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Information Systems: Crossroads for Organization, Management, Accounting and Engineering
This book examines a wide range of issues that characterize the current IT based innovation trends in organizations. It contains a collection of research papers focusing on themes of growing interest in the field of Information Systems, Organization Studies, Management, Accounting and Engineering. The book offers a multidisciplinary view on Information Systems with the aim of disseminating academic knowledge. It would be particularly relevant to IT practitioners such as information systems managers and IT consultants. The 12 sections cover a broad spectrum of topics including: eServices in Public and Private Sectors; Organizational Change and the Impact of ICT in Public and Private Sectors; ...
Italian Workers at Risk During the Covid-19 Epidemic
We analyse the content of Italian occupations operating in about 600 sectors with a focus on the dimensions that expose workers to contagion risks during the COVID-19 epidemics. To do so we leverage extremely detailed and granular information from ICP, the Italian equivalent of O*Net. We find that several sectors need physical proximity to operate: the workers employed in Italy in sectors whose physical proximity index is above the national average are more than 6.5 million (most of them in retail trade). Groups at risk of contagion and complications from COVID-19 (mainly male above the age of 50) work in sectors that are little exposed to physical proximity, currently under lockdown or can work remotely. The sectoral lockdowns put in place by the Italian Government in March 2020 seem to have targeted sectors who operate in physical proximity, but not those directly exposed to infections (the health industry is not subject to lockdown). Most workers who can operate from home have not been put under lockdown and are currently working. Therefore, the number of workers who are not in workplaces could be up to 3 million higher than those whose sector has been shutdown.
From the Lockdown to the New Normal
Italy was among the first countries to introduce drastic measures to reduce mobility in order to prevent the diffusion of COVID-19. On March 9, 26 out of 111 provinces were subject to severe limitations on individual mobility between municipalities. One day later, new restrictive measures were introduced in the whole country with no regional distinctions: this continued until June 3 when the limits on movements across regions were eventually lifted. By looking at these watershed moments, this paper explores, for the first time, the impact of the adoption and the removal of restrictive measures on changes in individual mobility in Italy. By using a spatial discontinuity approach, we show that these measures were effective in that they lowered individual mobility by about 7 percentage points relative to what is accounted for by the characteristics of the local population and the disease. The analysis shows, however, that local features played an important role after the travelling bans were lifted: the catching up with pre-COVID-19 patterns has been stronger in those areas where the labour force is relatively less exposed to the risk of contagion and less likely to work from home.
Intersectional Automations
Intersectional Automations explores a range of situations where robotics, biotechnological enhancement, artificial intelligence (AI), and algorithmic culture collide with intersectional social justice issues such as race, class, gender, sexuality, ability, and citizenship. As robots, machine learning applications, and human augmentics are artifacts of human culture, they sometimes carry stereotypes, biases, exclusions, and other forms of privilege into their computational logics, platforms, and/or embodiments. The essays in this multidisciplinary collection consider how questions of equity and social justice impact our understanding of these developments, analyzing not only the artifacts themselves, but also the discourses and practices surrounding them, including societal understandings, design choices, law and policy approaches, and their uses and abuses.
Geographical Labor Market Imbalances
This book focuses on the questions of how territorial differences in productivity levels and unemployment rates arise in the first place and why territorial differences in labor market performance persist over time. Unemployment divergence and unemployment club convergence have been touched on in a large number of works and have recently also been studied using spatial econometric analysis. In this book we aim to develop the debate to include several important new topics, such as: the reasons why structural changes in some sectors cause slumps in some regions but not in others; the extent to which agglomeration factors explain regional imbalances; the degree of convergence / divergence across EU countries and regions; the role of labor mobility in reducing / increasing regional labor market imbalances; the impact of EU and country-level regional policy in stimulating convergence and the (unsatisfactory) role of active labor market policy in stimulating labor supply in the weakest economic areas.
Sometimes You Cannot Make it on Your Own
In this paper, we explore channels by which household background determines an individual’s educational and social opportunities in Italy. Our analysis relies on a rich dataset that contains data both on individuals and their real parents, as well as information on individuals’ non-cognitive skills. This paper also represents the first attempt to evaluate if and to what extent personality traits affect educational and occupational opportunities in Italy and how they interact with household background. The results highlight that the level of parental education is more relevant than the level of parental occupational skill in individuals’ educational and social opportunities. The inclusion of ‘Big-5’ variables in the model helps control for omitted variables and reduces the unobserved heterogeneity in intergenerational social mobility among individuals with the same level of education and skills. Our results depict a dual and unequal labour market.
Ten Worlds of Welfare Capitalism
This book presents a new step farther into the twenty-first century, for the first time truly combining a comprehensive global data analysis with social policy theory development. The theory of global ideal-typical welfare regimes, also known as the “Ten Worlds of Welfare Regime Theory”, as set forth earlier by Christian Aspalter, is now in this book tested empirically using a quantitative global data analysis for the first time. The strong and rich results fully vindicated the Ten Worlds Theory. All in all, about 150 countries are included in this test, measuring numerous variables on two main dimensions, i.e., povertization and inequality. The innovative approach of using a new indicat...
Educational Mismatches, Routine Biased Technological Change and Unemployment
This paper investigates the relation between educational mismatches and individual unemployment risk in Italy with a special focus on the role of technological change and labour demand characteristics. A novel dataset obtained merging two surveys (ICP and PLUS) is used to build different measures of educational mismatch and a measure of routine intensity on Italy: the Routine Task Index. The latter takes into account the effect of Routine Biased Technical Change (RBTC) in determining educational mismatches and unemployment risk. The results indicate that overeducation is significantly associated with higher unemployment risk. This effect is explained by RBTC in the case of tertiary educated workers whereas for secondary educated workers the result holds after controlling for the main features of labour demand and supply. In addition, we find a significant association between unemployment risk and mismatches in the field of study for tertiary educated workers. Policy implications stressing the complementary role of demand and supply policies are derived.
Who Lost the Most?
This paper investigates what happened to the wage distribution in Italy during the first wave of the COVID-19 pandemic. It shows which categories of workers and economic sectors have suffered more than others and to what extent both the actual level of smart-working and the ability to Working From-Home can influence the wage distribution. We use a unique dataset relying on the merging of two sample surveys: the Italian Labor Force Survey set up by National Institute of Statistics and the Italian Survey of Professions conducted by the National Institute for Public Policy Analysis. We estimate quantile regression models accounting for selection. First, the findings reveal that the pandemic has...
Do Classical Studies Open Your Mind?
We investigate whether classical studies in high school Ő that emphasize in Italy the study of ancient languages such as Latin and Greek - affect personality traits. Using Italian survey data, we compare individuals who did classical studies in high school with similar individuals who completed a more scientific academic curriculum. We find that having done classical studies does not affect conscientiousness and openness but increases neuroticism and self-reported unhappiness.
