This study aims to introduce the potential of volatility, uncertainty, complexity, and ambiguity (VUCA) as a framework to explain the characteristics of current wicked policy risks. We also analyse how big data informatics help us to overcome volatile, uncertain, complex, and ambiguous wicked policy risks in the context of the COVID-19 pandemic. Specifically, presenting a VUCA framework, this study illustrates how policy risks disturb policy results based on selected cases. Additionally, we argue that big data analytics has become an increasingly significant and feasible instrument for managing policy risks. We discuss potential challenges concerning skepticism about continued politics in policy decisions and implementation processes, and limitations of informatics and the nature of big data, which is often possibly biased and incomplete.
|Number of pages||17|
|Journal||International Journal of Public Policy|
|Publication status||Published - 2022|
Bibliographical noteFunding Information:
This study is supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2021S9A5A2A03065493).
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All Science Journal Classification (ASJC) codes
- Sociology and Political Science
- Public Administration
- Political Science and International Relations