Leader behaviors and career derailment potential: A multi-analytic method examination of rating source and self–other agreement

Based on extensive research that views leadership as a multi-faceted phenomenon, we examined how the relationships between task-oriented and relationship-oriented leader behaviors and career derailment potential vary by observer perspective. We present findings using three different analytical techniques: random coefficient modeling (RCM), relative weight analysis (RWA), and polynomial regression (PR). RCM findings suggest that self-, direct report, peer, and supervisor ratings of leader behaviors differ and are associated with career derailment potential. RWA results indicate that self-ratings matter the least, whereas peer ratings of leader behaviors typically matter the most in predicting career derailment potential. PR analyses indicate that career derailment potential is lowest when self-ratings are lower than other ratings of leader behaviors and/or when self–other ratings converge on higher, rather than lower, ratings of leader behaviors. Implications for leadership and self–other agreement research and professional practice are discussed.     

Smart Devices in Organisationen – Von Regelungen für die Allgegenwärtigkeit von computergestützter Kommunikation

Mobile communication devices like smart phones are keystones for improving efficiency, compacting and subjectifying work. They dissolve boundaries in multiple ways and influence organization of work alike exhaustion and recreation. Legal regulations are not implemented in organizations or do not fit. Organizations find it difficult even to find rules, because there are many contradictions. Nevertheless, it is for organizations in both competition concerns as issues of workplace health promotion advisable to conduct clarification processes to availability times. Consulting can support negotiation processes.     

Consumer Deception or Unwarranted Product Disparagement? The Case of Lean,Finely Textured Beef

When celebrity chef Jamie Oliver used his television presence to denounce the inclusion of lean, finely textured beef (LFTB) in ground beef products sold to consumers and present in school lunches, a firestorm of protests ensued. Ultimately, processing plants were closed, employees laid off, school lunch programs were changed to exclude LFTB from their menus, and large retailers such as Costco and Walmart refused to sell products containing LFTB. Calls for mandatory labeling were proposed in Congress, the argument being that consumers had a right to know what was in the beef they were purchasing and feeding their families. Dubbed “pink slime” by its critics, LFTB is treated, processed beef renderings that are derived from trimmings that would otherwise be discarded or used for some inferior purpose such as animal food. This article chronicles the events surrounding the LFTB controversy, briefly reviews scientific evidence pertaining to its safety, and reviews public policy initiatives in the wake of public protests.     

The Multi-method Comprehensive Review: Synthesis and Analysis when Scholarship is International,Interdisciplinary, and Immense

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This article presents a new strategy for reviewing large, multidisciplinary academic literatures: a multi-method...     

Variable selection for survival data with a class of adaptive elastic net techniques

The accelerated failure time (AFT) models have proved useful in many contexts, though heavy censoring (as for example in cancer survival) and high dimensionality (as for example in microarray data) cause difficulties for model fitting and model selection. We propose new approaches to variable selection for censored data, based on AFT models optimized using regularized weighted least squares. The regularized technique uses a mixture of \(\ell _1\) and \(\ell _2\) norm penalties under two proposed elastic net type approaches. One is the adaptive elastic net and the other is weighted elastic net. The approaches extend the original approaches proposed by Ghosh (Adaptive elastic net: an improvement of elastic net to achieve oracle properties, Technical Reports 2007) and Hong and Zhang (Math Model Nat Phenom 5(3):115–133 2010), respectively. We also extend the two proposed approaches by adding censoring observations as constraints into their model optimization frameworks. The approaches are evaluated on microarray and by simulation. We compare the performance of these approaches with six other variable selection techniques-three are generally used for censored data and the other three are correlation-based greedy methods used for high-dimensional data.     

Child Characteristics,Parenting Stress,and Parental Involvement: Fathers Versus Mothers

This study examined variations in the relationships among child characteristics, parenting stress, and parental involvement. Participants were 100 two‐parent families with preschool‐aged children. Self‐report and interview data were collected to measure parental involvement, as well as perceptions of child temperament and parental stress. Analyses revealed significant, yet somewhat different, associations between child temperament and parental stress for mothers and fathers. More significant associations were found between perceptions of child temperament and involvement for fathers than for mothers. The associations between child temperament and parental stress and involvement differed on the basis of child and parent gender. Results are discussed in terms of future research on father involvement, as well as programs designed to encourage fathers to assume more active parental roles.     

Testing Fair Wage Theory

Fairness considerations often are invoked to explain wage differences that appear unrelated to worker characteristics or job conditions, but non-experimental tests of fair wage models are rare because market data rarely permit researchers to measure individual workers’ productivity and its value. We use data from the baseball labor market to address this problem, and find no support for fair wage theory. We do find, however, that fairness premia can be illusory: Wages appear to incorporate fairness premia in regressions that control for variation in individuals’ physical output, but such premia evaporate when the value of that output is held constant.

Strong convergence rates of probabilistic integrators for ordinary differential equations

Probabilistic integration of a continuous dynamical system is a way of systematically introducing discretisation error, at scales no larger than errors introduced by standard numerical discretisation, in order to enable thorough exploration of possible responses of the system to inputs. It is thus a potentially useful approach in a number of applications such as forward uncertainty quantification, inverse problems, and data assimilation. We extend the convergence analysis of probabilistic integrators for deterministic ordinary differential equations, as proposed by Conrad et al. (Stat Comput 27(4):1065–1082, 2017. https://doi.org/10.1007/s11222-016-9671-0), to establish mean-square convergence in the uniform norm on discrete- or continuous-time solutions under relaxed regularity assumptions on the driving vector fields and their induced flows. Specifically, we show that randomised high-order integrators for globally Lipschitz flows and randomised Euler integrators for dissipative vector fields with polynomially bounded local Lipschitz constants all have the same mean-square convergence rate as their deterministic counterparts, provided that the variance of the integration noise is not of higher order than the corresponding deterministic integrator. These and similar results are proven for probabilistic integrators where the random perturbations may be state-dependent, non-Gaussian, or non-centred random variables.