摘要
新时代背景下,公共服务需求的演进特点和公共服务供给始终存在的现实困境,使如何充分发挥大数据价值,实现精准回应、满足公共服务需求成为重要的研究议题。文章依据DIKW模型,从数据流转的视角,构建了基于社会诉求大数据的公共服务需求管理模型,该模型将需求管理全过程分为需求识别、需求分析和需求决策等三个连续的环节,通过对社会诉求大数据的结构化描述、聚合分析、综合评估,实现公共服务需求精准管理。在此基础上,采集人民网地方领导留言板数据进行实证分析。研究表明,提出的模型及方法具有可行性,可以从整体上刻画公共服务需求,精准发现需求主体的身份类别、区域分布、情感极性等特征,为需求决策提供依据。
How to fully leverage the value of big data,achieve precise response and satisfy public service needs has become an important research topic.This paper based on the DIKW model and from the perspective of data flow,a public service demand management model based on big data of social appeals is constructed.This model divides the entire demand management process into three consecutive stages:demand identification,demand analysis,and demand decision-making.Through structured description,aggregation analysis,and comprehensive evaluation of social appeals big data,precise management of public service demand is achieved.On this basis,collect data from local leaders'message boards on People's Daily Online for empirical analysis.It is shown that the proposed model and method are feasible and can comprehensively characterize public service demand,accurately discover identity category,regional distribution,emotional polarity and other characteristics of demand subjects,and provide a basis for demand decision-making.
作者
沙勇忠
苏有丽
Sha Yongzhong;Su Youli
出处
《图书与情报》
CSSCI
北大核心
2023年第6期75-85,共11页
Library & Information
基金
国家社会科学基金重大项目“新时代我国数字强边战略及实施路径研究”(项目编号:21&ZD163)研究成果之一。
关键词
公共服务
需求管理模型
社会诉求大数据
public service
demand management model
big data of social appeals
