Postdemokratie, Humankapital und politische Handlungsfähigkeit

Reconstructing the transformation of manpower into human capital this article shows the effects on individual and collective political agency. In booming societies of the 1960s and early 1970s which were based on mass consumption, the utopia of a revolutionary proletarian subject vanished. It was superseded by the idea of a dualistic society providing a growing sphere of autonomy from economic dependancy. The neoliberal transformation of society destroyed this belief. If there is a strong convergence between labor and human capital, labor tends to interfuse the whole life. Complex governmental and economic regulation restricts democracy and effects individualization. The critical examination of processes of individualization shows the mechanisms that produce social antagonism.     

Another ‘Glass Ceiling’?: The Experiences of Women Professionals and Managers on International Assignments

The last fifteen years have seen an exponential growth in research on women professionals and managers in organizations. However, much less attention has been paid to the small but growing number of women who are embracing international careers. This paper describes some of the main findings of a two-year longitudinal study of the experiences of 92 women expatriates in a variety of UK-based companies. The results show that while there are a growing number of women opting for international assignments (IAs), they are overwhelmingly concentrated in junior and middle management positions, have less options in terms of the countries to which they can be posted and are handicapped by cultural prejudices about ‘proper’ gender roles in some countries. The reasons for these problems are explored and some suggestions are made for improving international opportunities for women employees in the future.     

Reversible jump methods for generalised linear models and generalised linear mixed models

A reversible jump algorithm for Bayesian model determination among generalised linear models, under relatively diffuse prior distributions for the model parameters, is proposed. Orthogonal projections of the current linear predictor are used so that knowledge from the current model parameters is used to make effective proposals. This idea is generalised to moves of a reversible jump algorithm for model determination among generalised linear mixed models. Therefore, this algorithm exploits the full flexibility available in the reversible jump method. The algorithm is demonstrated via two examples and compared to existing methods.