Who is bullying whom in ethnically diverse primary schools? Exploring links between bullying,ethnicity, and ethnic diversity in Dutch primary schools

This study investigated associations between ethnicity, ethnic diversity, and bullying among 739 pupils enrolled in their last year of primary school. Hypotheses derived from social misfit and inter-ethnic relations theories were tested using the multilevel p₂ model. Our key findings were: (1) inter- and intra-ethnic bullying are just as common in ethnically heterogeneous as in homogeneous classes; (2) pupils belonging to the Turkish and Moroccan minority groups bully significantly more than native Dutch (in particular according to victims); the chance to be victimized does not depend on the ethnic background of the pupil; (3) the prevalence of inter- and intra-ethnic bullying depends on the level of ethnic diversity in the class; inter-ethnic and intra-ethnic bullying increase with increasing levels of ethnic diversity.     

How Provider Selection and Management Contribute to Successful Innovation Outsourcing: An Empirical Study at Siemens

It is becoming increasingly common to involve external technology providers in developing new technologies and new products. Two important phases involved in working with technology vendors are vendor selection and vendor management. Because for both steps theory development of key decision guidelines is still immature, we use detailed case studies of 31 innovation outsourcing projects at Siemens to develop grounded theory on provider selection criteria and on project management success drivers. A selection criterion often associated with successful outsourcing is the provider's “track record” or previous experience. Our cases suggest that there is no standard “track record” for success but that a “match” between the client firm's outsourcing motivation and the provider's strengths appears to be a necessary condition for a successful outsourcing collaboration. As to the second phase—managing the vendor—we identify a number of operational project success drivers. There seems to be no universal checklist, but the most important drivers seem to be contingent on the type of vendor chosen and on the maturity of the technology. We compare five provider types—universities, competitors, customers, start‐up companies, and component suppliers—and find that some success drivers are common to all providers, while others are relevant only for certain types of provider. Moreover, drivers in the case of a mature technology are more focused on successful transfer to manufacturing than on development itself. Our findings offer guidelines for innovation managers on how to select innovation providers and how to manage them during the project.     

Competitive Capabilities among Manufacturing Plants in Developing,Emerging, and Industrialized Countries: A Comparative Analysis

Competitive capabilities have been defined as a plant's actual performance relative to its competitors, with the most commonly investigated capabilities being quality, delivery, flexibility, and cost. However, most research in this realm has investigated capabilities within developed countries, and neglected the context of developing and emerging nations, which are increasingly becoming viable economic entities in global supply chains in their own right. The present study fills this gap and carries out a comparative analysis of competitive capabilities among plants in developing, emerging, and industrialized countries. Basing our arguments on the resource‐based view of the firm, we suggest that the influence of competitive capabilities on each other varies among plants in differentially industrialized regions. Specifically, we suggest that, on average, competitive capabilities tend to influence each other to a greater degree in plants in emerging and developing countries compared to industrialized countries. Along similar lines, we suggest that the influence of the four competitive capabilities on performance improvement is manifested more strongly among plants in emerging and developing countries than among plants in industrialized nations. We investigate these contentions with data from 1,211 plants in 21 countries. The results are particularly important for decision makers as they decide on the increasingly global location of their manufacturing operations or the configuration of their global supply chains.     

Self-Exclusion as a Harm Minimization Strategy: Evidence for the Casino Sector from Selected European Countries

As the international gambling market continues to expand, determining effective approaches to prevent gambling-related problems becomes increasingly important. Despite a lack of in-depth research into its benefits, self-exclusion is one such measure already in use around the world in various sectors of the gambling industry. The present study is the first of its kind to examine the effectiveness of self-exclusion schemes in the casino sector in selected European countries. A written survey yielded a sample of N = 152 (self)-excluded gamblers. In addition to this cross-section analysis, a small sub-group (n = 31) was monitored over time by means of follow-up surveys carried out 1, 6, and 12 month(s) after the exclusion agreement came into force. The results reveal that the self-excluded individuals are typically under a great deal of strain and show a relatively pronounced willingness to change. However, this largely reaches its peak at the time the decision to self-exclude is made. From a longitudinal perspective, various parameters indicate a clear improvement in psychosocial functioning; a favorable effect that also starts directly after the exclusion agreement was signed. Finally, considering theoretical and empirical findings, possibilities for optimizing (self-)exclusion schemes will be discussed.     

At risk of exclusion? Degrees of ICT access and literacy among senior citizens

Drawing on data derived from a nationwide postal survey (n?=?1264) with a simple random sample of Swedes between ages 65 and 85 (response rate: 63%), the article analyses the general patterns of: (a) degrees of information and communication (ICT) access and (b) ICT-literacy among Swedish senior citizens. The overall patterns of access and literacy are analysed in light of senior citizens’ assets – conceptualized as material, discursive and social resources – and their age and gender. The analysis reveals a positive correlation between levels of material (e.g., income), discursive (e.g., English skills) and social (e.g., social networks) resources and access to ICT. With greater resources, the average number of devices increases. The analysis also reveals a positive correlation between discursive and social resources and ICT-literacy. Gender has no bearing on access to devices, but might have some effect on ICT-literacy. The correlation between age, access and literacy is negative. With increasing age, both access and literacy decreases. In this respect, the study reveals a generational effect. However, since all three resources tend to decrease over the life cycle, the results are also discussed in terms of an age effect. These data and our analyses are contextualized by a critical discussion that reflects on the implications of these general patterns: What do they mean for senior citizens’ abilities to be included and participate in a continuously digitalizing society?     

Irregularly observed time series – some asymptotics and the block bootstrap

We consider time series being observed at random time points. In addition to Parzen's classical modelling by amplitude modulating sequences, we state another modelling using an integer-valued sequence as the observation times. Limiting results are presented for the sample mean and are generalized to the class of functions of smooth means. Motivated by the complicated limiting behaviour, (moving) block bootstrap possibilities are investigated. Conditional on the used modelling for the irregular spacings, one is lead to different interpretations for the block length and hence bootstrap approaches. The block length either can be interpreted as the time (resulting in an observation string of fixed length containing a random number of observations) or as the number of observations (resulting in an observation string of variable length containing a fixed number of values). Both bootstrap approaches are shown to be asymptotically valid for the sample mean. Numerical examples and an application to real-world ozone data conclude the study.