Adding to the debate on the integrative or marginalizing nature of female part-time work, this article provides a comparative analysis of the implications of female part-time work for different intrinsic job quality dimensions and job satisfaction. Drawing on national micro-data from Britain, Germany, the Netherlands, and Sweden, our multivariate analyses show cross-national similarities in terms of lower job learning opportunities for female part-timers. We found a significantly higher incidence of repetitiveness only among Swedish female part-timers and lower degrees of task discretion among British, Dutch, and Swedish women working part-time hours. Female part-timers were either equally satisfied with their work as female full-timers or even more satisfied. This held true also after accounting for the lower intrinsic job quality of part-time work. While women working part-time hours were as affected by their job quality characteristics as were full-timers, we conclude that the shorter hours of work per se provide an important additional source of job satisfaction.
We study the emergence and evolution of trust in larger societies. We focus on the thin notion of trust, that is the trust needed for interacting with hitherto unknown individuals encountered for just a single interaction. Our model builds upon well-established theoretical knowledge of the determinants of trust. These works identify parameters such as the existence of networks, the level of mobility or the percentage of trust-abusing agents in a society. While the influence of each of these factors individually is well-established by empirical work, a precise account of the interplay of these factors is lacking. To bridge this gap, we devise a multi agent computer simulation that allows a fine grained analysis of the dynamic processes governing the emergence of trust and its dependencies upon these parameters. We model agents using a bayesian learning framework about the value of trust, taking both individual and social information into account.
Green information systems have been shown to contribute to environmental sustainability and help to prevent associated problems. Private households account for 25% of primary energy consumption in western countries, and therefore hold a great potential to curb the use of fossil fuels and prevent cli-mate change. As such, green information systems should not focus solely on the organizational con-text, but also target a single individual’s behaviour in their home. Personal information systems (e.g., web portals) can achieve this focus, however, need to be actively used to produce effects. System us-age can be effectively motivated through incentives, and therewith contribute to positive outcomes. Incentives are either monetary or non-monetary and can be implemented in different scales. In a large field experiment (n= 2,355), with real energy customers of a utility company, we tested the effective-ness of different types and sizes of incentive in motivating active system usage. We show that incen-tives significantly increased system usage of participants, and additionally increased energy savings. However, monetary incentives were not necessarily superior to non-monetary incentives.