Search results

The recent literature on corporate governance and gender diversity underlines that those differences may go beyond a pure or direct effect on firms’ performance and in this vein, this study aims to investigate whether the presence of women in leading positions can affect the credit rating indicators.

The authors focus on Italian manufacturing firms, as well as small and medium firms (SMEs), that are often under-represented in previous studies, despite their importance in many economies. The authors extract data on directors and top managers as well as rating classes and credit score indicators, and using a fixed-effects model, the authors analyze the relationship between credit risk mitigation and the inclusion of women among top managers, consistently with the rising empirical literature focused on risk perceptions.

The authors find a significant negative relationship between female participation in top management and credit risk, with a greater impact associated with smaller firms, where the presence of a female top manager might make the difference. The results are robust to different model specifications and estimation strategies, and the authors find different magnitudes of the effects also according to the geographical location of the firm.

Because of the chosen sample of manufacturing firms, the research results may lack generalizability. Therefore, researchers are encouraged to expand the study and test the approach elsewhere.

The authors add new and more robust empirical evidence of a negative relationship between female participation in the top management and credit risk by focusing on the entire population of Italian nonlisted manufacturing firms.

This paper seeks to measure and characterise the extent of consumer over‐indebtedness among the European Union (EU) member states.

The study evaluates alternative measures of over‐indebtedness on the basis of the permanent‐income/life‐cycle theories of consumption behaviour and adopts a subjective approach in identifying over‐indebted households on the basis of European household survey data. It then investigates the main characteristics of over‐indebted households.

The empirical results reveal that over‐indebtedness was a significant problem across EU member states in the mid‐1990s. Moreover, an inverse relationship emerged between the extent of the over‐indebtedness problem and the extent of consumer borrowing across EU countries.

Anecdotal evidence seemed to suggest that some main factors behind over‐indebtedness could be “market failure” on the credit market, the existence of liquidity constraints and lack of access to formal credit markets. However, a comprehensive and rigorous investigation of the extent and determinants of over‐indebtedness can only be achieved through analysis of more extended household data sets, particularly panel data.

The EU credit markets exhibited certain symptoms of “market failure”, on the one hand, and there was also need for further financial liberalisation in the Southern European countries, on the other hand.

The paper provides a first systematic evaluation of existing measures of consumer over‐indebtedness as well as the first EU‐wide empirical investigation of the problem. It should provide valuable information to the credit industry as well as financial regulatory bodies.

This article aims to understand the role of intermediaries that manage innovation challenges in the healthcare scenario. More specifically, it explores the role of digital platforms in addressing data challenges and fostering data-driven innovation in the health sector.

For exploring the role of platforms, the authors propose a theoretical model based on the platform’s dynamic capabilities, assuming that, because of their set of capabilities, platforms may trigger innovation practices in actor interactions. To corroborate the theoretical framework, the authors present a detailed in-depth case study analysis of Apheris, an innovative data-driven digital platform operating in the healthcare scenario.

The paper finds that the innovative data-driven digital platform can be used to revolutionize established practices in the health sector (a) accelerating research and innovation; (b) overcoming challenges related to healthcare data. The case study demonstrates how data and intellectual property sharing can be privacy-compliant and enable new capabilities.

The paper attempts to fill the gap between the use of the data-driven digital platform and the critical innovation practices in the healthcare industry.