중앙정부 정책만족도 개선방안에 대한 내부고객과 외부전문가의 인식분석 -언어네트워크분석을 중심으로- = A Study on Policy Satisfaction for Policy Improvement of Central Government: Focusing on Semantic Network Analysis

다국어 초록 (Multilingual Abstract)

Researches on policy satisfaction level of central governments largely influence the citizens and relevant parties who are the customers of such agencies in terms of policy responsibility. How highly the target groups of the policy are satisfied with and trust the government's policies is the core factor in establishing an efficient performance management and policy process. This study has empirically analyzed such policy satisfaction by semantic network analysis in order to draw out the suggestions to improve satisfaction of policy. The results of analysis indicated: At the department level of the government, the important suggestions to improve satisfaction of policies for the internal customers were 'collection of various opinions when they formulate policies', which was followed by 'enhancement of policy collaborations among divisions or departments' while 'improvement of policy quality' was the first for the external experts, which was followed by 'collection of various opinions in policy making', etc. At the agency level of the government, the important suggestions to improve satisfaction of policies for the internal customers were ‘enhancement of policy collaborations among divisions or governments’ and ‘systematic operation in policy implementation process’ while 'systematic use of external experts', and 'collection of various opinions in policy making' were for the experts. This study results, thus, show that the internal customers and external experts are in common in thinking of the issues but the internal customers participating in planning and implementing process of policies and external experts are different from each other in the proposal of improvement suggestions for policy satisfaction level in general.

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