Citation Export
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Koo, Byeongsu | - |
| dc.contributor.author | Lee, Jooyeoun | - |
| dc.contributor.author | Chung, Myoungsuk | - |
| dc.date.issued | 2025-01-01 | - |
| dc.identifier.issn | 2375-9356 | - |
| dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/38584 | - |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105006560174&origin=inward | - |
| dc.description.abstract | This study investigates the legal and policy responses of countries to platform labor, a significant employment form in the digital economy. Platform workers often fall into the gaps of traditional labor laws, facing challenges such as unclear legal status, limited social insurance coverage, insufficient algorithm transparency, and weak regulatory enforcement. Using fuzzy-set qualitative analysis, this study examines platform labor policies in the United States, Japan, and China. Japan recognizes platform workers as an intermediate category under the Specified Fiduciary System, offering partial legal protections. China adopts a comprehensive but weakly enforceable framework under the concept of New Employment Forms. Meanwhile, the U.S. demonstrates variability across states, with conflicts between recognizing platform workers as employees versus independent contractors. Based on these findings, the study proposes policy recommendations to improve platform worker protections, emphasizing clearer legal definitions, enhanced social insurance inclusion, greater algorithmic transparency, and stronger enforcement mechanisms. | - |
| dc.language.iso | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.subject.mesh | Case-studies | - |
| dc.subject.mesh | Digital economy | - |
| dc.subject.mesh | Fuzzy-set qualitative analyze | - |
| dc.subject.mesh | Labor laws | - |
| dc.subject.mesh | Legal frameworks | - |
| dc.subject.mesh | Legal status | - |
| dc.subject.mesh | Platform labor | - |
| dc.subject.mesh | Qualitative analysis | - |
| dc.subject.mesh | Worker protection | - |
| dc.subject.mesh | Workers | - |
| dc.title | Case Study and Qualitative Comparison of Global Legal Frameworks for Platform Labor | - |
| dc.type | Article | - |
| dc.citation.conferenceDate | 2025.02.09.~2025.02.12. | - |
| dc.citation.conferenceName | 2025 IEEE International Conference on Big Data and Smart Computing, BigComp 2025 | - |
| dc.citation.edition | Proceedings - 2025 IEEE International Conference on Big Data and Smart Computing, BigComp 2025 | - |
| dc.citation.endPage | 429 | - |
| dc.citation.number | 2025 | - |
| dc.citation.startPage | 424 | - |
| dc.citation.title | Proceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP | - |
| dc.identifier.bibliographicCitation | Proceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP No.2025, pp.424-429 | - |
| dc.identifier.doi | 10.1109/bigcomp64353.2025.00089 | - |
| dc.identifier.scopusid | 2-s2.0-105006560174 | - |
| dc.identifier.url | https://ieeexplore.ieee.org/xpl/conhome/10936630/proceeding | - |
| dc.subject.keyword | digital economy | - |
| dc.subject.keyword | fuzzy-set qualitative analysis | - |
| dc.subject.keyword | platform labor | - |
| dc.subject.keyword | worker protection | - |
| dc.type.other | Conference Paper | - |
| dc.identifier.pissn | 2375933X | - |
| dc.subject.subarea | Artificial Intelligence | - |
| dc.subject.subarea | Computational Theory and Mathematics | - |
| dc.subject.subarea | Computer Networks and Communications | - |
| dc.subject.subarea | Computer Science Applications | - |
| dc.subject.subarea | Computer Vision and Pattern Recognition | - |
| dc.subject.subarea | Information Systems | - |
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