2013
DOI: 10.1016/j.emj.2013.04.010
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National context in work-life research: A multi-level cross-national analysis of the adoption of workplace work-life arrangements in Europe

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Cited by 104 publications
(96 citation statements)
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References 62 publications
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“…Some qualitative studies provide evidence of "crowding out": that is, in countries without much statutory family policy provision, companies use family-friendly policies for staff retention or other strategic reasons (Den Dulk 2005; Ollier-Malaterre 2009). On the contrary, studies using quantitative data of companies have shown that company-level schedule control policies are more widespread in countries where there are generous family policies at the national level (Den Dulk et al 2013;Chung 2014). Others using individual-level quantitative data argue that there are no clear relationships between statutory regulations and (extra) company-level provisions (Kassinis and Stavrou 2013;Präg and Mills 2014), and only when there is a very large involvement from the state can a "crowding out" impact be seen (Evans 2002).…”
Section: Impact Of Institutionsmentioning
confidence: 99%
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“…Some qualitative studies provide evidence of "crowding out": that is, in countries without much statutory family policy provision, companies use family-friendly policies for staff retention or other strategic reasons (Den Dulk 2005; Ollier-Malaterre 2009). On the contrary, studies using quantitative data of companies have shown that company-level schedule control policies are more widespread in countries where there are generous family policies at the national level (Den Dulk et al 2013;Chung 2014). Others using individual-level quantitative data argue that there are no clear relationships between statutory regulations and (extra) company-level provisions (Kassinis and Stavrou 2013;Präg and Mills 2014), and only when there is a very large involvement from the state can a "crowding out" impact be seen (Evans 2002).…”
Section: Impact Of Institutionsmentioning
confidence: 99%
“…The different results may be due to the different types of data used, but also due to the different measurement of family policies at the national level -Evans (2002), Lyness et al 5 (2012), and Präg and Mills (2014) focus on leave policies, Kassinis and Stavrou (2013) and Chung (2014) use family policy expenditure, while Den Dulk et al (2013) use a single composite indicator encompassing both leave policies and childcare provision. However, efforts made by governments to support families are multi-dimensional and can have very different impacts on work-family outcomes (Misra et al 2011), and do not necessarily correlate with one another (Korpi 2000).…”
Section: Impact Of Institutionsmentioning
confidence: 99%
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“…Unlike other researchers who used these variables to create latent variables based on complex scaling techniques (e.g., [38][39][40]), we want to keep our variables simple. When analyzing unidimensional or global constructs like work centrality, single-item measures reduce the common method variance and have better face-validity and according to empirical analyses they are appropriate and provide useful information [41][42][43][44].…”
Section: Datamentioning
confidence: 99%
“…Explanations given thus far for national variation in organizations' provision of work-life arrangements focus on who is seen in the particular cultural context of a country as responsible and eligible for providing support for care responsibilities: the family, the state or employers (Kamerman & Kahn, 1997;Ollier-Malaterre, 2009), differences in the legislative context (Den Dulk et al, 2012;Den Dulk, Groeneveld, Ollier-Malaterre, & Valcour, 2013;Lewis, 2003;Lewis & Haas, 2005) and variation in the level of gender equality in society Lyness & Kropf, 2005). Cross-national studies have, however, yielded mixed or even contradictory results .…”
Section: Introductionmentioning
confidence: 99%