Religion und Bildungserfolg im Migrationskontext – Theoretische Argumente,empirische Befunde und offene Fragen

Religion has received extensive attention as a factor influencing immigrants’ integration. This paper examines the role of religion in explaining ethnic educational inequalities in Germany. Due to a general lack of research in this field, the paper provides an overview of existing empirical findings, specifies theoretical arguments on how religious affiliation, belief and participation possibly affect educational achievement among children of immigrants. Using data from the first wave of the “Children of Immigrants Longitudinal Survey in four European Countries” collected in 2010/11 the paper tests key arguments on the influence of religion on the educational attainment among 14-year-old immigrant and non-immigrant students at German schools. Compared to other religious groups, Muslims display lower rates of educational achievement. However, this can be largely explained by their social background and is independent from their levels of individual religiosity. Interestingly, individual religiosity has a positive effect on the educational achievement among Protestant students, whether with or without a migration background.     

The Viability of Career Maturity Theory: A Developmental—Contextual Perspective

The critical role of the timing of person—context interactions is important in the conceptualization of the school-to-work transition. It is argued that career maturity, with its focus on the individual and its ties to stage models and notions of age-appropriateness, gives insufficient attention to the particular contexts of time and culture within which it may be observed. The use of recent advances in developmental theory is suggested as a viable alternative for understanding developmental transitions. Findings from the research literature and from a recent study of young adults from former East Germany and former West Germany are cited in support of this proposal. These findings highlight limitations of the construct of career maturity in showing how individual differences and contextual factors contribute to the school-to-work transition in contrasting environments of former East and West Germany.     

Religion und Gesellschaft – Aktuelle Perspektiven

Increasing public attention to religious questions has in the past years re-invigorated the sociology of religion. As an introduction to the present special issue we outline some institutional and intellectual developments of German language sociology of religion since the post-war period. We furthermore highlight five current trends of the subdiscipline that pertain to the concept of religion, to debates over secularization, to methodological questions of sociological explanation, to interdisciplinary research on religions under conditions of globalization, and to the refinement of quantitative as well as qualitative research methods. Having argued that these trends attest to an increasingly global-comparative approach, we conclude with some research perspectives for future sociology of religion.     

Frame Correction Modelling with Applications to the German Register‐Assisted Census 2011

Frame corrections have been studied in census applications for a long time. One very promising method is dual system estimation, which is based on capture–recapture models. These methods have been applied recently in the USA, England, Israel and Switzerland. In order to gain information on subgroups of the population, structure preserving estimators can be applied [i.e. structure preserving estimation (SPREE) and generalized SPREE]. The present paper extends the SPREE approach with an alternative distance function, the chi‐square. The new method has shown improved estimates in our application with very small domains. A comparative study based on a large‐scale Monte Carlo simulation elaborates on advantages and disadvantages of the estimators in the context of the German register‐assisted Census 2011.     

Estimation and regularization techniques for regression models with multidimensional prediction functions

Boosting is one of the most important methods for fitting regression models and building prediction rules. A notable feature of boosting is that the technique can be modified such that it includes a built-in mechanism for shrinking coefficient estimates and variable selection. This regularization mechanism makes boosting a suitable method for analyzing data characterized by small sample sizes and large numbers of predictors. We extend the existing methodology by developing a boosting method for prediction functions with multiple components. Such multidimensional functions occur in many types of statistical models, for example in count data models and in models involving outcome variables with a mixture distribution. As will be demonstrated, the new algorithm is suitable for both the estimation of the prediction function and regularization of the estimates. In addition, nuisance parameters can be estimated simultaneously with the prediction function.     

