Anger displays and integrative behavior among work dyads in teams:A regulatory fit approach

Anger has often been portrayed as a destructive social emotion in the literature. However, research conducted with a social functional approach has also revealed the functionality of anger and called for a shift toward understanding the conditions in which anger can have interpersonal utility at work. Given the complicated role and inevitability of anger in work teams, it is important to understand when team members can reap the interpersonal utility of anger and promote adaptive social interactions. Contributing to this approach, we developed a contingency model to postulate when and why anger displays can produce integrative behavior among co-worker dyads in teams. Drawing on regulatory fit theory we conducted three studies (one laboratory study and two field studies with a round-robin design) to examine our hypotheses. Results indicated that co-workers' anger displays were positively related to focal workers' (targets of anger) integrative behavior toward angry co-workers (expressers) when targets had a high level of prevention focus and perceived a low level of team goal interdependence. As expected, moreover, targets' problem identification with expressers was found to be the mechanism of this conditional relationship. Implications of our research are discussed

A multilevel model of transformational leadership, affect, and creative process behavior in work teams

We develop a multilevel model to explain how affect and transformational leadership (TFL) influence team creative process behavior. We theorize, in particular, that a dual-level model of TFL, which incorporates both individual-focused TFL (addressing the individual differences of team members) and group-focused TFL (addressing the team as a whole) underlies affect–creativity relationships. We argue moreover that these effects exist across three conceptual levels: (1) within-person, (2) interpersonal, and (3) group. We conclude with a discussion of the theoretical implications and limitations of our model and suggest potential avenues for future research

Conceptualizing pathways linking women's empowerment and prematurity in developing countries.

BackgroundGlobally, prematurity is the leading cause of death in children under the age of 5. Many efforts have focused on clinical approaches to improve the survival of premature babies. There is a need, however, to explore psychosocial, sociocultural, economic, and other factors as potential mechanisms to reduce the burden of prematurity. Women's empowerment may be a catalyst for moving the needle in this direction. The goal of this paper is to examine links between women's empowerment and prematurity in developing settings. We propose a conceptual model that shows pathways by which women's empowerment can affect prematurity and review and summarize the literature supporting the relationships we posit. We also suggest future directions for research on women's empowerment and prematurity.MethodsThe key words we used for empowerment in the search were "empowerment," "women's status," "autonomy," and "decision-making," and for prematurity we used "preterm," "premature," and "prematurity." We did not use date, language, and regional restrictions. The search was done in PubMed, Population Information Online (POPLINE), and Web of Science. We selected intervening factors-factors that could potentially mediate the relationship between empowerment and prematurity-based on reviews of the risk factors and interventions to address prematurity and the determinants of those factors.ResultsThere is limited evidence supporting a direct link between women's empowerment and prematurity. However, there is evidence linking several dimensions of empowerment to factors known to be associated with prematurity and outcomes for premature babies. Our review of the literature shows that women's empowerment may reduce prematurity by (1) preventing early marriage and promoting family planning, which will delay age at first pregnancy and increase interpregnancy intervals; (2) improving women's nutritional status; (3) reducing domestic violence and other stressors to improve psychological health; and (4) improving access to and receipt of recommended health services during pregnancy and delivery to help prevent prematurity and improve survival of premature babies.ConclusionsWomen's empowerment is an important distal factor that affects prematurity through several intervening factors. Improving women's empowerment will help prevent prematurity and improve survival of preterm babies. Research to empirically show the links between women's empowerment and prematurity is however needed

Delegated job design

We develop a theory of delegation within organizations where agents are privately informed about whether they should be engaged in exploitation or in exploration activities. Excessive delegation lead agents to inefficiently herd into exploration in an attempt to boost their market value. The theory is consistent with both high-delegation practices and practices where agents are assigned to activities. Our main result is that an agent should be delegated more the weaker career concerns, a variable that is made endogenous through the firm's technology and its degree of transparency. The theory sheds light on empirical regularities that are previously unexplained, such as a positive relation between wages and delegation, and delegation being more prevalent in closed environments or environments with long-term employment contracts

A measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel'dovich effect with SPT-3G and DES

We infer the mean optical depth of a sample of optically-selected galaxy clusters from the Dark Energy Survey (DES) via the pairwise kinematic Sunyaev-Zel'dovich (kSZ) effect. The pairwise kSZ signal between pairs of clusters drawn from the DES Year-3 cluster catalog is detected at $4.1 \sigma$ in cosmic microwave background (CMB) temperature maps from two years of observations with the SPT-3G camera on the South Pole Telescope. After cuts, there are 24,580 clusters in the $\sim 1,400$ deg$^2$ of the southern sky observed by both experiments. We infer the mean optical depth of the cluster sample with two techniques. The optical depth inferred from the pairwise kSZ signal is $\bar{\tau}_e = (2.97 \pm 0.73) \times 10^{-3}$, while that inferred from the thermal SZ signal is $\bar{\tau}_e = (2.51 \pm 0.55^{\text{stat}} \pm 0.15^{\rm syst}) \times 10^{-3}$. The two measures agree at $0.6 \sigma$. We perform a suite of systematic checks to test the robustness of the analysis

Lensing Without Borders. I. A Blind Comparison of the Amplitude of Galaxy-Galaxy Lensing Between Independent Imaging Surveys

Lensing Without Borders is a cross-survey collaboration created to assess the consistency of galaxy-galaxy lensing signals ($\Delta\Sigma$) across different data-sets and to carry out end-to-end tests of systematic errors. We perform a blind comparison of the amplitude of $\Delta\Sigma$ using lens samples from BOSS and six independent lensing surveys. We find good agreement between empirically estimated and reported systematic errors which agree to better than 2.3$\sigma$ in four lens bins and three radial ranges. For lenses with $z_{\rm L}>0.43$ and considering statistical errors, we detect a 3-4$\sigma$ correlation between lensing amplitude and survey depth. This correlation could arise from the increasing impact at higher redshift of unrecognised galaxy blends on shear calibration and imperfections in photometric redshift calibration. At $z_{\rm L}>0.54$ amplitudes may additionally correlate with foreground stellar density. The amplitude of these trends is within survey-defined systematic error budgets which are designed to include known shear and redshift calibration uncertainty. Using a fully empirical and conservative method, we do not find evidence for large unknown systematics. Systematic errors greater than 15% (25%) ruled out in three lens bins at 68% (95%) confidence at $z<0.54$. Differences with respect to predictions based on clustering are observed to be at the 20-30% level. Our results therefore suggest that lensing systematics alone are unlikely to fully explain the "lensing is low" effect at $z<0.54$. This analysis demonstrates the power of cross-survey comparisons and provides a promising path for identifying and reducing systematics in future lensing analyses.Comment: 41 page, 20 figure