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Case Study and Qualitative Comparison of Global Legal Frameworks for Platform Labor
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dc.contributor.authorKoo, Byeongsu-
dc.contributor.authorLee, Jooyeoun-
dc.contributor.authorChung, Myoungsuk-
dc.date.issued2025-01-01-
dc.identifier.issn2375-9356-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/38584-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105006560174&origin=inward-
dc.description.abstractThis 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.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshCase-studies-
dc.subject.meshDigital economy-
dc.subject.meshFuzzy-set qualitative analyze-
dc.subject.meshLabor laws-
dc.subject.meshLegal frameworks-
dc.subject.meshLegal status-
dc.subject.meshPlatform labor-
dc.subject.meshQualitative analysis-
dc.subject.meshWorker protection-
dc.subject.meshWorkers-
dc.titleCase Study and Qualitative Comparison of Global Legal Frameworks for Platform Labor-
dc.typeArticle-
dc.citation.conferenceDate2025.02.09.~2025.02.12.-
dc.citation.conferenceName2025 IEEE International Conference on Big Data and Smart Computing, BigComp 2025-
dc.citation.editionProceedings - 2025 IEEE International Conference on Big Data and Smart Computing, BigComp 2025-
dc.citation.endPage429-
dc.citation.number2025-
dc.citation.startPage424-
dc.citation.titleProceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP-
dc.identifier.bibliographicCitationProceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP No.2025, pp.424-429-
dc.identifier.doi10.1109/bigcomp64353.2025.00089-
dc.identifier.scopusid2-s2.0-105006560174-
dc.identifier.urlhttps://ieeexplore.ieee.org/xpl/conhome/10936630/proceeding-
dc.subject.keyworddigital economy-
dc.subject.keywordfuzzy-set qualitative analysis-
dc.subject.keywordplatform labor-
dc.subject.keywordworker protection-
dc.type.otherConference Paper-
dc.identifier.pissn2375933X-
dc.subject.subareaArtificial Intelligence-
dc.subject.subareaComputational Theory and Mathematics-
dc.subject.subareaComputer Networks and Communications-
dc.subject.subareaComputer Science Applications-
dc.subject.subareaComputer Vision and Pattern Recognition-
dc.subject.subareaInformation Systems-
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