This article addresses the question how organizational characteristics are related to gender differences in employer-provided continuing training participation. By building on labor market and organizational theory, four mechanisms are tested: (i) formal policies, (ii) relative power, (iii) resources, and (iv) training demand. Multivariate analyses based on the German IAB-Establishment Panel provide evidence that the gender training gap varies considerably between organizations. Organizational policies supporting women’s employment over the life course, a higher share of female top managers, and employee organizations help to prevent a gender training gap. Moreover, the gender training gap is related to sectoral differences and company size.
The article investigates how institutional arrangements at the organizational and sectoral level affect the likelihood and size of employer investments in continuing training for low-skilled workers in Germany. By building on comparative political economy and organizational theory, hypotheses are derived and tested. Regression analysis based on the IAB Establishment Survey (waves 2011 and 2013) shows evidence that the training participation of low-skilled workers is related to institutional differences between sectors and organizations. At the organizational level, structures of employee representation and formalized HR policies are positively associated with higher rates of training participation among low-skilled workers. Moreover, there is evidence that low-skilled workers benefit in organizational clusters that are characterized by structures of employee representation, formalized HR practices, and bargaining coverage. At the sectoral level, this study finds evidence that low-skilled workers in the health care and manufacturing sector are more likely to receive continuing training.
This article investigates the role of ‘voice’, technology, innovation (of products, services, or processes) and labor shortages in the training participation of low skilled workers in German companies. By building on the key findings of previous research, hypotheses on drivers of training participation are derived from filter theory and the concept of social embeddedness. Regression and cluster analysis based on the German IAB Establishment Panel (wave 2011) show evidence that training participation is shaped by ‘voice’‐related institutional company characteristics such as employee representation or formalized HR practices. Both characteristics often cluster together. Regression analyses confirm that companies in this cluster train a higher share of their low‐skilled workforce. The share is particularly high when companies in this cluster face labor shortages. Apart from that, advanced technology and recent innovations at the company level are not related to higher rates of training participation among low skilled workers.
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