On large networks there is a specific need to consider specific patterns which can be related to structured groups of nodes which could be also defined communities. In this sense we will propose an approach to cluster the different communities using interval data. This approach is relevant in...

Composite indicators are increasingly important in country comparisons and in policy making. At the same time, the robustness of the results obtained and in particular of the rankings and the conclusions obtained from the analysis it is usually accepted with doubts. In this sense our proposal is...

The purpose of this paper is to contribute to the literature on director interlocks by illustrating and analysing the interlocking directorships among the Italian, French, German, UK and US listed Blue Chips. The comparison of the five countries considered shows that two national models stand...

In July 2007, the Prodi government and representatives of the three main Italian trade union confederations signed a landmark agreement on welfare and economic development. In October, in order to ratify or reject the agreement, the Italian labor movement organized a referendum, i.e. the...

Regarding complex networks, one of the most relevant problems is to understand and to explore community structure. In particular it is important to define the network organization and the functions associated to the different network partitions. In this context, the idea is to consider some new...

Large networks call for approaches which allow to represent their relevant properties. One relevant approach can consider the decomposition of the defined networks in significant subgraphs as k-cores. So it is possible to identify the nodes which can have an important role on the network. In...

In this paper we show how EVPPI analysis can be a good tool to formalize the decision making process leading the design and implementation of interventions aimed at preventing and controlling the consequences of extraordinary events. More concretely we the economics of emergency as the approach...

Modeling and forecasting of dynamically varying covariances have received much attention in the literature. The two most widely used conditional covariances and correlations models are BEKK and DCC. In this paper, we advance a new method to introduce targeting in both models to estimate matrices...

United Nations has embraced gender equality as a sustainable development goal; thus, in this work, we investigate organizational approaches to diversity, focusing on their disclosure and the importance of measuring an organization's diversity strategy. This is considered a valuable internal...

Exploiting a sample of Italian listed banks, this study investigates their adoption of Fintech. Multiple correspondence analysis and hierarchical clustering classification is used to study factors of Fintech in Italian banks in 2021. According to the literature, the significant factors are...