• 제목/요약/키워드: policy decision-making structure

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

  • 홍경준;송호근
    • 한국사회복지학
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    • 제57권4호
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    • pp.5-33
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    • 2005
  • 이 연구의 목적은 문민 정부와 국민의 정부 시기의 한국 사회복지정책 결정구조를 비교함으로써, 1990년대 후반 이후 발생한 한국 사회복지정책의 변화원인을 탐구하는 것이다. 사회복지정책 결정구조를 비교하기 위해 이 연구는 정책 연결망 분석방법을 활용하였다. 정책 연결망 분석은 정책 결정과정에 참여하는 행위자들 사이의 관계 구조를 파악할 수 있게 함으로써, 쉽게 관찰하기 어려운 정책 결정 구조의 특성을 파악하는데 유용하다. 6개의 정책영역과 그에 속하는 52개의 정책사건에 대한 정책 연결망 분석 결과 문민 정부의 정책 결정 구조에서 주변적인 위치에 있던 시민사회가 국민의 정부 시기 동안에는 정책 결정 구조의 중심에 진입하였음을 발견하였다. 반면에 문민 정부의 사회복지 정책 결정 구조에서 비토 지점으로 역할해 온 경제관련 부처들은 국민의 정부 시기 동안 그에 상응하는 역할을 수행하지 못했던 것으로 나타났다. 결론적으로, 두 정부 시기의 정책 결정 구조에는 상당한 차이가 존재함을 알 수 있었고, 1990년대 후반 이후 발생한 한국 사회복지정책의 변화는 이러한 정책 결정 구조의 변화양상과 밀접한 관련이 있는 것으로 생각된다.

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건강보험정책심의위원회 가입자 단체의 의사결정 참여에 영향을 미치는 요인 (Factors Affecting the Insured Organizations Participation in Decision Making Process in Health Insurance Policy Committee)

  • 한주성;김창엽
    • 보건행정학회지
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    • 제27권4호
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    • pp.336-346
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    • 2017
  • Background: Due to the asymmetry of information and knowledge and the power of bureaucrats and medical professionals, it is not easy for citizens to participate in health care policy making. This study analyzes the case of the insured organization participating in the Health Insurance Policy Committee (HIPC) and provides a basis for discussing methods and conditions for better public participation. Methods: Qualitative analysis was conducted using the in-depth interviews with the participants and document data such as materials for HIPC meetings. Semi-structured interviews were conducted with purposively sampled six participants from organizations representing the insured in HIPC. The meanings related to the factors affecting participation were found and categorized into major categories. Results: The main factors affecting participating in the decision making process were trust and cooperation among the participants, structure and procedure of governance, representation and expertise of participants, and contents of issues. Due to limited cooperation, participants lacked influence in important decisions. There was an imbalance in power due to unreasonable procedures and criteria for governance. As the materials for meetings were provided inappropriate manner, it was difficult for participants to understand the contents and comments on the meeting. Due to weak accountability structure, opinions from external stakeholders have not been well received. The participation was made depending on the expertise of individual members. The degree of influence was different depending on the contents of the issues. Conclusion: In order to meet the values of democracy and realize the participation that the insured can demonstrate influence, it is necessary to have a fair and reasonable procedure and a sufficient learning environment. More deliberative structure which reflects citizen's public perspective is required, rather than current negotiating structure of HIPC.

IT 거버넌스 복잡성 평가를 위한 퍼지 모델 (A Fuzzy Model for Assessing IT Governance Complexity)

  • 이상현;이상준;문경일;조성의
    • 디지털융복합연구
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    • 제7권4호
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    • pp.169-180
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    • 2009
  • IT governance implies a system in which all stakeholders with a given organization, including the board, internal customers, and related areas such as finance provide the necessary input into their decision-making process. However, the concepts of IT governance are broad and ambiguous, so IT governance is eventually needed multi-criteria decision making. This paper presents a hierarchical structure to better understand the relationship between control structure and the complexity of collective behavior with respect to IT governance and proposes a corresponding fuzzy model for analyzing IT governance complexity based on an extensive literature review. The results of this study are expected to provide a clearer understanding of how the concerns of IT governance behave and how they interact and form the collective behavior of the entire system.

