Advances on a Decision Analytic Approach to Exposure-Based Chemical Prioritization

The volume and variety of manufactured chemicals is increasing, although little is known about the risks associated with the frequency and extent of human exposure to most chemicals. The EPA and the recent signing of the Lautenberg Act have both signaled the need for high-throughput methods to characterize and screen chemicals based on exposure potential, such that more comprehensive toxicity research can be informed. Prior work of Mitchell et al. using multicriteria decision analysis tools to prioritize chemicals for further research is enhanced here, resulting in a high-level chemical prioritization tool for risk-based screening. Reliable exposure information is a key gap in currently available engineering analytics to support predictive environmental and health risk assessments. An elicitation with 32 experts informed relative prioritization of risks from chemical properties and human use factors, and the values for each chemical associated with each metric were approximated with data from EPA's CP_CAT database. Three different versions of the model were evaluated using distinct weight profiles, resulting in three different ranked chemical prioritizations with only a small degree of variation across weight profiles. Future work will aim to include greater input from human factors experts and better define qualitative metrics.     

Policing gender mobilities: interrogating the ‘feminisation of migration’ to Europe

This article proposes a gendered critique of the European Neighbourhood Policy, a framework that, amongst other things, aims to facilitate the mobility of migrants to the EU from the bordering countries. We highlight the ambivalences of European gender and migration regimes, and we take issue with the celebration of the ‘feminisation of migration’. The former fails to offer opportunities to women to safely embark on autonomous migratory projects, the latter contributes to reproduce traditional gender biases in the countries of origin as well as of destination. We conclude by suggesting that the EU critique to emigration countries for failing to tackle women’s discrimination is less than persuasive when assessed vis-á-vis with the curtailment on women’s independent mobility across European borders.     

Exploring uncertainties in a marketplace for cloud computing: a revelatory case study

Today, highly standardized information technology (IT) resources such as storage and processing power are becoming available and affordable to all. Therefore, IT managers evermore focus on reducing the costs and risks that these resources entail rather than on the benefits or competitive edge they provide. A marketplace for cloud computing represents a promising alternative for obtaining standardized IT resources in a highly flexible and scalable manner. Based on a revelatory case study of a cloud market project, we show that uncertainties are prevalent in cloud markets and that the principal-agent theory is an adequate perspective to study and explain these uncertainties. By triangulating data from formal and informal interviews, documentations and project meetings, we develop a second-level contextual understanding of uncertainties in the relationships between market operator, cloud providers and users. Our analysis reveals that while cloud market operators have capabilities to mitigate uncertainties between cloud provider and user, they also cause new uncertainties from the cloud provider and user perspective. As an outcome, we present a framework that sheds light on the uncertainty trade-offs involved in the decision to adopt a cloud market by cloud providers and users.     

Health care innovations for homeless families: Emerging opportunities under Medicaid and the Affordable Care Act

Prior to the Patient Protection and Affordable Care Act of 2010 (the ACA), the US health care system left many low-income families facing limited access to medical care, struggling with high-health costs, or lacking health insurance altogether. The ACA aims to increase access to care, improve the quality of care, and lower total health care costs. While the ACA can benefit all individuals and families, it has significant potential for expanding and improving services for those experiencing homelessness. This paper describes specific opportunities under the ACA and Medicaid that can be used to strengthen services for homeless families and provides examples of efforts under way. It also offers guidance for how homeless service agencies can effect change in their respective states. The examples described here are promising approaches to strengthening homeless services. Pursuing these ideas for homeless families will require initiative, creativity, and perseverance, but recent progress is encouraging.     

An Assessment of the Psychometric Properties of Italian Version of CPGI

The aim of this study was to adapt to the Italian context a very commonly used international instrument to detect problem gambling, the canadian problem gambling index (CPGI), and assess its psychometric properties. Cross-cultural adaptation of CPGI was performed in several steps and the questionnaire was administered as a survey among Italian general population (n = 5,292). Cronbach’s alpha reliability coefficient was 0.87 and can be considered to be highly reliable. Construct validity was assessed first by means of a principal component analysis and then by means of confirmatory factor analysis, showing that only one factor, problem gambling, was extracted from the CPGI questionnaire (an eigenvalues of 4,684 with percentage of variance 52 %). As far as convergent validity is concerned, CPGI was compared with Lie/Bet questionnaire, a two-item screening tool for detecting problem gamblers, and with both depression and stress scales. A short form DSM-IV CIDI questionnaire was used for depression and VRS scale, a rating scale, was used for rapid stress evaluation. A strong convergent validity with these instruments was found and these findings are consistent with past research on problem gambling, where another way to confirm the validity is to determine the extent to which it correlates with other qualities or measures known to be directly related to problem gambling. In sum, despite the lack of a direct comparison with a classic gold-standard such as DSM-IV, the Italian version of CPGI exhibits good psychometric properties and can be used among the Italian general population to identify at-risk problem gamblers.     

A Matter of Reputation and Pride: Associations between Perceived External Reputation,Pride in Membership,Job Satisfaction and Turnover Intentions

This study investigates how job satisfaction and turnover intentions are related to external reputation as perceived by employees and their pride in membership. Based on a cross‐sectional survey including 439 employees, it also provides insights into external reputation as a possible source of collective pride. Study results indicate that, in agreement with social identity theory, outsiders' views of the organization are closely associated with employees' pride in organizational membership as well as job satisfaction. Both pride and job satisfaction mediate the relationship between perceived external reputation and turnover intentions. Hence, a favourable reputation matters in managing turnover intentions and is closely related to employee pride and satisfaction. Tenure of employees is positively associated with pride while intensive customer contact is negatively related to perceived external reputation and pride. Implications pinpoint the need for alignment of reputation management and human resources management. Furthermore, managers need to focus on new staff and employees with frequent customer contact and should implement pride‐building strategies according to the tenure of employees and intensity of customer contact.     

A copula-based approach to account for dependence in stress-strength models

The focus of stress-strength models is on the evaluation of the probability R = P(Y < X) that stress Y experienced by a component does not exceed strength X required to overcome it. In reliability studies, X and Y are typically modeled as independent. Nevertheless, in many applications such an assumption may be unrealistic. This is an interesting methodological issue, especially as the estimation of R for dependent stress and strength has received only limited attention to date. This paper aims to fill this gap by evaluating R taking into account the association between X and Y via a copula-based approach. We calculate a closed-form expression for R by modeling the dependence through a Farlie-Gumbel-Morgenstern copula and one of its extensions, numerical solutions for R are, instead, provided when members of Frank’s copula family are employed. The marginal distributions are assumed to belong to the Burr system (i.e. Burr III, Dagum or Singh-Maddala type). In all the cases, we prove that neglect of the existing dependence leads to higher or lower values of R than is the case.