| Title |
Work–Family Conflict Among Employees and the Self-Employed Across Europe
|
|---|---|
| Published in |
Social Indicators Research, February 2015
|
| DOI | 10.1007/s11205-015-0899-4 |
| Pubmed ID | |
| Authors |
Anne Annink, Laura den Dulk, Bram Steijn |
| Abstract |
This article examines the level of work-family conflict of self-employed persons, a changing but neglected group in work-life research, compared to employees in Europe. Differences between the two groups are explained by looking at job demands and resources. The inclusion of work-family state support makes it possible to examine differences between countries. Multilevel analysis has been applied to data from the European Social Survey (ESS 2010). The results show that job demands and resources operate differently for employees and the self-employed. The relationship between employment type and WFC is mediated mainly by job demands such as working hours, working at short notice, job insecurity and supervisory work. The results also reveal variation across countries that cannot be explained by state support, signalling the need for a more complete understanding of WFC from a cross-national perspective. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 148 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 19% |
| Student > Master | 23 | 15% |
| Student > Bachelor | 16 | 11% |
| Researcher | 10 | 7% |
| Student > Doctoral Student | 8 | 5% |
| Other | 25 | 17% |
| Unknown | 38 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 34 | 23% |
| Social Sciences | 27 | 18% |
| Psychology | 21 | 14% |
| Medicine and Dentistry | 6 | 4% |
| Economics, Econometrics and Finance | 6 | 4% |
| Other | 15 | 10% |
| Unknown | 40 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 November 2015.
All research outputs
#15,349,796
of 22,832,057 outputs
Outputs from Social Indicators Research
#1,292
of 1,729 outputs
Outputs of similar age
#150,996
of 255,052 outputs
Outputs of similar age from Social Indicators Research
#27
of 41 outputs
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