Using vulnerability performance indicators to attain food supply chain robustness

High effectiveness and leanness of modern supply chains (SCs) increase their vulnerability, i.e. susceptibility to disturbances reflected in non-robust SC performances. Both the SC management literature and SC professionals indicate the need for the development of SC vulnerability assessment tools. In this article, a new method for vulnerability assessment, the VULA method, is presented. The VULA method helps to identify how much a company would underperform on a specific Key Performance Indicator in the case of a disturbance, how often this would happen and how long it would last. It ultimately informs the decision about whether process redesign is appropriate and what kind of redesign strategies should be used in order to increase the SC's robustness. The applicability of the VULA method is demonstrated in the context of a meat SC using discrete-event simulation to conduct the performance analysis.     

Local Unit Performance in a National Nonprofit Organization

Board members and chief professional officers (CPOs) from the local units of a national nonprofit organization completed questionnaires that revealed (1) statistically significant differences as to what functionsand activities each believes the other should do and does perform, (2) areas of possible tension between boards and their CPOs, and (3) those activities with significant correlations to common performance measures established by the national organization. Both board members and CPOs believe boards should be doing more than they do, with CPOs being more critical of board members than they are of themselves or than board members are of them. There is significant tension between boards and CPOs regarding responsibility for some operational issues. However, neither the presence nor absence of tension was significantly correlated with the effectiveness of the organization. Finally, self‐reported measures of effectiveness correlated with external measures developed by the national organization, providing some evidence that self‐reported measures may be valid.     

Accounting for Social Value in Nonprofits and For‐Profits

The authors argue that social value can serve as a bridge between the nonprofit and for‐profit sectors. They further propose that social value is not simply an abstract concept but can be measured by applying social accounting methods. The authors argue that nonprofits are founded on a social mission but that traditional accounting approaches do not properly assess their social products. They illustrate the centrality of social value, both to nonprofits and for‐profits, in two ways: (1) a discussion of for‐profit firms that behave much like nonprofits and (2) an application of the social accounting model. The authors discuss two types of firms: (1) for‐profits whose shares are held in a trust and therefore operate much like corporations without shareholdersor like nonprofits and (2) for‐profits whose owners do not exercise the rights associated with their property. They then apply a social accounting model to nonprofit employment training programs to illustrate how the inclusion of social variables changes the assessment of an organization's value. They conclude with a discussion of a social accountability framework that embraces both nonprofits and for‐profits.     

Generalized inferences on the common mean vector of several multivariate normal populations

The hypothesis testing and confidence region are considered for the common mean vector of several multivariate normal populations when the covariance matrices are unknown and possibly unequal. A generalized confidence region is derived using the concepts of generalized method based on the generalized p$p$-value. The generalized confidence region is illustrated with two numerical examples. The merits of the proposed method are numerically compared with those of existing methods with respect to their expected area or expected d-dimensional volumes and coverage probabilities under different scenarios.     

The need for research into the effectiveness of international statistical systems and standards

Conclusion In this brief and highly selective examination of the adequacy of ISSS, it is suggested that statistical and economic research is essential if we are to ensure that these systems are fit for their intended purposes. It is too readily assumed that the statistical infrastructure is either adequate or, if not, of little significance in dealing with the major problems faced by the world today. This is far from being so and, if the necessary research were carried out, the results could make an invaluable contribution to resolving many of those problems.     

Concern About Crime Among Montana Farmers and Ranchers1

Abstract The effects of previous victimization, distance from law enforcement and neighbors, and sufficiency of police patrols on fear of crime are estimated using data from Montana farmers and ranchers. Victimization has the strongest direct effect. Distance from police and neighbors seems to heighten sensitivity to lesser police patrol activity in isolated areas, which in turn increases concern about criminal victimization. Fear of crime in rural farm areas reflects, in part, the spatial arrangements and related consequences of living in these regions.     

Communities under fire: Empowering families and children in the aftermath of homicide

This article presents an empowerment approach to clinical services for families and children surviving homicides. Narrative theory is used to integrate child, family and community interventions. The article presents a framework for the examination of narratives and guidelines for co-constructing narratives that empower children, families and communities.     

The ethics of parimutuel systems

One strand of the moral case for the superiority of parimutuel systems of betting over bookmaking emphasises that, as the name implies, the bettors are betting amongst themselves and that there is no discrimination against any individual bettor or groups of bettors. This claim is undermined by three deviations from the pure parimutuel principle found in many systems. Given that there is a close inverse relationship between the income/wealth of bettors and the average odds of the bets they place, the three deviations—higher deductions from long odds (exotic) pools, higher deductions from pools when longer odds horses win and the paying of minimum dividends—each move a parimutuel system in the unethical direction ofregressive taxation.     

The attributable estimand: A new approach to account for intercurrent events

The term “intercurrent events” has recently been used to describe events in clinical trials that may complicate the definition and calculation of the treatment effect estimand. This paper focuses on the use of an attributable estimand to address intercurrent events. Those events that are considered to be adversely related to randomized treatment (eg, discontinuation due to adverse events or lack of efficacy) are considered attributable and handled with a composite estimand strategy, while a hypothetical estimand strategy is used for intercurrent events not considered to be related to randomized treatment (eg, unrelated adverse events). We explore several options for how to implement this approach and compare them to hypothetical “efficacy” and treatment policy estimand strategies through a series of simulation studies whose design is inspired by recent trials in chronic obstructive pulmonary disease (COPD), and we illustrate through an analysis of a recently completed COPD trial.