• Journal of Korea Technology Innovation Society
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• v.6 no.2
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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.

• 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.

• 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.

• Health Policy and Management
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• v.18 no.2
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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.

• Journal of Engineering Education Research
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• v.21 no.2
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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.

• 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.

• The Journal of Korean Academy of Prosthodontics
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• v.46 no.6
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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.

• The Journal of Information Systems
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• v.29 no.3
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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".

• 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 Korean Institute of Industrial Engineers
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• v.43 no.1
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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.