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

Inss Emelda Teo Redzuan Teo; Siti Suraya Abd Razak; Lo Ying Tuan

doi:10.21834/e-bpj.v11i35.7545

Authors

Inss Emelda Teo Redzuan Teo Faculty of Management, Universiti Teknologi Malaysia, Johor Bahru Malaysia
Siti Suraya Abd Razak Faculty of Management, Universiti Teknologi Malaysia, Johor Bahru Malaysia
Lo Ying Tuan Entrepreneurship & Enterprise Hub, XJTLU Entrepreneur College (Taicang), Xi'an Jiaotong-Liverpool University

DOI:

https://doi.org/10.21834/e-bpj.v11i35.7545

Keywords:

algorithmic management, Digital labour platform, Labour protection, Gig economy

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.

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