• 기술혁신학회지
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• 제6권2호
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• pp.159-174
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• 2003

This study reviews the emerging new model of science and technology decision making process. It examines the open source software development model and community-based innovation model in technological innovation and the active participation model of Consensus Conference and Citizen's Jury in science and technology policy decision making. It argues that the role and influence of users in innovation and policy making is becoming important in these emerging models and the existing supplier-led, bureaucratic model of science and technology decision making model is changing.

• 대한예방한의학회지
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• 제24권2호
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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.

• 대한안전경영과학회지
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• 제11권1호
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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.

• 보건행정학회지
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• 제18권2호
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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.

• 공학교육연구
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• 제21권2호
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• pp.28-38
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• 2018

This study examined the effects of entrepreneurship education on the career decision of students in the College of Engineering. The purpose of this study was to examine the perceived desirability, perceived feasibility and the career decision - making effects of career decision - making self - efficacy as subjects of entrepreneurship education. This study was carried out by using PLS 3.0 for engineering students in an university. The results of this study are summarized as follows. First, it shows that entrepreneurship education has a positive impact on perceived desirability, perceived feasibility. Second, perceived desirability and perceived feasibility have different effects on career decision making and entrepreneurship intention. Third, career decision self - efficacy affects entrepreneurship intention and career intention in career decision making. The results of this study suggest the importance of entrepreneurship education for career decision making and provide meaningful implications for educators and policy developers.

• 환경정책연구
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• 제11권3호
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• pp.3-24
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• 2012

한국의 경우 많은 생태계가 정부 조직에 의해 관리되고 있다. 그러므로 생태계 관리에 대한 공무원들의 의사결정은 한국의 생태계 관리에 큰 영향을 미치고 있으며, 그들의 의사결정에 따라 한국의 생태계가 효과적으로 관리될 수도 있고, 반면 그렇지 않을 수도 있다. 본 논문에서는 생태계 관리의 목적을 생태계의 지속성 확보라고 전제하고, 생태계 관리에 대한 공무원들의 의사결정과 그 심리에 대해 살펴본다. 생태계 관리 활동에는 기본적으로 불확실성이 수반되며, 공무원들은 관리 활동에 대한 의사결정 준거로서 법에 대한 지식, 과학에 대한 지식, 정부 간 관계에 대한 지식, 그리고 지방 거버넌스에 대한 지식을 활용한다. 본 논문은 공무원들의 의사결정을 설명하기 위해 불확실성 하 인간의 판단에 관한 심리 이론을 채택한다. 공무원들에 의한 효과적인 생태계 관리란 그들이 가지고 있는 네 가지 종류의 지식을 관리 활동에 모두 활용하는 것을 의미하고, 이를 위해서는 정부의 정책적 뒷받침이 필요하다. 본 논문의 결론에서는 효과적인 생태계 관리를 위하여 공무원들이 법, 과학, 정부 간 관계, 그리고 지방 거버넌스에 대한 지식을 적극 활용할 수 있도록 만들기 위한 정책적 제언을 제시한다.

• 대한치과보철학회지
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• 제46권6호
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• pp.610-619
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• 2008

STATEMENT OF PROBLEM: Factors affecting patients' decision-making for dental prosthetic treatment should be examined in terms of understanding improving patients' oral health. PURPOSE: The main purpose of this dissertation was to investigate patients' dental prosthetic treatment and factors affecting patients' decision-making for dental prosthesis treatment in Deagu and Gyungbook areas. MATERIAL AND METHODS: This study was based on the preliminary survey of dental patients conducted from July 1 to August 31 in 2006. A total of 700 questionnaires had been distributed and 640 were collected. 629 questionnaires were used for the statistical analysis. Descriptive and inferential statistics, such as frequencies, cross tabulation analysis, correlation analysis, logistic regression analysis, and multiple regression analysis were introduced. In the multiple regression analysis and logistic regression analysis, twenty-two independent variables were employed to explore the factors which have impacts on decision-making and satisfaction. RESULTS: The results of this dissertation are as follows: Logistic regression analysis turned out that monthly income, age, degree of expectation, marital status, and employer-insured policy of national insurance statistically increased the odds of decision-making of dental prosthesis treatment. But educational attainment decreased the odds ratio of the decision-making of dental prosthesis treatment. However, the rest independent variables do not have statistically significant impacts on the decision-making of dental prosthesis treatment CONCLUSION: Among independent variables, marital status had the most significant influence on the decision making of dental prosthesis treatment. Finally, suggestions for the future study and policy implications to improve satisfaction of the patients' dental prosthetic treatment were discussed.

