Managing policy risks using big data analytics in the pandemic era: VUCA and wicked policy problems

Sabinne Lee, M. Jae Moon

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)362-378
Number of pages17
JournalInternational Journal of Public Policy
Volume16
Issue number5-6
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
Copyright © 2022 Inderscience Enterprises Ltd.

All Science Journal Classification (ASJC) codes

  • Sociology and Political Science
  • Public Administration
  • Political Science and International Relations

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