Online Panel Survey of Platform Workers

DOI

Objective: The survey aims to increase the understanding of the working conditions, work patterns and work–life balance of women and men engaged in platform work from a gender perspective. Method: The online panel survey of platform workers was implemented in 10 selected EU countries – Denmark, Spain, France, Latvia, the Netherlands, Poland, Romania, Slovenia, Slovakia and Finland – and focused on identifying and collecting data from platform workers. The respondents, aged 16-54, who passed the filter questions on platform work participated in the online survey and received the questions aimed at platform workers. The non probability sampling of survey respondents was carried out using the consumer survey panel aggregator Cint. The panel contains detailed demographic information, which was used to target respondents and validate survey data. The survey fieldwork was carried out in November and December 2020. The final validated sample of platform workers comprised 4 932 respondents. Questionnaire content: The first two sections of the questionnaire were used to identify platform workers in the full sample. Another 11 thematic sections focused on sociodemographic profile of platform workers, working time, work patterns, working conditions, incomes, housework and care responsibilities, motivation and drawbacks of doing platform work as well as on the impact of the Covid-19 pandemic.

Self-administered questionnaire: Web-based

The survey targeted individuals aged 16–54 years who have ever worked on digital platforms.

Sampling Procedure Comment: Non-probability. The sampling of survey respondents was carried out using the consumer survey panel aggregator Cint.

Identifier
DOI https://doi.org/10.4232/1.14216
Metadata Access https://api.datacite.org/dois/10.4232/1.14216
Provenance
Creator European Institute For Gender Equality (EIGE)
Publisher GESIS
Contributor Peciukonis, Vytautas; European Institute For Gender Equality (EIGE). EIGE Commissioned PPMI To Carry Out The Survey.
Publication Year 2023
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OpenAccess true
Representation
Language German
Resource Type Dataset
Version 1.0.0
Discipline Social Sciences
Spatial Coverage Denmark; Spain; France; Latvia; Netherlands; Poland; Romania; Slovenia; Slovakia; Finland