信息资源管理学报 ›› 2023, Vol. 13 ›› Issue (5): 79-91.doi: 10.13365/j.jirm.2023.05.079

• 研究论文 • 上一篇    下一篇

社会诉求数据在“情景-应对”型应急决策中的应用研究

李桂华 张秋东 林思妍   

  1. 四川大学公共管理学院,成都,610065
  • 出版日期:2023-09-26 发布日期:2023-10-15
  • 作者简介:李桂华,博士,教授,博士生导师,研究方向为信息行为、阅读行为、公共部门信息资源管理;张秋东(通讯作者),博士生,研究方向为公共部门信息资源管理,Email:184523839@qq.com;林思妍,博士生,研究方向为公共部门信息资源管理。
  • 基金资助:
    本文系四川省社会科学研究“十四五”规划重点项目“大数据时代的疫情信息公开和通报机制研究”(SC21A011)的研究成果之一。

The Application of Social Demand Data in "Scenario-response" Emergency Decision-making

Li Guihua Zhang Qiudong Lin Siyan   

  1. School of Public Administration, Sichuan University, Chengdu, 610065
  • Online:2023-09-26 Published:2023-10-15

摘要: 社会诉求数据作为社会感知类的实时信息源,在应急决策中开始发挥重要作用。基于数据驱动风险管理的相关研究,构建了由数据层、方法层和业务层构成的分析框架,以2020年初成都市新冠肺炎疫情应对实践为例,探讨社会诉求数据在“情景-应对”型应急决策中的数据价值及价值实现路径。研究发现,社会诉求数据在应急决策中具有危机预警、决策支持和信息沟通的数据价值;社会诉求数据通过牵引、激活、助推等方式贯穿“情景-应对”型应急决策的全过程,从而实现其数据价值。社会诉求数据在“情景-应对”型应急决策中的应用促进应急决策的信息融合和利用,助力应急决策效率跃升。

关键词: 社会诉求数据, “ 情景-应对”, 应急决策, 数据价值, 新冠肺炎疫情

Abstract: As a source of social perception information in real time, social demand data plays an important role in emergency decision-making. Based on previous studies, an analytical framework composed of a data layer, a method layer, and a business layer is presented. Using the COVID-19 response practice in Chengdu in early 2020 as an example, the data value and value realization modes of social demand data in the application process of "scenario-response" emergency decision-making are investigated. It is found that social demand data is useful for crisis warning, decision support, and information communication in emergency decision-making. In order to to realize its data values, social demand data traverses the whole process of the "scenario-response" emergency decision-making through traction, activation and boosting. The application of social demand data promotes information fusion and utilization for emergency decision making, thereby improving the efficiency of emergency decision making.

Key words: Social demand data, Scenario-response, Emergency decision, Data value, COVID-19

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