Getting tuned in to those who are different: The role of empathy as mediator between diversity and performance

We present a theoretical model on the processes that mediate and moderate the diversity-performance relationship. Past research on this topic—for example the categorization elaboration model (van Knippenberg et al. 2004)—has often focused on information elaboration as mediator. Complementing this cognitive perspective, we propose that group diversity can also stimulate group members to engage with each other emotionally, resulting in higher levels of empathy—an emotional state which arises from the comprehension and apprehension of fellow group members’ emotional state. Empathy, in turn, is likely to enhance performance through processes within a single group member and through processes between group members. At the core of the model lies the proposition that group- as well as individual-level empathy mediate the relationship between diversity of organizational units and the performance of individual members and groups at large (multilevel mediation). Furthermore, we specify moderating conditions for the relationship between diversity and empathy. Diversity beliefs and diversity climates are introduced as second-order moderators.     

Tenure Profiles and Efficient Separation in a Stochastic Productivity Model

We develop a theoretical model based on efficient bargaining, where both log outside productivity and log productivity in the current job follow a random walk. This setting allows the application of real option theory. We derive the efficient worker-firm separation rule. We show that wage data from completed job spells are uninformative about the true tenure profile. The model is estimated on the Panel Study of Income Dynamics. It fits the observed distribution of job tenures well. Selection of favorable random walks can account for the concavity in tenure profiles. About 80% of the estimated wage returns to tenure is due to selectivity in the realized outside productivities.     

Dividend yield and stability versus performance on the German stock market: a descriptive study

It is often examined in the literature whether the dividend yields of stocks correlate with their total returns. This paper analyzes the effect of dividend yield on return as well as on risk and on performance of stocks and stock portfolios on the German market. Not only the influence of dividend yield but also of dividend stability is subject to our analysis. Furthermore, tax aspects are considered. However, this study should rather be seen as an empirical analysis of the influence of dividends as a capital market anomaly than a theoretical based validation approach. Our data set comprises daily adjusted stock prices and dividend payment data from the German capital market over the period 3 January 2000–31 July 2008. This period was characterized by a high volatility of the stock market. In addition to the existing literature examining mainly the long-term influence of dividend yields, we also want to find out whether stocks with high and stable dividend payments are able to reduce the risk of a stock investment in short time periods characterized by extreme conditions. We use blue chips (DAX), stocks of medium-sized companies (MDAX), and stocks of technology firms (TecDAX). Our findings suggest that stock performance generally improves with an increasing dividend yield, where this result is actually based on risk reduction instead of a higher return. However, this risk reduction diminishes with an increasing degree of diversification.     

An axiomatic approach to predictability of outcomes in an interactive setting

This article is an axiomatic approach to the problem of ranking game forms in terms of the predictability they offer to individuals. Two criteria are proposed and characterized, the CardMin and the CardMax. Both compare game forms on the basis of the number of distinct outcomes that can result from the choice of a CardMin (resp. CardMax) strategy. The CardMin (resp. CardMax) strategy is defined as a strategy leading to the smallest (resp. highest) number of different outcomes. In both cases, the lower these numbers the better the game form.     

‘We feel the responsibility that you shirk’: movement institutionalization,the politics of responsibility and the case of the Swedish environmental movement

This article provides directions for advancing the conceptualization of the relationship between social movements and institutionalization, based on a case study of the Swedish environmental movement strategies. We argue that the concepts of (de)responsibilization and (de)politicization provide tools for an improved analysis of the dynamics of how social movements interact both with established political institutions and corporations in a new context. The introduction of new regulatory frameworks in environmental politics has shaped interaction between social movements and the state in new ways, involving neoliberal responsibilization, meaning active involvement by civil society and business in political responsibilities previously associated with state agencies – a development involving an increasing emphasis on market mechanisms. We argue that this has involved a de-politicization of environmental issues in the sense that it engages political actors in a moral discourse and a technocratic practice that suppresses the (potential) articulation of social conflict through consensus building. However, we also show how movement actors resist the discourse that encourages them to take on certain responsibilities, thus engaging in a politics of responsibility. Empirically, we demonstrate how the changing strategies of the Swedish environmental movement in the 2000s need to be understood in relation to the following processes, indicating that the Swedish case has a general relevance for an understanding of the contemporary environmental movement globally: (1) the transformation of the Swedish model of welfare capitalism under the influence of neoliberal discourse; (2) international environmental policy developments, most importantly the emergence of climate change as a dominant issue globally.     

The Value of South and Southeast Asian Studies Journal Rankings

Abstract

This article ranks South and Southeast Asian Studies journals along three categories—quality, efficiency, and impact. The ranking summarizes the results of a survey sent to an international sample of South and Southeast Asian Studies scholars. This study is valuable in three ways: as a decision making tool for the South and Southeast Asian Studies academic community, as an evaluation of methodology in journal ranking studies, and as a discussion of the value of journal rankings studies to assessment and evaluation in higher education generally.     

Negative situation appraisal and mental well-being among refugees in Germany: Serial mediation by religious coping and sense of coherence

It has been widely demonstrated that pre- and post-migration experiences can be highly traumatic for refugees. The purpose of this study was to assess the mediating effects of religious coping and sense of coherence on the association of negative dysfunctional situation appraisal and mental well-being among refugees. Paper surveys were completed by 600 people representing various refugee groups (mostly from Mashreq Countries) in German Bavaria, aged 18–65. Mediation analysis revealed that negative religious coping and sense of coherence singly and serially mediated the relationship between negative dysfunctional situation appraisal and well-being, whereas positive religious coping did not have statistically significant relationships with these variables. The data obtained suggest that the negative religious coping style and sense of coherence are two important targets for future experimental studies, and interventions on them may bring the synergistic effect on improving mental well-being in refugees.     

Nonparametric estimation of the link function including variable selection

Nonparametric methods for the estimation of the link function in generalized linear models are able to avoid bias in the regression parameters. But for the estimation of the link typically the full model, which includes all predictors, has been used. When the number of predictors is large these methods fail since the full model cannot be estimated. In the present article a boosting type method is proposed that simultaneously selects predictors and estimates the link function. The method performs quite well in simulations and real data examples.