• Korean Journal of Social Welfare
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• v.57 no.4
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• pp.5-33
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• 2005

In order to examine the causes of the social policy changes in Korea during the late of 1990s, this study tries to compare the social policy decision-making structure between Kim Yong-Sam Government and Kim Dae-Jung Government. This study applies policy network analysis method which measures the relation and power structures of policy actors and as a result shows the characteristics of the policy making structure. Analysing the 6 policy domains and 52 policy events, this study finds that the importance and location of veto points which were created by the social policy decision processes have changed. In Korea, social policy decision processes have been produced power structures in which Ministry of Finance and Economic Planning Board have played a decisive role. In result, these executives can have controlled policy making processes and had veto power, i. e. veto points in policy decision-making structure. But, during Kim Dae-Jung government, accountability issues of financial crisis and reorganization of ministries have changed the importance and location of veto points. Pro-welfare groups of civil society got a chance to penetrate policy decision-making structure during that time. This study argues that these changes of policy decision-making structure may be associated with the social policy changes in Korea during the late of 1990s.

• Korean Journal of Social Welfare Studies
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• no.39
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• pp.189-219
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• 2008

The purpose of this article is to examine the dynamics of pension insurance policy-making and policy outputs under the developmental state of Korea, by analysing the first attempt to establish the national pension scheme in the early 1970s. To the aim, this article formulated the comprehensive analytical framework from the viewpoint of process-oriented perspective, linking policy-making dynamics with the policy context as an external constraint and policy output as a result of policy-making. Policy context was explored in terms of three variables of politics, civil society and economy, whilst policy-making and policy network dynamics were examined by employing the following variables: i) initiators, motivation and triggering devices, ii) number of participants and key players, iii) participants' interests, iv) major conflicting parties and key differences of allegation, and v) interactions between participants. Policy outputs were analysed by looking into the mainly reflected interests and the change of intended policies.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.97-111
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• 2016

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

• Health Policy and Management
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• v.25 no.2
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• pp.129-139
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• 2015

Background: Policy network theory was proved to be an appropriate analytic tool for the current social welfare policy making process. This study aimed to analyze policy making process related to the nurse expansion and policy output while focusing on the interactions and activities among various policy actors. Methods: In this study, we used reports related to the need for expansion of nursing personnel journals, dissertations, newspaper articles, for hearings and debate policies for securing nurse data, and interviews. We examined three components of policy network, that is, policy actors, interactions, linkage of interest. Results: For that to expand the nurse before the 2000s in expanding the supply of medical supplies have been conducted without much disagreement among policy actors under the government's initiative. However, there was lacked a close relationship between the expanding supply of nurses and inaccurate analysis of supply and demand. As the policy is applied between the various policy actors' needs and claims, conflict was intensified and many policy options had been developed. Government only took a role as a coordinator among policy actors in the 2000's. Also, it was difficult to find sufficient and clear evidence that policy-making process based on fair judgment. Conclusion: Therefore, it is urgently required to determine the policy through a social consensus to address the appropriate policy means and the process by correct analysis of the policy issues.

• Korean Journal of Social Welfare
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• v.49
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• pp.264-295
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• 2002

This study aims to identify the enactment factors of the National Basic Livelihood Institution in context of policy making process by using Kingdon's policy Stream Model. The findings of this study can be summarized as follows. First, an economic crisis has worsened social problems, and the president Kim Dae-jung recognized these problems as serious and worried about social confusion and polarization. Second, NGOs as like People's Solidarity for Participatory Democracy put efforts into enacting the Act. Also, the president Kim's government faced a series of political crisis and needed political solution including foundation of a new party, which considered social welfare most important. Third, the PSPD designed the Act. But the alternatives of related government ministries were not selected. In conclusion, the National Basic Livelihood Institution was enacted by the combination of these three factors stream. Especially the political stream was strongest.

• Health Policy and Management
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• v.10 no.1
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• pp.57-94
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• 2000

Korea's social health insurance system was introduced in 1977, which has made a universal coverage possibly by July 1989. Korean government had pursued a single objective for the last decade to put the whole population under the coverage of medical security, and the objective was achieved within 12 years. The rapid accomplishment is primarily due to such factors as limited benefits, high copayment rate, low contributions as well as rapid economic growth. There are several sources of pressure for the implementation of social health insurance such as health professional group, labor unions, politicians, international organizations etc.. However it is important to look at the feasibility of social health insurance. Among other things, it is necessary to identify the administrative infrastructure of insurance system and to assess income for source of fund. As many developed countries, Korea began to apply health insurance to the employees of the large firms, and the expansion based on employment status. Thus the several funds system was inevitable according to the gradual expansion strategy. However many persons had criticized several funds system in respect with equity and efficiency aspects. In the short history of the Korean health insurance, whether one fund or sever or funds had been the most controversial issue. In Febrary 1999, the National Assembly passed the act of one fund system. From July 2000 separate funds will be unifed under new health insurance scheme. In this study we will analyze the policy making process on implementation, expansion and integration of health insurance system of Korea. And also analyse problems related to policy making.

• Informatization Policy
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• v.23 no.2
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• pp.54-72
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• 2016

This article analyzes the latest cases of Digital Social Innovation such as crowdsourcing and online petitions for public trouble-shooting in oder to demonstrate that public engagement of the citizens on decision making can enhance the quality of democracy. Digital Social Innovation contributes to citizen's participation on decision making and policy implementation with taking advantage of digital technologies of crowdsourcing and online petitions. Active civic engagement for decision making literally helps to improve and democratize government policy. These series of processes not only improve quality and efficiency of policy governance by building up transparency and effectiveness of policy itself but also enhance the throughput legitimacy. With this article, I quote and analyze various practices of Digital Social Innovation which we had substantiated to demonstrate the effectiveness of civic engagement for decision making to improve and enhance democracy. The hypothesis that the Digital Social Innovation attempted in various ways is a principal factor of democratization could be verified. Moreover, the practices of Digital Social Innovation helps the civic participation in policy making in modern society. Finally, this article suggests an implication of Digital Social Innovation as part of efforts to ensure the involvement of throughput legitimacy for the development of democracy.

• Health Policy and Management
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• v.16 no.4
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• pp.86-111
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• 2006

Either ways of understanding health care as a commodity or public work are at opposite ends of health care spectrum. These two rival conceptions reflected by viewpoint(ideology) would lead to different directions in policy-making for health care reform. The purpose of this study is to access the value differences of experts' policy views about health care issues by analyzing the extent of consensus among experts in the field of health care. Using primary data obtained through a mail survey of 558 experts in the field of health care, we analyzed the differences of experts' opinions about characteristics of health care market, policy issues and values Gdeology). The study represents from 50-50 split analysis, entropy index, and factor analysis that the wide spread disagreements over health policy, which is a major barriers to effective policy-making, could be caused by the ideological perception differences among experts. This implies that, if values play an important role in policy-making, we should identify the differences in value and seek ways to balance among the diverse values such as efficiency, equity, freedom, and security. For this, the policy issues debated on differences in values should be reconciled for narrowing gaps of experts' perceptions through various ways.

• 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".

• 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.