Selection of Logistic Service Providers for the transportation of refrigerated goods

The aim of this article is to propose a decision model based on Analytic Hierarchy Process (AHP) for the evaluation and selection of Logistics Service Providers (LSPs) for a refrigerated products company. The results indicated that quality, responsiveness and reliability are the most important criteria for selecting an LSP for the transportation of perishable refrigerated goods, considering contractor’s profile, which is based on protection of its brand and reputation in the market. In addition, sensitivity analysis is performed to verify priority ranking stability. Therefore, this research illustrates how AHP model could be implemented to help the decision-making process for selecting third-party services in logistics for perishable refrigerated goods effectively.     

The Effects of Being Out of the Labor Market on Subsequent Wages: Evidence for Uruguay

Based on administrative data combining workers’ earnings histories and unemployment insurance benefits, we document short and long term wage losses for a large sample of Uruguayan formal workers with high tenure. The contribution of this paper is to provide original evidence about job separation costs in a developing country, based on a unique array of social security and unemployment insurance administrative micro-data. Our main findings indicate that workers lose around 38 % of their previous wages in the first quarter after separation, and 1 year after, losses are still more than 14 %. If we consider earnings plus unemployment insurance benefits, losses at the quarter of separation are considerable lower, amounting 22 % of previous wages. We also provide original evidence about how wage losses vary across age groups, gender, industry and size of the firm. Differences between switchers and non switchers, as well as the effects of the economic cycle are also analyzed.     

On the Correlation of Common Factors with Variance Not Accounted for by the Factor Model

The case that the factor model does not account for all the covariances of the observed variables is considered. It is shown that principal components representing covariances not accounted for by the factor model can have a nonzero correlation with the common factors of the factor model. The substantial correlations of components representing variance not accounted for by the factor model with common factors are demonstrated in a simulation study comprising model error. Based on these results, a new version of Harman's factor score predictor minimizing the correlation with residual components is proposed.     

Four-stage process model of the core factors of burnout: The role of work stressors and work-related resources

The impact of work stressors and work-related resources on emotional exhaustion and depersonalization, as the two core factors of burnout, is investigated. According to the German Action Regulation Theory work stressors are conceptualized as regulation problems that lead to work stress in terms of additional effort (e.g. working longer hours), increased intensity of effort (e.g. working at a faster pace), and risky action (e.g. by neglecting safety rules). Consequently, an extended process model consisting of objective work stressors, work stress, emotional exhaustion and depersonalization is proposed. Nurses from three general hospitals (N=482) provided data for evaluating this model. Complete mediation of work stress and emotional exhaustion were analysed by hierarchical regression analysis. The overall model was tested by structural equation analysis in two steps; in the first step the basic model was analysed while in the second step the model was extended by autonomy as a work-related resource. The process model could be confirmed with respect to: (1) the mediating function of work stress and emotional exhaustion, and with regard to (2) the direct impact of autonomy as a work-related resource on work stressors but not on emotional exhaustion and depersonalization. Methodological considerations and implications for work design and burnout prevention are discussed.     

The concept of statistical freedom and its application to social mobility

The actual behaviour of groups of persons yields post factum objective data of the extent to which they availed themselves of the opportunities open to them. It is shown that after having accounted for the influence of selected factors, statistical measures of the realized freedom displayed by the group can be derived from the data, and that these measures may legitimately be interpreted as indices of the freedom of the average person. The problems of social mobility are particularly suited for this novel type of analysis, and the method is demonstrated by application to the choice of occupation of a group of Stockholm-born young men.     

Winning and Competitiveness as Determinants of Political Support*

Objectives. This study examines the impact of competitiveness, winning, and ideological congruence on evaluations of democratic principles, institutions, and performance. We posit that winning matters most. Individuals will hold favorable views toward democracy when it produces the outcomes they desire, independent of other contextual factors associated with elections. Methods. We use cross‐sectional multiple regression models to analyze survey data from Australia, Canada, the United Kingdom, and the United States. Results. We find that the psychological effect of being an election winner at the national level greatly boosts evaluations of democracy, as measured with a host of different indicators, while competitiveness and congruence do not systematically affect these evaluations. Conclusions. This study sheds light on what factors boost regime support among the populace by sorting out the relative impact of being in a competitive district, winning (at the local and national level), and having a representative with a similar ideological outlook.     

More Money,More Problems? Resource Dependence and Professionalization of Non-governmental Social Services Organizations in Southern Spain

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - This study analyzes the strategies displayed by non-governmental organizations in the social services sector to face the...     

Interdependent Network Recovery Games

Recovery of interdependent infrastructure networks in the presence of catastrophic failure is crucial to the economy and welfare of society. Recently, centralized methods have been developed to address optimal resource allocation in postdisaster recovery scenarios of interdependent infrastructure systems that minimize total cost. In real-world systems, however, multiple independent, possibly noncooperative, utility network controllers are responsible for making recovery decisions, resulting in suboptimal decentralized processes. With the goal of minimizing recovery cost, a best-case decentralized model allows controllers to develop a full recovery plan and negotiate until all parties are satisfied (an equilibrium is reached). Such a model is computationally intensive for planning and negotiating, and time is a crucial resource in postdisaster recovery scenarios. Furthermore, in this work, we prove this best-case decentralized negotiation process could continue indefinitely under certain conditions. Accounting for network controllers' urgency in repairing their system, we propose an ad hoc sequential game-theoretic model of interdependent infrastructure network recovery represented as a discrete time noncooperative game between network controllers that is guaranteed to converge to an equilibrium. We further reduce the computation time needed to find a solution by applying a best-response heuristic and prove bounds on ε-Nash equilibrium, where ε depends on problem inputs. We compare best-case and ad hoc models on an empirical interdependent infrastructure network in the presence of simulated earthquakes to demonstrate the extent of the tradeoff between optimality and computational efficiency. Our method provides a foundation for modeling sociotechnical systems in a way that mirrors restoration processes in practice.     

Testing Parameter Constancy in Stationary Vector Autoregressive Models Against Continuous Change

In this article we derive a parameter constancy test of a stationary vector autoregressive model against the hypothesis that the parameters of the model change smoothly over time. A single structural break is contained in this alternative hypothesis as a special case. The test is a generalization of a single-equation test of a similar hypothesis proposed in the literature. An advantage here is that the asymptotic distribution theory is standard. The performance of the tests is compared to that of generalized Chow-tests and found satisfactory in terms of both size and power.     

NISO Webinar: The Future of Integrated Library Systems: Part 1: RDA & Cataloging

This column's offerings cover late spring through summer to fall of 2011: NISO Webinar: The Future of Integrated Library Systems: Part 1: RDA & Cataloging (May 11); American Library Association Annual Conference (June 23–28); Association of College and Research Libraries New England Serials and Electronic Resources Interest Group Summer Program: Current Trends in E-Journals (August 18); Kentucky Library Association/Kentucky School Media Association Joint Conference (September 28–October 1); American Society for Information Science and Technology Annual Meeting (October 9–12); Great Lakes E-Summit Conference (October 10–11); and Potomac Technical Processing Librarians Annual Meeting (October 21).