Point‐of‐Use Hybrid Inventory Policy for Hospitals

Modern point‐of‐use technology at hospitals has enabled new replenishment policies for medical supplies. One of these new policies, which we call the hybrid policy, is currently in use at a large U.S. Midwest hospital. The hybrid policy combines a low‐cost periodic replenishment epoch with a high‐cost continuous replenishment option to avoid costly stockouts. We study this new hybrid policy under deterministic and stochastic demand. We develop a parameter search engine using simulation to optimize the long‐run average cost per unit time and, via a computational study, we provide insights on the benefits (reduction in cost, inventory, and number of replenishments) that hospitals may obtain by using the hybrid policy instead of the commonly used periodic policies. We also use the optimal hybrid policy parameters from the deterministic analysis to propose approximate expressions for the stochastic hybrid policy parameters that can be easily used by hospital management.      

Life-Coaching als Bestandteil von Führungskräfte-Coaching

Executive coaching represents a significant tool of human resources development and is applied to strengthen leadership and management skills. Regardless of specific professional issues on and around the job itself, experience reveals that personal issues should also represent an integral constituent of executive coaching. Indeed, managers do not only encounter professional challenges, but are challenged in their whole personality. Hence, executive coaching expands to life coaching. Based on a specific case study regarding work life balance the following article illustrates how life coaching may successfully be applied in a systematic manner and how the aspects function and human being are mutually dependent.     

Retailer Transshipment versus Central Depot Allocation for Supply Network Design

We consider a supply chain structure with shipments from an external warehouse directly to retailers and compare two enhancement options: costly transshipment among retailers after demand has been realized vs. cost‐free allocation to the retailers from the development of a centralized depot. Stochastic programming models are developed for both the transshipment and allocation structures. We study the impact of cost parameters and demand coefficient of variation on both system structures. Our results show an increasing convex relationship between average costs and demand coefficient of variation, and furthermore that this increase is more pronounced for the allocation structure. We employ simulation and nonlinear search techniques to computationally compare the cost performance of allocation and transshipment structures under a wide range of system parameters such as demand uncertainty and correlation; lead times from the external warehouse to retailers, from warehouse to central depot, and from depot to retailers; and transshipment, holding, and penalty costs. The transshipment approach is found to outperform allocation for a broad range of parameter inputs including many situations for which transshipment is not an economically sound decision for a single period. The insights provided enable the manager to choose whether to invest in reducing lead times or demand uncertainty and assist in the selection of investments across identical and nonidentical retailers.     

Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing events

Safety analyses of adverse events (AEs) are important in assessing benefit–risk of therapies but are often rather simplistic compared to efficacy analyses. AE probabilities are typically estimated by incidence proportions, sometimes incidence densities or Kaplan–Meier estimation are proposed. These analyses either do not account for censoring, rely on a too restrictive parametric model, or ignore competing events. With the non-parametric Aalen-Johansen estimator as the “gold standard”, that is, reference estimator, potential sources of bias are investigated in an example from oncology and in simulations, for both one-sample and two-sample scenarios. The Aalen-Johansen estimator serves as a reference, because it is the proper non-parametric generalization of the Kaplan–Meier estimator to multiple outcomes. Because of potential large variances at the end of follow-up, comparisons also consider further quantiles of the observed times. To date, consequences for safety comparisons have hardly been investigated, the impact of using different estimators for group comparisons being unclear. For example, the ratio of two both underestimating or overestimating estimators may not be comparable to the ratio of the reference, and our investigation also considers the ratio of AE probabilities. We find that ignoring competing events is more of a problem than falsely assuming constant hazards by the use of the incidence density and that the choice of the AE probability estimator is crucial for group comparisons.     

DOING IT WHEN OTHERS DO: A STRATEGIC MODEL OF PROCRASTINATION

This paper develops a strategic model of procrastination in which present‐biased agents prefer to perform an onerous task with someone else. This turns their decision of when to perform the task into a procrastination game—a dynamic coordination game between present‐biased players. The model characterizes the conditions under which interaction mitigates or exacerbates procrastination. A procrastinator matched with a worse procrastinator may perform her task earlier than she otherwise would: she wants to avoid the increased temptation that her peer's company would generate. Procrastinators can thus use bad company as a commitment device to mitigate their self‐control problem. (JEL C72, C73, D03, D91)     

