Citation Export
DC Field | Value | Language |
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dc.contributor.author | Lee, Youhyun | - |
dc.contributor.author | Jung, Il Young | - |
dc.date.issued | 2021-01-01 | - |
dc.identifier.uri | https://dspace.ajou.ac.kr/dev/handle/2018.oak/32429 | - |
dc.description.abstract | Data innovation is at the core of the Fourth Industrial Revolution. While the catastrophic COVID-19 pandemic has accelerated the societal shift toward a data-driven society, the direction of overall data regulation remains unclear and data policy experts have yet to reach a consensus. This study identifies and examines the ideal regulator models of data-policy experts and suggests an appropriate method for developing policy in the data economy. To identify different typologies of data regulation, this study used Q methodology with 42 data policy experts, including public officers, researchers, entrepreneurs, and professors, and additional focus group interviews (FGIs) with six data policy experts. Using a Q survey, this study discerns four types of data policy regulators: proactive activists, neutral conservatives, pro-protection idealists, and pro-protection pragmatists. Based on the results of the analysis and FGIs, this study suggests three practical policy implications for framing a nation’s data policy. It also discusses possibilities for exploring diverse methods of data industry regulation, underscoring the value of identifying regulatory issues in the data industry from a social science perspective. | - |
dc.description.sponsorship | This work was supported by the Science and Technology Policy Institute Research Fund. We express our sincere gratitude to Dr. Lee Kwang-ho for his insights regarding the Q-statements. | - |
dc.language.iso | eng | - |
dc.publisher | Korea Institute of Science and Technology Information | - |
dc.title | Identifying Stakeholder Perspectives on Data Industry Regulation in South Korea | - |
dc.type | Article | - |
dc.citation.endPage | 30 | - |
dc.citation.startPage | 14 | - |
dc.citation.title | Journal of Information Science Theory and Practice | - |
dc.citation.volume | 9 | - |
dc.identifier.bibliographicCitation | Journal of Information Science Theory and Practice, Vol.9, pp.14-30 | - |
dc.identifier.doi | 10.1633/jistap.2021.9.3.2 | - |
dc.identifier.scopusid | 2-s2.0-85120971132 | - |
dc.identifier.url | www.jistap.org | - |
dc.subject.keyword | data industry | - |
dc.subject.keyword | data policy | - |
dc.subject.keyword | data regulation | - |
dc.subject.keyword | focus group interviews | - |
dc.subject.keyword | Q methodology | - |
dc.subject.subarea | Information Systems | - |
dc.subject.subarea | Information Systems and Management | - |
dc.subject.subarea | Library and Information Sciences | - |
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