Simple subcontracting rules for make-to-order shops with limited subcontractor capacity: an assessment by simulation

Companies that produce a high variety of customised products often suffer from large fluctuations in demand. Subcontracting can be an important means of overcoming resulting capacity shortages during high demand periods. A set of effective subcontracting rules, for determining which jobs to subcontract and which to produce internally, has recently been presented in the literature for this type of company. But evaluations of these rules have assumed subcontractor capacity is infinite. This study examines the impact of limited subcontractor capacity on the performance of the three best-performing subcontracting rules for make-to-order companies using a simulation model of an assembly job shop. Limiting subcontractor capacity inhibits the ability of a subcontracting rule to protect the internal shop from surges in demand, which negatively affects performance. However, significant performance differences between the rules evaluated are maintained, which underlines the importance of choosing the right subcontracting rule. Further analysis reveals that a limit on the work that can be subcontracted leads to less work being subcontracted more often, which requires adequate response by management. Meanwhile, the assumption of infinite capacity results in sporadically subcontracting a large amount of work. The results have important implications for future research and practice.     

Effects of data breaches from user-generated content: A corporate reputation analysis

A threat for a growing number of firms in various industries is the occurrence of different breaches of sensitive corporate data. These critical events represent vulnerability for firms' corporate reputations, whose multiple dimensions are affected by customers negative perceptions in various ways. Further, in the Industry 4.0 era, the redundancy of scandals on social media can exacerbate negative effects. This paper reports an investigation into the effects of data breaches on corporate reputation dimensions. In this context, the study conducted latent Dirichlet allocation analysis on social media user-generated content (UGC) for a sample of 35 firms in nine industries that suffered a data breach incident between 2013 and 2016. Incidents have been categorized into three categories: “intentional and internal,” “unintentional and internal,” and “intentional and external” data breaches. The aim of the study was to discover how reputational dimensions changed after these critical events and to identify the differences among the types of data breaches.Results reveal that after critical events, more reputational dimensions appear to be relevant. While before critical events, users typically discuss the “perceived quality” of a firm's offer, after all three types of data breaches, users also pay attention to “customer orientation” and “corporate performance” dimensions. Another key reputation dimension, especially after intentional and internal data breaches, is the “firm as employer,” particularly in the context of a lack of investment in training regarding these events.These findings provide key insights for academics and practitioners to understand large-scale data breaches effects and reputational drawbacks after such incidents.     

Phthalate Exposure Through Food and Consumers' Risk Perception of Chemicals in Food

Phthalates have been detected in various types of retail foods. Consumers' exposure to phthalates is common. Consumers are concerned about chemicals in food. Our aim was to investigate the relationships between consumers' exposure to phthalates through food, consumers' interest in a natural and healthy diet, risk perception of food chemicals, and consumers' diet patterns. We collected data through a mail survey in the adult Swiss-German population ( N  = 1,200). We modeled exposure to di(2-ethylhexyl) phthalate (DEHP), dibutyl phthalate (DBP), benzyl butyl phthalate (BBP), and diethyl phthalate (DEP) based on a food frequency questionnaire and phthalate concentrations reported from food surveys. Using rating scales, we assessed risk perceptions of chemicals in food and interest in a natural and healthy diet. Higher risk perceptions and higher natural and healthy diet interest were associated with higher daily doses of DEHP, BBP, and DEP. No health risk from phthalates in food was identified for the vast majority of the population. Four consumers' diet clusters were discerned, with differences in phthalate exposure, risk perceptions, and interest in a natural and healthy diet. This study shows that even those consumers who express strong interest in natural food and low acceptance of food chemicals, and who try to make respective food choices, are exposed to contaminants such as phthalates.     

Authentic leadership and leaders' mental well-being: An experience sampling study

Research on authentic leadership has yielded important insights about its effects on subordinates. However, its consequences for the leaders themselves remain largely unexamined. This is problematic, as organizations require their leaders to provide guidance and leaders' mental well-being is a prerequisite for this. Drawing on the theories of ego-depletion and authentic leadership, we investigate the role of authentic leadership in predicting leaders' mental well-being. In an experience sampling study, we apply hierarchical linear modeling to analyze 396 observations from 44 executives. Our multilevel moderated mediation analyses reveal that authentic leadership reduces leaders' stress and increases their work engagement and that these effects are mediated by leader mental depletion. Moreover, we show that the indirect effects are contingent on the extent to which leaders interact with their subordinates: authentic leaders deplete less with increasing follower interaction, while inauthentic leaders deplete less with decreasing follower interaction.