The platform discount: Addressing unpaid work as a structural feature of labour platforms

IF 1.1 Q2 LAW European Labour Law Journal Pub Date : 2023-11-13 DOI:10.1177/20319525231210550
David Mangan, Karol Muszyński, Valeria Pulignano
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Abstract

Digital labour platforms are able to structure work to limit paid working time, extract fees from workers to access labour, and shift costs associated with occupational safety and health (OSH) compliance onto platform workers. We call this unpaid work the ‘platform discount’. Unpaid labour is embedded within platforms’ competitive strategies as platforms operate with labour oversupply while clients use multiple platforms to search for the cheapest option (multi-homing effect). The authors study pathways through law that would limit the incidence of unpaid work by revisiting three areas of the legal framework: working time, safety and health, and access to work/labour intermediation. The authors argue that reclassification, suggested, among others, by the draft Platform Work Directive, can reduce the platform discount for the misclassified workers, but will leave solo self-employed unprotected. The authors explore two possible strategies to reduce the platform discount for the solo self-employed working on labour platforms: 1) a broader understanding of the concept of working conditions on digital labour platforms covering both standard employees and solo self-employed; 2) proceeding area by area, with the extension of occupational safety and health to the solo self-employed on digital labour platforms being the most feasible and promising from a regulatory standpoint.
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平台折扣:解决无薪工作作为劳动力平台的结构性特征
数字劳动平台能够组织工作以限制带薪工作时间,从工人那里收取费用以获得劳动力,并将与职业安全与健康(OSH)合规相关的成本转移到平台工人身上。我们称这种无偿工作为“平台折扣”。由于平台在劳动力供过于求的情况下运营,而客户则使用多个平台来寻找最便宜的选择(多重归巢效应),因此无薪劳动力嵌入了平台的竞争策略中。提交人通过重新审视法律框架的三个领域:工作时间、安全和健康以及获得工作/劳动中介的机会,研究了通过法律限制无偿工作发生率的途径。作者认为,平台工作指令草案建议的重新分类,可以减少对被错误分类的工人的平台折扣,但将使个体自营职业者不受保护。作者探讨了两种可能的策略来减少在劳动平台上工作的个体经营者的平台折扣:1)更广泛地理解数字劳动平台上涵盖标准员工和个体经营者的工作条件概念;2)逐个领域推进,从监管的角度来看,将职业安全和健康扩展到数字劳工平台上的个体经营者是最可行和最有希望的。
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来源期刊
CiteScore
1.60
自引率
28.60%
发文量
29
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