• 한국정보시스템학회지:정보시스템연구
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• 제29권3호
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• pp.1-34
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• 2020

Purpose Due to the complexity of policy environment in modern society, it is accepted as common basics of policy design to mix up a variety of policy instruments aiming the multiple functions. However, under the current situation of written-down policy specification, not only the public officers but also the policy researchers cannot easily grasp such frameworks as policy portfolio. The purpose of this study is to develop "Policy Attributes Taxonomy" identifying and classifying the public programs to help making decisions for allocative efficiency with effectiveness-based information. Design/methodology/approach To figure out the main scheme and classification criteria of Policy Attributes Taxonomy which represents characteristics of public policies, previous theories and researches on policy components were explored. In addition, to test taxonomic feasibility of certain information system, a set of "Feasibility Standards" was drawn from "requirements for well-organized criteria" of eminent taxonomy literatures. Finally, current government classification system in the area of social service was tested to visualize the application of Taxonomy and Standards. Findings Program Taxonomy Schemes were set including "policy goals", "policy targets", "policy tools", "logical relation" and "delivery system". Each program and project could be condensed into these attributes, making their design more easily distinguishable. Policy portfolio could be readily made out by extracting certain characteristics according to this scheme. Moreover, this taxonomy could be used for rearrangement of present "Program Budget System" or estimation of "Basic Income".

• 정보화정책
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• 제27권4호
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• pp.47-66
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• 2020

머신러닝과 딥러닝 등 인공지능 기술의 급속한 발전은 행정-정책 분야에도 영향을 확대하고 있다. 이 논문은 데이터분석과 알고리즘의 발전으로 자동화된 구성과 운용을 설계하는 인공지능 시대의 정책의사결정에 관한 탐색적 연구이다. 이 연구의 의의는 정책의사결정에서의 주요 연구 중 하나인 정책 문제의 문제구조화를 기반으로 하여, 문제정의가 잘 구조화된 정도에 따른 유형으로 이론적 틀을 구성하여 성공과 실패 사례를 구분하고 분석해서 시사점을 도출하였다. 즉 문제구조화가 어려운 유형일수록 인공지능을 활용한 의사결정의 실패 혹은 부작용의 우려가 크다는 것이다. 또한 알고리즘의 중립성여부에 대한 우려도 제시하였다. 정책적 제언으로는 우리나라 인공지능 추진체계구축 시 기술적 측면과 사회적 측면의 전문가들이 전문적으로 역할을 하는 소위원회를 병렬적으로 두고 이 소위원회들이 종합적, 융합적으로도 작동할 수 있는 운영의 묘를 발휘하는 거버넌스 추진체계 구축이 필요함을 제시하고 있다.

• 대한산업공학회지
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• 제43권1호
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• pp.1-11
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• 2017

Stochastic resource-constrained project scheduling problem is an extension of resource-constrained project scheduling problem such that activity duration has stochastic nature. In real situation where activity duration is not known until the activity is finished, open-loop based static policies such as activity-based policy and priority-based policy will not well cope with duration variability. Then, a dynamic policy based on closed-loop decision making will be regarded as an alternative toward achievement of minimal makespan. In this study, a dynamic policy designed to select activities to start at each decision time point is illustrated. The performance of static and dynamic policies based on variable neighborhood search is evaluated under the discrete-event simulation environment. Experiments with J120 sets in PSPLIB and several probability distributions of activity duration show that the dynamic policy is superior to static policies. Even when the variability is high, the dynamic policy provides stable and good solutions.