From evidence-based policy making to data-driven administration: proposing the data vs. value framework
- Authors
- Hwang, S.[Hwang, S.]; Nam, T.[Nam, T.]; Ha, H.[Ha, H.]
- Issue Date
- 2021
- Publisher
- Taylor and Francis Ltd.
- Keywords
- big data; Data-driven administration; evidence-based policy-making; public value
- Citation
- International Review of Public Administration, v.26, no.3, pp.291 - 307
- Indexed
- SCOPUS
KCI
- Journal Title
- International Review of Public Administration
- Volume
- 26
- Number
- 3
- Start Page
- 291
- End Page
- 307
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/93034
- DOI
- 10.1080/12294659.2021.1974176
- ISSN
- 1229-4659
- Abstract
- This study proposes a framework of data-driven administration built on both data and value dimensions and thereby suggests four possible types arising from cases (data-rich and value neutral, data-rich and value-controversial, data-poor and value-neutral, and data-poor and value-controversial). Using an exploratory case study approach, we discuss data-driven administration in the perspective of evidence-based policy-making. Following the tradition of evidence-based policy-making, the advancement of data analytics promotes data-driven administration to solve social problems and innovate government operations. We review relevant cases in Korea and then illustrates how the combinations of two dimensions make practices of data-driven administration successful or not. There is little study pointing out to be mindful of values embedded with social issues in certain domains, even when approached with data-driven administration. The framework of data-driven administration can be used for the better understanding of increasing data analytics practices in the public sector with guiding principles of data readiness and value controversy. © 2021 The Korean Association for Public Administration.
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Collections - Graduate School of Governance > Graduate School of Governance > 1. Journal Articles
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