School Readiness of Children of Immigrants: Does Parental Involvement Play a Role?*

Objectives. Using data from the Early Childhood Longitudinal Survey—Kindergarten Cohort, this article analyzes the link between parental involvement and the school readiness of children of immigrants. Methods. Multivariate regression models estimate the association between parental involvement and the school readiness in English proficiency and math scores of children of immigrants. They also estimate the impact of this association on the gap in math scores between children of immigrants and children of natives. Results. Results demonstrate that parental involvement is associated with an increase in the level of English proficiency for children of immigrants. Parental involvement also is associated with a decrease in the gap in math scores between immigrant children from English‐ and non‐English‐speaking backgrounds. Parental involvement decreases the gap in math scores between children of immigrants and children of the native born by a third of a standard deviation. Conclusion. Given that parental involvement appears to benefit children of immigrants and given that they have lower academic achievement than children of the native born, these findings suggest that parental involvement policies and practices targeting children of immigrants could help decrease the academic achievement gap between children of immigrants and children of the native born.     

Die Einführung von Mitarbeiter/innengesprächen an österreichischen Universitäten

The introduction of staff appraisal interviews in Austrian Universities This paper addresses the issue of the obligatory introduction of staff appraisal interviews in the Austrian higher education system after the implementation the law ?UG 2002“ (University Law 2002). It focuses on the cultural change process from the old university management system to a nowadays prevalent ?management by objectives“. After the introduction of the ?UG 2002“ Austrian Universities are forced to be more competitive with one another, hence an academic market is opened. Ultimately this leads to a cultural break. This is the reason why we discuss the possibilities and limitations of the implementation of appraisal interviews and target agreements from different angles. The diverse perspectives will be a theory of communication, a theory of organizations and a psychodynamic standpoint.     

A continuous rating method for preferential voting: the complete case

A method is given for quantitatively rating the social acceptance of different options which are the matter of a complete preferential vote. Completeness means that every voter expresses a comparison (a preference or a tie) about each pair of options. The proposed method is proved to have certain desirable properties, which include: the continuity of the rates with respect to the data, a decomposition property that characterizes certain situations opposite to a tie, the Condorcet?CSmith principle, and clone consistency. One can view this rating method as a complement for the ranking method introduced in 1997 by Markus Schulze. It is also related to certain methods of cluster analysis and one-dimensional scaling.     

Multivariate regression analysis of panel data with binary outcomes applied to unemployment data

Summary  In panel studies binary outcome measures together with time stationary and time varying explanatory variables are collected over time on the same individual. Therefore, a regression analysis for this type of data must allow for the correlation among the outcomes of an individual. The multivariate probit model of Ashford and Sowden (1970) was the first regression model for multivariate binary responses. However, a likelihood analysis of the multivariate probit model with general correlation structure for higher dimensions is intractable due to the maximization over high dimensional integrals thus severely restricting ist applicability so far. Czado (1996) developed a Markov Chain Monte Carlo (MCMC) algorithm to overcome this difficulty. In this paper we present an application of this algorithm to unemployment data from the Panel Study of Income Dynamics involving 11 waves of the panel study. In addition we adapt Bayesian model checking techniques based on the posterior predictive distribution (see for example Gelman et al. (1996)) for the multivariate probit model. These help to identify mean and correlation specification which fit the data well. C. Czado was supported by research grant OGP0089858 of the Natural Sciences and Engineering Research Council of Canada.     

Working and caring for a disabled adopted child during a pandemic

Integrating work and family demands can be challenging for families caring for a child with one or more disabilities. The pandemic and its changes to work, schooling and service delivery potentially added to these challenges. This exploratory mixed methods study sought to understand how the pandemic affected adoptive parents' work–life fit and service use. A total of 200 participants responded to survey questions about parenting an adopted child with a disability prior to, and after, the onset of Covid-19. More than half of the parents (59.2%) reported that it was somewhat to very difficult to integrate both work and family demands. Parents with greater access to workplace flexibility and supportive supervisors had significantly less difficulties combining work and family. Families who reported more problems with accessing mental health services, special education and respite care reported significantly more challenges with work–family fit. Parents reported increased stress due to the pandemic changes, but many also shared positive changes such as more time for family. Online services were experienced as effective for some children and reduced time spent driving to appointments. Recommendations for workplace and social service practice and policy supporting adoptive parents of children with disabilities are discussed.