Bridging transformational leadership,transparent communication,and employee openness to change: The mediating role of trust

Based on a random sample of employees (n = 439) in the United States, this study examined the effect of transformational leadership and transparent organizational communication on cultivating employee organizational trust during an organizational change event. We also investigated the interplay between transformational leadership, transparent communication, and organizational trust, and their impact on employee openness to change. The findings suggested that transformational leadership and transparent communication were positively associated with employee organizational trust, which in turn, positively influenced employee openness to change. Theoretical and managerial contributions of the study were discussed.     

Explicit Verbal Sexual Consent Communication: Effects of Gender,Relationship Status,and Type of Sexual Behavior

Objectives: College students believe that they are supposed to be explicit and verbal in their sexual consent communication. We examined various contexts to determine when sexual consent is likely to be communicated explicitly and verbally. Method: We surveyed U.S. college students’ (n?=?707) sexual consent communication. Results: We identified contexts when explicit verbal consent cues are less likely—when the person is a woman, when the sexual relationship is casual, and when the sexual behavior is not vaginal-penile intercourse. Conclusions: If sexual consent is contextual, that means communicating consent should not ever be taken for granted.     

Re‐Writing Corporate Environmentalism: Ecofeminism,Corporeality and the Language of Feeling

For ecofeminism, the rationalist and instrumentalist responses of most corporations to multiple ecological crises are characteristic of a ‘logic of patriarchy’ based on interrelated and cross‐cutting dualisms that support the subordination of nature and other oppressed groups. Dualisms such as culture/nature, reason/body justify corporate denial or appropriation of the feminine, the maternal and nature. Combining ecofeminist philosophy and the work of Helene Cixous, the paper suggests that a subversive approach utilizing embodied, poetic writing could begin to move corporations, and those who work with and in them, to value feeling and organic embeddedness and encourage a more ecocentric engagement with the world.     

Subsampling,symmetrization, and robust interpolation

The recently developed subsampling methodology has been shown to be valid for the construction of large-sample confidence regions for a general unknown parameter 9 under very minimal conditions. Nevertheless, in some specific cases—e.g. in the case of the sample mean of i.i.d. data—it has been noted that the subsampling distribution estimator underperforms as compared to alternative estimators such as the bootstrap or the asymptotic normal distribution (with estimated variance). In the present report we introduce a (partially) symmetrized.     

Comparison of Risk Predicted by Multiple Norovirus Dose–Response Models and Implications for Quantitative Microbial Risk Assessment

The application of quantitative microbial risk assessments (QMRAs) to understand and mitigate risks associated with norovirus is increasingly common as there is a high frequency of outbreaks worldwide. A key component of QMRA is the dose–response analysis, which is the mathematical characterization of the association between dose and outcome. For Norovirus, multiple dose–response models are available that assume either a disaggregated or an aggregated intake dose. This work reviewed the dose–response models currently used in QMRA, and compared predicted risks from waterborne exposures (recreational and drinking) using all available dose–response models. The results found that the majority of published QMRAs of norovirus use the ₁F₁ hypergeometric dose–response model with α = 0.04, β = 0.055. This dose–response model predicted relatively high risk estimates compared to other dose–response models for doses in the range of 1–1,000 genomic equivalent copies. The difference in predicted risk among dose–response models was largest for small doses, which has implications for drinking water QMRAs where the concentration of norovirus is low. Based on the review, a set of best practices was proposed to encourage the careful consideration and reporting of important assumptions in the selection and use of dose–response models in QMRA of norovirus. Finally, in the absence of one best norovirus dose–response model, multiple models should be used to provide a range of predicted outcomes for probability of infection.     

Is there gender symmetry in intimate partner violence?

‘Gender symmetry’ is one of the most topical and controversial debates in the contemporary domestic violence literature. National survey data, particularly from the USA, has been utilized to support the concept of gender symmetry of violence between intimate partners. Both these statistics and the reliability of the methodologies used to obtain this data have been the focus of fierce criticism in the domestic violence literature. These debates have spread into the general media and now influence social workers' and students' understanding of violence between intimate partners. Recent work, however, has suggested helpful typologies for a better understanding of intimate partner violence (IPV), and research has explored their validity. A comprehensive understanding of the implications of these debates is important for safe social work interventions as assessments and interventions must be based on an accurate understanding of the aetiology, dynamics and consequences of violence between intimate partners. It is important that practitioners are aware of the background to and complexity of these debates and the ongoing work on typologies of violence, as such understanding will enhance assessments and thereby ensure more appropriate social work interventions. This paper traces the debates and outlines the new developments, which can enhance assessments and understanding of IPV.     

A Simple New Algorithm for Quadratic Programming with Applications in Statistics

Problems involving estimation and inference under linear inequality constraints arise often in statistical modeling. In this article, we propose an algorithm to solve the quadratic programming problem of minimizing for positive definite Q, where is constrained to be in a closed polyhedral convex cone , and the m × n matrix is not necessarily full row rank. The three-step algorithm is intuitive and easy to code. Code is provided in the R programming language.