Regulating Algorithmic Management On Digital Labour Platforms In Malaysia: Lessons From The United Kingdom

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Authors: Inss Emelda Teo Redzuan Teo, Siti Suraya Abd Razak, Ying Tuan Lo
Cited by: 0
References: 18

Abstract

Digital labour platforms increasingly rely on algorithmic management to allocate tasks, monitor performance, and regulate worker behaviour. In Malaysia, limited regulatory oversight raises concerns about transparency, fairness and protection for platform workers. This study benchmarks Malaysia against the United Kingdom to examine how regulatory approaches to algorithmic management shape working conditions. The findings reveal transparency gaps in Malaysia that expose workers to unfair evaluation and automated deactivation, while the United Kingdom demonstrates stronger employment recognition transparency duties and ethical AI governance. This study advances regulatory and ethical debates by showing how governance choices shape platform workers’ quality of life.

Fields of Study & Subjects

Digital Economy and Work Transformation Legal and Labor Studies Ethics and Social Impacts of AI

Publication details

Journal / source
Environment-Behaviour Proceedings Journal
Volume
11
Issue
35
Pages
53–60
Publication date
17 January 2026