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Case Study and Qualitative Comparison of Global Legal Frameworks for Platform Labor
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Publication Year
2025-01-01
Journal
Proceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings of the IEEE International Conference on Big Data and Smart Computing, BIGCOMP No.2025, pp.424-429
Keyword
digital economyfuzzy-set qualitative analysisplatform laborworker protection
Mesh Keyword
Case-studiesDigital economyFuzzy-set qualitative analyzeLabor lawsLegal frameworksLegal statusPlatform laborQualitative analysisWorker protectionWorkers
All Science Classification Codes (ASJC)
Artificial IntelligenceComputational Theory and MathematicsComputer Networks and CommunicationsComputer Science ApplicationsComputer Vision and Pattern RecognitionInformation Systems
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.
ISSN
2375-9356
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/38584
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105006560174&origin=inward
DOI
https://doi.org/10.1109/bigcomp64353.2025.00089
Journal URL
https://ieeexplore.ieee.org/xpl/conhome/10936630/proceeding
Type
Conference Paper
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Department of Industrial Engineering
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