Explaining Italian “exceptionalism” and its end: Minimum income from neglect to hyper-politicization

Traditionally at the margins of the political debate, minimum income protection has recently become a key issue in Italian politics. After decades of social and political “neglect” letting Italy the only European country (with Greece) still lacking an anti-poverty minimum income safety net in the 2010s, finally a national programme called Inclusion Income was introduced in 2018, then replaced by a more robustly financed scheme, the Citizenship Income in 2019. The introduction of these new programmes was the object of an intense political debate, which raises two main puzzles. Why a policy field characterized by the low political resources of would be beneficiaries and low incidence on the overall welfare budget has become so important in the political debate? How did it occur in Italy, where minimum income protection had been absent in political discourses for at least five decades after World War II? To answer these questions, this article first elaborates a novel theoretical framework which combines the main properties of socio-political demand and political supply in order to explain the scope and direction of minimum income reforms. Second, it provides an analytically oriented reconstruction of MIS policy trajectory in Italy in the three different phases: the phase of MIS “neglect” (1948–1992) characterized by inertia; the period of political “contentiousness” (1993–2012), marked by attempts of path departure followed by policy reversals; the more recent phase leading to the introduction and institutionalization of a MIS. Third, the article provides a theoretically framed interpretation of the overall MIS trajectory in Italy.     

A visual planning solution to streamline the processes of hybrid cross-dockings

Cross-docking is a logistic strategy widely adopted both in manufacturing and distribution contexts. Despite the huge number of researches on this topic, most of them remain rather theoretical as they do not pay enough attention to operational aspects and daily functioning patterns of cross-dockings. This article aims at introducing a new focus for cross-docking research by proposing a visual planning solution to manage daily operation of a manufacturing cross-docking. By avoiding complex optimization algorithms and by adopting concepts belonging to the lean management theory, the article shows the potential of visual planning techniques to improve performance of cross-dockings. Starting from a specific industrial context, the shipping warehouse of an Italian company of the oil andand gas sector, a visual management methodology has been proposed to support the operation of cross-dockings. Although developed in a particular context, the proposed methodology and its underlying principles are to be considered general and potentially applicable to a wide range of cross-dockings. The methodology fully exploits an analytical tool, namely, the Safety Margin coefficientthat could be used for capacity planning purposes and to evaluate quantitatively the system performance at a given time instant.     

The RFad Method--a new fatigue recovery time assessment for industrial activities

This paper presents a study about fatigue recovery time assessment processes in work activities. It came about due to a demand presented by an automotive industry giant, in need of updating existing cycle time sheets and TAKT time parameters. The company decided to hire an Ergonomics Laboratory with ties to a major Brazilian University in order to evaluate current conditions and establish a new method to either calculate recovery times or validate existing assessment criteria, based in the ergonomics evaluation of the work activities. It is clear that there has been evident evolution in the industrial sector in the past two decades. It brought up fast modernization of industrial processes, not only in production but also in terms of management systems. Due to improved computer and robotics systems, combined with overall operational advancements - like the use of lighter hand tools and more effective hoist systems - most work activities have had its physical effort requirements reduced in the past decades. Thus, compensation factors built into production times need to be reviewed in order to avoid unnecessary costs associated to them. By using ergonomics considerations, we prevent simply removing the physical variables built in rest time calculations without taking on account, for example, additional cognitive load represented by the use of more sophisticated pieces of equipment.     

Experiences and issues in evaluating tool requirements using genetic algorithms

This paper is concerned with the optimization of tool requirements in flexible manufacturing systems (FMSs). The main aim is to determine the best tool spectrum (i.e. the number of duplicates for each tool type to be provided) considering different layouts of the tool management area (tool rooms). The optimization method is based on the reciprocal interaction between a genetic algorithm (GA) and the simulation model of the FMS considered. Thus, the results proposed refer to the efficacy of the technique adopted and its practical application to tool management.     

Understanding the Risk of an Avian Flu Pandemic: Rational Waiting or Precautionary Failure?

