 신뢰성 및 진정성의 순서로 나타났다. 이러한 연구 결과는 임팩트 투자에 대한 지원정책과 투자가 공공에서 민간으로 확대되는 시점에서 고유한 투자의사 결정요인을 규명하여 투자를 희망하는 이해관계자들에게 기초 자료를 제시했다는 데 의의가 있다.

• Radioisotope journal
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• v.16 no.3
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• pp.89-95
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• 2001

방사선방호 및 방사성 폐기물 유출 및 산물에 대한 관리는 새 천년의 공공정책, 종사자교육 및 기술개발에 있어 매우 중요하다. 자유, 지탱능력, 투명성 그리고 기술로부터 오는 이익과 위험에 대한 의사결정에의 대중 참여 등에 대한 가치 남용은 새 천년의 공공 정책 의사결정 체계를 형성하게 될 것이다. 위험의 확인과 평가, 그리고 위험 관리에 대한 의사전달시 초기에 제3자를 개입시키는 것이 유용하다. 특정 환경문제를 더 넓은 공중보건과 생태계의 항목에 포함시키는 것은 모두에게 도움이 될 것이며, 또한 귀중한 자원을 가장 효과적으로 사용하기 위해 더 나은 결정을 도와줄 것이며, 과정과 결과에 대한 대중의 신뢰를 높혀줄 것이다.

• Journal of Environmental Policy
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• v.12 no.2
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• pp.3-16
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• 2013

This review paper examines various terms used for the definitions and classifications of ecosystem services, often times mixed and confused, in the literature and re-establishes the concepts of important terms, including ecosystem functions, services and benefits, to enhance communication among the stake-holders in the process of decision making. The definitions and scopes of ecosystem services are differentiated depending on the policy purposes such as environmental accounting, environmental valuation and natural resource management. The importance of identification and enumeration of final outputs associated with a particular policy is addressed. In addition, the usefulness of an alternative pathway-analysis beginning from benefits, via services and function, to process/structure of ecosystem is emphasized.

• Korean Journal of Construction Engineering and Management
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• v.4 no.3 s.15
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• pp.112-118
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• 2003

This study aims to management and environmental system is a set of a theory logic management tools and principles designed to create the administrative procedures that a company needs to integrate management and environmental concerns into its daily business practices. Integrate environmental considerations of risk reduction and wise resource management into daily business decision making that includes performance and cost. Seek management and environmental solutions that promote competitiveness environmental aspect recognize need for a commitment to continuous improvement of a it's decision making model. Provide business with tools and methodologies to make better environmental choices and understand the environmental effects of resource flows. A last of understand use of the Decision Making element principal as a guideline for evaluating and ranking approaches. The result of this study are summarized as follows; (1) setting for approach decision management select of the change environment police, (2) making improvements of developing operational controls setting targets, (3) measuring and achieving success of EMS, (4) decision making system on the Environment and Management