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결혼 과정에 대한 의사결정 유형에 영향을 미치는 요인 탐색 (Family Decision-Making Process of wedding Process)

  • 장주영;옥선화
    • 대한가정학회지
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    • 제46권4호
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    • pp.1-13
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    • 2008
  • The purpose of this study is to identify variables that influence the family decision-making process when planning a wedding. In this case the planning refers to: the procedure of the wedding: yedan, which means presents for parents and relatives: and yemul, which means wedding gifts. Decision-making was categorized into four types: decisions led by the bride and groom, decisions led by the groom's parents, decisions led by the bride's parents, and co-decisions by the two families. Resource theory was used as a conceptual framework. Data for this study were collected from 305 adults who got married after 1977 and lived in Seoul. Multinomial logistic regression models were used to analyze the data. Variables determining the decision-making of wedding procedure were the groom's age at marriage, the level of familism, and the major source for the wedding expenses. When it came to decisions on yedan, gender, the bride's year of education, and the major source for wedding expenses had significant influence on the decision-making. Variables that affected decision-making on yemul were the bride's year of education, and the major source for wedding expenses. This study suggested the power structure among bride, groom, and their parents through variables which exert influence on family decision-making.

Using Real Options Pricing to Value Public R&D Investment in the Deep Seabed Manganese Nodule Project

  • Choi, Hyo-Yeon;Kwak, Seung-Jun;Yoo, Seung-Hoon
    • Asian Journal of Innovation and Policy
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    • 제5권2호
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    • pp.197-207
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    • 2016
  • This paper seeks to measure the monetary value of technical development in the deep seabed manganese nodule mining by applying the compound option model (COM). The COM is appropriate for the project in terms of its decision-making structure and embedded uncertainty. The estimation results show that the deep seabed mining project has more economic potential than shown by the previously obtained results from the discounted cash flow (DCF) analysis. In addition, it is reasonable to invest in the project taking the various uncertainty factors into consideration, because the ratio of the value to the cost of the project is far higher than one. This information can be utilized in national ocean policy decision-making.

Multi-dimensional Contextual Conditions-driven Mutually Exclusive Learning for Explainable AI in Decision-Making

  • Hyun Jung Lee
    • 인터넷정보학회논문지
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    • 제25권4호
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    • pp.7-21
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    • 2024
  • There are various machine learning techniques such as Reinforcement Learning, Deep Learning, Neural Network Learning, and so on. In recent, Large Language Models (LLMs) are popularly used for Generative AI based on Reinforcement Learning. It makes decisions with the most optimal rewards through the fine tuning process in a particular situation. Unfortunately, LLMs can not provide any explanation for how they reach the goal because the training is based on learning of black-box AI. Reinforcement Learning as black-box AI is based on graph-evolving structure for deriving enhanced solution through adjustment by human feedback or reinforced data. In this research, for mutually exclusive decision-making, Mutually Exclusive Learning (MEL) is proposed to provide explanations of the chosen goals that are achieved by a decision on both ends with specified conditions. In MEL, decision-making process is based on the tree-based structure that can provide processes of pruning branches that are used as explanations of how to achieve the goals. The goal can be reached by trade-off among mutually exclusive alternatives according to the specific contextual conditions. Therefore, the tree-based structure is adopted to provide feasible solutions with the explanations based on the pruning branches. The sequence of pruning processes can be used to provide the explanations of the inferences and ways to reach the goals, as Explainable AI (XAI). The learning process is based on the pruning branches according to the multi-dimensional contextual conditions. To deep-dive the search, they are composed of time window to determine the temporal perspective, depth of phases for lookahead and decision criteria to prune branches. The goal depends on the policy of the pruning branches, which can be dynamically changed by configured situation with the specific multi-dimensional contextual conditions at a particular moment. The explanation is represented by the chosen episode among the decision alternatives according to configured situations. In this research, MEL adopts the tree-based learning model to provide explanation for the goal derived with specific conditions. Therefore, as an example of mutually exclusive problems, employment process is proposed to demonstrate the decision-making process of how to reach the goal and explanation by the pruning branches. Finally, further study is discussed to verify the effectiveness of MEL with experiments.

