Dropout of Hospital Volunteers in Italy

Voluntary work in Charities is a constantly growing reality: in particular, in the last few years, voluntary work in hospitals has become of great importance, marking a substantial increase of commitment in social issues. However, at the same time, volunteering Charities have been plagued by the increase of the phenomenon of dropout, that is, volunteers abandoning the Charitable Association they’re working in, often after a relatively short period of activity. In this study, we attempted to verify if and how active and dropped out volunteers perceive their own activity as a source of anxiety and stress. Our data show that both active and dropped out volunteers show high levels of burnout; in fact, dropped out volunteers show higher levels of burnout, especially of emotional exhaustion, in comparison with active volunteers. Subsequently, we identified the factors potentially assuming the role of mediators or moderators in the direct relation involving the status of voluntary work activity and the levels of anxiety and burnout. Our study demonstrates that coping strategies and the relationship established with hospital workers can be considered good moderators.     

A clustering method for global optimization based on thekth nearest neighbour

In this paper we describe a stochastic method for global optimization based on a uniform sampling in the search domain. After a reduction of the sample, computing the distance between the remaining points and using the distribution of the kth nearest neighbour enables clusters of points to be built up, hopefully fitting the regions of attraction of significant local optima; from each of these a local search is started. The properties of the method are analysed, and detailed computational results on standard test functions are provided.     

Forthcoming in Sociological Forum

Forthcoming in Sociological Forum     

A comment on “A theoretical basis for perturbation methods” by Krishnamurty Muralidhar and Rathindra Sarathy

Statistics and Computing -     

Optimal sequential Bayesian analysis for degradation tests

Degradation tests are especially difficult to conduct for items with high reliability. Test costs, caused mainly by prolonged item duration and item destruction costs, establish the necessity of sequential degradation test designs. We propose a methodology that sequentially selects the optimal observation times to measure the degradation, using a convenient rule that maximizes the inference precision and minimizes test costs. In particular our objective is to estimate a quantile of the time to failure distribution, where the degradation process is modelled as a linear model using Bayesian inference. The proposed sequential analysis is based on an index that measures the expected discrepancy between the estimated quantile and its corresponding prediction, using Monte Carlo methods. The procedure was successfully implemented for simulated and real data.     

Determinants of Joblessness During the Economic Crisis: Impact of Criminality in the Italian Labour Market

After nearly 20 years without any significant changes, the indicators of the European Regional Development Fund (ERDF) have undergone a major overhaul in the current 2014–2020 programming period. This paper reviews the characteristics of the ERDF indicator system evolution and contextualises the changes. Based on applying a logic model and practical examples, we argue that in spite of the good justification for changes, the new ERDF intervention logic and indicator system did not solve some of the well-known problems and brought new challenges for the ERDF-supported programmes. The main challenges that still remain to be solved are: differing indicator concepts between the European Union funds; inconsistency of the common output indicators; difficulties in establishing a programme’s contribution to results; persistent problems in determining the target values for results; and broad result indicators with indirect link to interventions.     

A symbolic approach to competence development

A deep-lying assumption nested in the civil service culture is that of competence. The article illustrates the research project carried out in a municipality over a period of three years, using a symbolic approach to competence development. Competence is defined as a symbolic field, an imaginary territory comprising the ideas, projects and emotions that subjects attribute to their organization within a metaphorical map which represents the texture of organizing. Possessing competence or being competent is the dilemma which provides the key to the analysis of the symbolization processes which took place during the consultation. The social representation of competence highlights the relationships between organizational actors (the competent civil servant, the competent boss, the competent politician, the competent administration, the competent citizen) and their mutual image. Competence therefore becomes a relational concept.     

Outlines of a Critical Sociology of Consumption: Beyond Moralism and Celebration

The 'new' sociology of consumption that emerged in the 1980s acknowledged that consumption is a significant cultural and social practice and not just a mere signifier of the pathological elements of contemporary societies. Arguably, this rehabilitation of consumption has overshot its mark and has led to an overly positive, complacent and celebratory rendering of consumption and to an overriding concern with the symbolic and communicative dimension of goods. Driven by the debates on globalization, political consumerism and the relation between consumption and citizenship, current work shows increased interest in the politics of consumption. The article explores in what directions the classic concern with the symbolic and communicative dimension of goods might be taken if it is more thoroughly grounded in an analysis of the politics of consumption and of the current reconfigurations of consumers and citizens. The overall aim is to outline a basis for a critical sociology of consumption.