Motivating factors for working on digital labour platforms by the proportions (% of platform workers) eige_pw_motiv__pws_wlb_motiv

Time format:
Years
Unit:
Percentage (comparable)
Description:

This indicator shows the factors regular platform workers report motivates them to work on digital platforms. Regular platform workers are defined as those who had worked on digital platforms at least occasionally in the past 6 months. Working at least occasionally aggregates three answer categories: 'I worked irregularly or occasionally, from time to time’, ‘I worked regularly for a period of less than three months’ and ‘I worked regularly for a period of more than three months’.

The indicator is based on responses to the question: Think about the reasons why you worked via online platforms. Which of the factors listed below were the most important for you? Respondents could select up to three of the below factors:

  • There are no regular job opportunities for me
  • I was laid-off from my job
  • It is a good way to earn (additional) income
  • I can combine it with my household chores and/or family commitments (e.g. caring for children or elderly, etc.)
  • It is compatible with my other regular activities (e.g., job, studies, hobbies, social activities, etc.)
  • It is a way to develop skills or build professional portfolio
  • I can choose when and where I work
  • I can work globally or get more clients from different countries or cities
  • My platform work tasks are related to my interests or hobbies
  • Other

More information on the methodological aspects of EIGE’s survey of platform workers can be obtained in the technical report.

Keywords:
discriminated, discrimination, work
DK
ES
FR
LV
NL
PL
RO
SI
SK
FI
2021
DK
42.3
ES
43.2
FR
23.8
LV
46.3
NL
35.2
PL
25.9
RO
28.1
SI
38.2
SK
30.4
FI
31.9

Available flags:

b break in time series c confidential
d definition differs, see metadata e estimated
f forecast i see metadata
m imputed n not significant
p provisional r revised
s Eurostat estimate u low reliability
x dropped due to insufficient sample size y unreliable due to small sample size
z not applicable