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How to Support Decision Making of Local Government in Prioritising Policy Menu Responding to Citizens' Views:An Exploratory Study of Text Mining Approach to Attain Cognitive Map Based on Citizen Survey Data

机译:如何在响应公民意见的政策菜单中优先支持地方政府的决策:基于公民调查数据的文本挖掘方法获得认知图的探索性研究

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It has been on the political agenda for the local governments how to satisfy their citizens to enhance their commitment and contribution to the communities. Especially in this ageing population era with tight fiscal conditions, it is essential for the government to know the prioritised policy menu in realising citizen satisfaction. This study aims to explore an applicable system based on citizen survey result. In our study, following literature review, we conducted focus group discussions to explore citizens' willingness to participate in local policy design, which leads us to be convinced that some activated citizens are supportive to the local governmental policy decision. Based on this qualitative result, we tried to make a cognitive map which indicated which policy fields are prioritised by citizens. Throughout this procedure, we validate the feasible practice to support local governmental decision making based on the result of citizen survey.
机译:地方政府的政治议程一直在如何满足其公民的需求,以增强其对社区的承诺和贡献。特别是在财政紧缩的人口老龄化时代,政府必须了解优先的政策菜单,以实现公民满意度。本研究旨在探索基于公民调查结果的适用系统。在我们的研究中,经过文献综述后,我们进行了焦点小组讨论,以探索公民参与地方政策设计的意愿,这使我们确信某些积极的公民支持地方政府的政策决策。基于此定性结果,我们试图制作一张认知图,该图表明哪些政策领域是公民优先考虑的领域。在整个过程中,我们根据公民调查的结果验证了支持地方政府决策的可行做法。

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