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Permanent record · RIR–2061

Mapping the Socio-Economic Drivers of Migrant Participation in European Platform Labour Markets

This study explores the intersection of migration patterns and platform-based employment across diverse European contexts. It aims to identify the structural factors that influence migrant representation in the gig economy.

Open to researchMBA suitableQualified 82/100P4 provenance
Primary research question

What structural economic factors correlate with higher migrant participation rates in European platform work?

Knowledge gap

What remains worth asking

The source suggests that further comparative analysis is needed to distinguish between voluntary and forced participation in platform labour.

Potential contribution

Why it may matter

Understanding these drivers is essential for developing equitable labour policies that protect vulnerable migrant workers.

Academic placement

OECD fields and topic tags

SociologyEconomicsLabour Studies

Scope: European Union member states · Method signals: Comparative analysis, Regression analysis

Possible study pathways

One question, different levels

Professional master’s / MBA

Analysis of labour market policy and platform business models.

Research master’s

Quantitative investigation of migrant labour market integration.

originalityModerate
methodologyModerate
Data accessModerate
ethicsModerate

Qualification signal

82/100

  • Requires access to harmonized European labour force survey data.
  • Open-access scholarly source and DOI metadata verified

Provenance

Research Idea Registry curation

  • DOI and bibliographic metadata independently resolved
  • Open-access status verified
  • The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.

APA 7 source

PIASNA, A., & ZWYSEN, W. (2026). Is platform work migrant work? The economic and social conditions behind migrant (over-)representation in the platform economy across Europe. International Labour Review, 165(1), Article 26398. https://doi.org/10.16995/ilr.23806

Paper abstract and discussion context; AI-inferred direction

Open source ↗