新冠疫情防控具有“突发状况多、规范性少、独特性多”的特征,云计算、大数据等新型信息技术的使用为疫情防控工作提供了有力的支撑手段,但也凸显决策主体的认知缺陷问题。本文基于复杂决策理论,以2021年南京禄口机场突发新冠疫情后江苏省成功快速完成全员核酸检测系统上云部署为例,结合情景参与收集的数据,着重探究弥补决策主体认知缺陷的有效方法和实现路径。研究结果表明:(1)决策主体可以从决策问题的复杂性分析、决策目标的综合控制、决策过程的迭代、决策方案的递进优化四个维度来弥补其认知缺陷。(2)决策组织平台在初始阶段须以政府为序主体,并在不同决策阶段自发或推选确定不同的序主体。(3)“物理复杂性—系统复杂性—管理复杂性”的协同转换为复杂系统思维范式转移的有效路径。本研究对于在复杂紧急情况下如何作出与新技术应用相关的复杂决策,以及提升政府等主体的疫情防控管理决策水平具有理论意义和实践价值。
新冠疫情防控中的复杂决策研究——基于江苏省全员核酸检测系统上云部署的实践
摘要
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引用本文
白佳, 燕雪, 智勇. 新冠疫情防控中的复杂决策研究——基于江苏省全员核酸检测系统上云部署的实践[J]. 外国经济与管理, 2023, 45(1): 55-66.
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