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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.

Oe, H., Yamaoka, Y. and Hideshima, E., 2016. 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. In: International Conference on Decision Support System Technology (ICDSST 2016): Decision Support Systems VI - Addressing Sustainability and Societal Challenges, 23-25 May 2016, Plymouth, UK.

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DOI: 10.1007/978-3-319-32877-5_15

Abstract

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.

Item Type:Conference or Workshop Item (Paper)
ISSN:1865-1348
Uncontrolled Keywords:local government; citizen perception; citizen survey; text mining; cognitive map
Group:Faculty of Management
ID Code:32988
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:01 Nov 2019 16:05
Last Modified:01 Nov 2019 16:05

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