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...

In this paper we contribute to the literature on the structure of interlocking directorship networks and to the literature on the relationship between corporate governance and performance. We use a unique dataset made of corporate governance variables related to the board size and interlocking...

In this paper we contribute to the literature on the structure of interlocking directorship networks and to the literature on the relationship between corporate governance and performance. We use a unique dataset made of corporate governance variables related to the board size and interlocking...

The purpose of this paper is to analyze the effects on the Italian directorship network of the corporate governance reform that was introduced in Italy in 2011 to prevent interlocking directorships in the financial sector. Interlocking directorships are important communication channels among...

We contribute to the literature on cross shareholdings and board interlocks in Italy which finds possible evidence of enlarged collusion, that is, collusion established through board interlocks among companies that do not necessarily operate in the same business sector. We focus on the Italian...

The purpose of this paper is to analyze the effects on the Italian directorship network of the corporate governance reform that was introduced in Italy in 2011 to prevent interlocking directorships in the financial sector. Interlocking directorships are important communication channels among...

We propose a new approach based on bootstrapping to compare complex networks. This is an important task when we wish to compare the effect of a (policy) shock on the structure of a network. The bootstrap test compares two values of the Gini index, and the test is performed on the difference...

COVID-19 has destroyed the tourism market, and it was essential to analyze the impact of the pandemics to reconstruct the tourism sector. In this work, we analyze the tourism demand in Italy using Social Big Data. In particular, we investigate the search behavior related to relevant tourism...