The precautionary principle (PP) has been proposed as the proper guide for the decision-making criteria to be adopted in the face of the new catastrophic risks that have arisen in the last decades. This article puts forward a workable definition of the PP based on the so-called alpha-maximin expected utility approach, applying it to the possible outbreak of the avian flu disease among humans. Moreover, it shows how the shortage and/or lack of effective drugs against the infection of the virus A(H5N1) among humans can be considered a precautionary failure.     

Children against parents? The politics of intergenerational recalibration in Southern Europe

Traditionally, Southern European countries displayed remarkably elderly biased social policy arrangements. This article introduces the notion of intergenerational recalibration to capture reforms aimed at rebalancing the generational profile of Southern European welfare states via the expansion of family policy and social assistance schemes—both monetary benefits and care services—and retrenchment in the field of pensions. Then, it elaborates theoretically on the political dimension of this policy strategy, focusing on the implications of the peculiar combination of expansionary and retrenchment reforms, to advance the hypotheses that domestic politics would prevent the realization of such an agenda, whereas the latter would be favored by a major role of supranational actors, especially the European Union. To test these hypotheses, we systematically analyze policy trajectories in the field of pensions and social assistance in Italy and Spain between the mid‐1990s and 2016. This allows, first, to argue that investment in “pro‐children” measures has not adequately balanced the reduction of pro‐parents expenditure and, second, to question the idea that domestic political incentives to expand “pro‐children” policies are necessarily too weak as well as the “enabling” role of external pressures in pursuing intergenerational recalibration.     

Societal Gender Inequality as Moderator of the Relationship Between Work–Life Fit and Subjective Well-Being: A Multilevel Analysis Across European Countries

Social Indicators Research - Social well-being of person who works in social services as well as hospital staff has a large effect on care quality and organizational efficiency. The aim of this...     

Microbiological and Modeling Approach to Derive Performance Objectives for Bacillus cereus Group in Ready‐to‐Eat Salads

In this article, the performance objectives (POs) for Bacillus cereus group (BC) in celery, cheese, and spelt added as ingredients in a ready‐to‐eat mixed spelt salad, packaged under modified atmosphere, were calculated using a Bayesian approach. In order to derive the POs, BC detection and enumeration were performed in nine lots of naturally contaminated ingredients and final product. Moreover, the impact of specific production steps on the BC contamination was quantified. Finally, a sampling plan to verify the ingredient lots' compliance with each PO value at a 95% confidence level (CL) was defined. To calculate the POs, detection results as well as results above the limit of detection but below the limit of quantification (i.e., censored data) were analyzed. The most probable distribution of the censored data was determined and two‐dimensional (2D) Monte Carlo simulations were performed. The PO values were calculated to meet a food safety objective of 4 log₁₀ cfu of BC for g of spelt salad at the time of consumption. When BC grows during storage between 0.90 and 1.90 log₁₀ cfu/g, the POs for BC in celery, cheese, and spelt ranged between 1.21 log₁₀ cfu/g for celery and 2.45 log₁₀ cfu/g for spelt. This article represents the first attempt to manage the concept of PO and 2D Monte Carlo simulation in the flow chart of a complex food matrix, including raw and cooked ingredients.     

Cluster designs to assess the prevalence of acute malnutrition by lot quality assurance sampling: a validation study by computer simulation

Summary.  Traditional lot quality assurance sampling (LQAS) methods require simple random sampling to guarantee valid results. However, cluster sampling has been proposed to reduce the number of random starting points. This study uses simulations to examine the classification error of two such designs, a 67×3 (67 clusters of three observations) and a 33×6 (33 clusters of six observations) sampling scheme to assess the prevalence of global acute malnutrition (GAM). Further, we explore the use of a 67×3 sequential sampling scheme for LQAS classification of GAM prevalence. Results indicate that, for independent clusters with moderate intracluster correlation for the GAM outcome, the three sampling designs maintain approximate validity for LQAS analysis. Sequential sampling can substantially reduce the average sample size that is required for data collection. The presence of intercluster correlation can impact dramatically the classification error that is associated with LQAS analysis.