Jessica Riccioni’s research while affiliated with Roma Tre University and other places

In this paper, we investigate the levels of satisfaction achieved by Italian women managers concerning family welfare, working life, and personal life. We analyze the possible effects of specific drivers influencing women's satisfaction and their perception of the impact of financial inclusion on their professional lives. To achieve these goals, we have developed an online questionnaire divided into four sections. The collected data have been studied by using Cluster Analysis and Mixed Effect Models to gain some insights into the key factors that should be considered in terms of policy implications. This paper aims at filling the gap in the existent scientific literature on this topic. This is one of the few studies conducted on the level of women’s satisfaction and the only one analyzing the Italian female managers’ population.

This paper develops a model for predicting the failure time of a wide class of weighted k-out-of-n reliability systems. To this aim, we adopt a rational expectation-type approach by artificially creating an information set based on the observation of a collection of systems of the same class–the catalog. Specifically, we state the connection between a synthetic statistical measure of the survived components’ weights and the failure time of the systems. In detail, we follow the evolution of the systems in the catalog from the starting point to their failure–obtained after the failure of some of their components. Then, we store the couples given by the measure of the survived components and the failure time. Finally, we employ such couples for having a prediction of the failure times of a set of new systems–the in-vivo systems–conditioned on the specific values of the considered statistical measure. We test different statistical measures for predicting the failure time of the in-vivo systems. As a result, we give insights on the statistical measure which is more effective in contributing to providing a reliable estimation of the systems’ failure time. A discussion on the initial distribution of the weights is also carried out.