A SWOT analysis of smart governance applications amid the COVID-19 pandemic

IF 1.3 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Huaxiong Jiang
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引用次数: 2

Abstract

Smart governance technologies are emergent information and communication technologies (ICT), which amid the COVID-19 pandemic have been widely used to govern COVID’s impacts. However, very few studies have provided insight into the strengths, weaknesses, opportunities, and threats (SWOT) of smart governance technologies under COVID-19. This prevents the widespread usage of smart governance technologies across cities and countries and impedes their usefulness during emergencies. This study combines knowledge of emergency management theory and planning support systems (PSS) to frame the functional usefulness of smart governance technologies in handling practical tasks amid the COVID-19 state of emergency into a task-technology fit model. By employing qualitative content analysis to collect views and insights from the international news-based cases (n= 69), we identify SWOT of smart governance technologies under COVID-19. Results indicate that usefulness of smart governance technologies is reflected in task-handling in the ex-post emergency phases of response (e.g., provide e-health service, tracing and tracking) and recovery (e.g., improve e-government services, enhance collaboration for renewal), whereas few applications focus on tasks in the ex-ante emergency phases of mitigation (e.g., hazard analysis, vulnerability assessment) and preparedness (e.g., planning, training and exercises). Main findings lead to a conclusion that hidden capacities of smart governance technologies can be fully achieved if policy makers and practitioners can focus on the full range of tasks and demands before, amid, or after emergencies and identify collaborative opportunities for technological development.
COVID-19大流行期间智能治理应用的SWOT分析
智能治理技术是新兴的信息通信技术(ICT),在COVID-19大流行期间被广泛用于治理COVID-19的影响。然而,很少有研究深入了解COVID-19下智能治理技术的优势、劣势、机会和威胁(SWOT)。这阻碍了智能治理技术在城市和国家的广泛使用,并阻碍了它们在紧急情况下的发挥作用。本研究结合应急管理理论和规划支持系统(PSS)知识,将新冠肺炎紧急状态下智能治理技术在处理实际任务中的功能有用性构建为任务-技术适配模型。通过定性内容分析,收集国际新闻案例(n= 69)的观点和见解,我们确定了COVID-19下智能治理技术的SWOT。结果表明,智能治理技术的有用性体现在应急后响应阶段(例如,提供电子保健服务、追踪和跟踪)和恢复阶段(例如,改善电子政务服务、加强更新方面的协作)的任务处理中,而很少有应用侧重于应急前缓解阶段(例如,危害分析、脆弱性评估)和准备阶段(例如,规划、培训和演习)的任务。主要研究结果得出的结论是,如果政策制定者和从业者能够在紧急情况之前、之中或之后关注所有任务和需求,并确定技术发展的合作机会,那么智能治理技术的潜在能力就可以充分发挥出来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Polity
Information Polity INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.30
自引率
10.00%
发文量
42
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