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.     

The Case Study of Los Angeles City & County Fraud,Embezzlement and Corruption Safeguards during times of pandemic

Public Organization Review - This exploratory qualitative case study analyzes the risks of misappropriation of COVID-19 relief funds managed by public agencies in the County of Los Angeles. This...     

Trade openness and manufacturing growth in Malaysia

This study investigates the long-run relationship between trade openness and manufacturing growth and further assesses the causal relationship between these variables. Contrary to some scholars belief that at national level, openness does not contribute to growth in Malaysia, our sector specific analysis suggest otherwise. In this aspect, we believe that in any attempt to establish relationship between openness and growth, the analysis should be sector specific since it is more relevant as well as assures a meaningful insight for policy makers. The results suggest that in the long-run, trade openness is positively related to manufacturing growth in Malaysia. Furthermore, the results also suggest that openness should be viewed as the long term policy initiative for the sector to benefit. Therefore, the policy direction for Malaysian manufacturing sectors should focus on long term trade openness policies. Nevertheless, to ensure sustainability, emphasis should be placed on how (which manufacturing sub-sectors) or when openness is actually important. Importantly, policy makers and scholars should understand that leveraging the benefits of openness also depend on whether the liberalized sector has the comparative advantage.     

Pitfalls in using Weibull tailed distributions

By assuming that the underlying distribution belongs to the domain of attraction of an extreme value distribution, one can extrapolate the data to a far tail region so that a rare event can be predicted. However, when the distribution is in the domain of attraction of a Gumbel distribution, the extrapolation is quite limited generally in comparison with a heavy tailed distribution. In view of this drawback, a Weibull tailed distribution has been studied recently. Some methods for choosing the sample fraction in estimating the Weibull tail coefficient and some bias reduction estimators have been proposed in the literature. In this paper, we show that the theoretical optimal sample fraction does not exist and a bias reduction estimator does not always produce a smaller mean squared error than a biased estimator. These are different from using a heavy tailed distribution. Further we propose a refined class of Weibull tailed distributions which are more useful in estimating high quantiles and extreme tail probabilities.     

The Impact of Childhood Sexual Abuse on Later Sexual Victimization among Runaway Youth

Path analysis was used to investigate the impact of childhood sexual abuse on later sexual victimization among 372 homeless and runaway youth in Seattle. Young people were interviewed directly on the streets and in shelters by outreach workers in youth service agencies. High rates of both childhood sexual abuse and street sexual victimization were reported, with females experiencing much greater rates compared with their male counterparts. Early sexual abuse in the home increased the likelihood of later sexual victimization on the streets indirectly by increasing the amount of time at risk, deviant peer affiliations, participating in deviant subsistence strategies, and engaging in survival sex. These findings suggest that exposure to dysfunctional and disorganized homes place youth on trajectories for early independence. Subsequently, street life and participation in high‐risk behaviors increases their probability of sexual victimization.     

Spatial prediction and temporal backcasting for environmental fields having monotone data patterns

The authors develop a methodology for predicting unobserved values in a conditionally lognormal random spatial field like those commonly encountered in environmental risk analysis. These unobserved values are of two types. The first come from spatial locations where the field has never been monitored, the second, from currently monitored sites which have been only recently installed. Thus the monitoring data exhibit a monotone pattern, resembling a staircase whose highest step comes from the oldest monitoring sites. The authors propose a hierarchical Bayesian approach using the lognormal sampling distribution, in conjunction with a conjugate generalized Wishart distribution. This prior distribution allows different degrees of freedom to be fitted for individual steps, taking into account the differential amounts of information available from sites at the different steps in the staircase. The resulting hierarchical model is a predictive distribution for the unobserved values of the field. The method is demonstrated by application to the ambient ozone field for the southwestern region of British Columbia.     

Continuity and Change in Rural Migration Patterns, 1950–1995*

Abstract During the past several decades, rural America has experienced turbulent demographic change. We examine rural age‐specific migration data for 1950 to 1995 to ascertain whether the numerous economic, social, and technological factors buffeting nonmetropolitan America have altered migration patterns across age groups and types of counties. Both continuity and change are evident in the analysis. We find differentiation in the migration profiles of certain specialized types of rural counties, as well as temporal variability from decade to decade. No clear longitudinal trend in migration patterns is present, however. In fact, an underlying continuity in age‐specific trends has endured through good times and bad.     

Adult self-sufficiency and social adjustment in care leavers from children's homes: a long-term assessment

This paper presents a study carried out in Spain that followed up 260 young people, the majority of them adults, who had been in residential care for significant periods. The follow‐up takes place between 1 and 9 years after participants had left residential care, and assesses their level of social and work integration, as well as considering the incidence of problems related to marginalization and social exclusion. Furthermore, it analyses the reasons for the child being taken into care, the socio‐family context, length of stay, changes in placement and other features or incidents in relation to the residential care. The data show that close to 15% have serious problems (drug dependence, delinquency, etc.), 25% receive help from the social services and the rest manage independently to a greater or lesser extent. We discuss the significance of these data, especially the relationship between the final result and the initial and process variables.     

Consolidation and fragmentation in environmental scanning: A review and research agenda

Environmental scanning is a broadly defined concept, having first received attention from scholars in the late 1960s. Over the years a number of similar and overlapping constructs have emerged in management literature. The aim of this study, via a systematic review and thematic analysis of relevant empirical research, is to consolidate foundation environmental scanning knowledge, demonstrate how scanning research has developed and fragmented over time, and propose an agenda for future research. The first contribution of our review is a new typology of environmental scanning research made up of five discrete research views, which provides a more comprehensive and contemporary overview of the field than previous studies. The second is a proposed agenda for future research that explicitly acknowledges the role of technology, an area that is presently underdeveloped in foundation scanning literature. The third contribution is to signpost future directions for research on scanning and organisational performance using a number of theoretical perspectives. The overall outcome of our review is to move scanning research on from increasingly incremental contributions concerned with context to a place where the changing role of technology and the mechanisms through which environmental scanning contributes to competitive advantage can be more thoroughly understood.     

Toward General Principles for Resilience Engineering

Maintaining the performance of infrastructure-dependent systems in the face of surprises and unknowable risks is a grand challenge. Addressing this issue requires a better understanding of enabling conditions or principles that promote system resilience in a universal way. In this study, a set of such principles is interpreted as a group of interrelated conditions or organizational qualities that, taken together, engender system resilience. The field of resilience engineering identifies basic system or organizational qualities (e.g., abilities for learning) that are associated with enhanced general resilience and has packaged them into a set of principles that should be fostered. However, supporting conditions that give rise to such first-order system qualities remain elusive in the field. An integrative understanding of how such conditions co-occur and fit together to bring about resilience, therefore, has been less clear. This article contributes to addressing this gap by identifying a potentially more comprehensive set of principles for building general resilience in infrastructure-dependent systems. In approaching this aim, we organize scattered notions from across the literature. To reflect the partly self-organizing nature of infrastructure-dependent systems, we compare and synthesize two lines of research on resilience: resilience engineering and social-ecological system resilience. Although some of the principles discussed within the two fields overlap, there are some nuanced differences. By comparing and synthesizing the knowledge developed in them, we recommend an updated set of resilience-enhancing principles for infrastructure-dependent systems. In addition to proposing an expanded list of principles, we illustrate how these principles can co-occur and their interdependencies.