품질비용 개선을 위한 의사결정 프로세스 연구 : C&C 제품 실패비용 사례 분석 (A Decision Making Process for Improving Quality Cost : A Case Study of C&C Product Failure Cost)

  • 이동한;채화성
    • 산업경영시스템학회지
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    • 제33권2호
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    • pp.162-169
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    • 2010
  • This paper analyzes the difference between theoretical cost of quality and real world cost. Examined are the theoretical cost structure of quality, it's measurement styles, a process based improvement strategy of quality cost, and possible adaptation of decision making concepts in enhancing the cost structure. This study will contribute to the literature in delineating an improvement process of quality cost by adjusting service policy.

Collaborative and Participatory Model for Urban Forest Management: Case study of Daejisan in Korea

  • Kim, Jae Hyun;Park, Mi Sun;Tae, Yoo Lee
    • 한국산림과학회지
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    • 제95권2호
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    • pp.149-154
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    • 2006
  • Citizen's involvement in forest decision-making is recently acknowledged as a potential solution to forest management conflicts. Through participation, affected citizens become a part of the decision-making process. This paper focuses on the use of collaborative and participatory model(CPM) for urban forest management. The model, which is exemplified by the Daejisan case in Yongin-si, Gyeonggi-do, Korea, utilizes the collaborative decision-making structure and the gradual level of resident participation in urban forest management. As a result, the committee in the model contributed to building partnerships among different interest groups and then to constructing environmentally compatible urban park. Furthermore, an improvement in the levels of resident participation was manifested in the process. These characteristics of CPM can encourage participation and cooperation among stakeholders and ultimately contribute to realizing sustainable urban forest management.

의사결정지원을 위한 생태계서비스의 정의와 분류 (Definition and Classification of Ecosystem Services for Decision Making)

  • 안소은
    • 환경정책연구
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    • 제12권2호
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    • pp.3-16
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    • 2013
  • 보편 일률적으로 적용가능한 생태계서비스 정의 및 분류체계는 이상적이기는 하나 현실, 특히 의사결정지원에는 한계가 있다. 본 소고는 생태계서비스 개념과 분류체계의 발전과정 검토를 통하여 문헌상의 용어를 비교 분석하고 최근 연구동향을 반영하여 생태계서비스와 편익의 개념을 재정립하였다. 또한 '정책목표에 기반을 둔 복수의 생태계서비스 정의와 분류체계가 필요하다'는 전제하에 환경계정, 환경가치추정, 자연자원관리와 같은 특정 정책목표에 따라 생태계서비스의 정의와 범위를 차별화하여 제시하였다. 특히 의사결정지원을 위해서는 정책목표 달성을 위한 최종생산물의 확인, 목록화, 역방향 경로분석(편익-서비스-기능-구조/과정)의 필요성을 제시하고 그 유용성을 예시하였다.

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소셜 네트워크 분석을 통한 유망기술 탐색에 관한 연구 : 차세대 이동통신분야를 중심으로 (Detecting Emerging Technology to Use Social Network Analysis : Focusing on Mobile Telecommunication)

  • 이우형;석영철;박준철
    • 한국정보시스템학회지:정보시스템연구
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    • 제21권4호
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    • pp.109-132
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    • 2012
  • Social Network Analysis is an increasingly important part of a broader 'toolbox' of evaluation methods available to R&D policymakers to support decision-making. The aim of this research is to be an accessible, 'beginner's guide' to social network theory and application in the area of mobile telecommunication research and development (R&D) decision-making. This research suggests the methodology of investigation into new technology, and the methodology suggested by this research is believed to be a meaningful first step toward the establishment of the information analysis structure, which is in desperate need.