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This paper aims to appraise the effectiveness of gender quotas in breaking the glass ceiling for women on boards (WoBs) in companies that are legally obliged to comply with quotas (listed companies and state-owned companies, LP) and in those that are not (unlisted companies and nonstate-owned companies, NLNP). Furthermore, it investigates the glass cliff phenomenon, according to which women are more likely to be appointed to apical positions in underperforming companies.

A balanced panel data of the top 116 Italian companies by total assets, which are present in both 2010 and 2017, is used for estimating ANOVA tests across sectors and fixed-effects panel regression models.

WoBs significantly increased in both the LP and the NLNP companies, and this increase was greater in the financial sector. Furthermore, the relationship between the percentage of WoBs and firm performance is not linear but depends on the financial corporate health. Specifically, the situation in which a woman ascends to a leadership position in challenging circumstances where the risk of failure is high (glass cliff phenomenon) is only present in companies with the lowest performance in the sample, in other words, when negative values of Roe and negative or zero values of Roa occur together.

These findings have relevant policy implications that encourage the adoption of gender quotas even in specific top positions, such as CEO or president, as this could lead to a “double spillover effect” both vertically, that is, in other job positions, and horizontally, toward other companies not targeted by quotas. Practical interventions to support women in glass cliff positions, on the other hand, relate to the extent of supervisor mentoring and support to prevent women from leaving director roles and strengthen their chances for career advancement.

The authors explore the ability of gender quotas to break through the glass ceiling in companies that are not legally obliged to do so, and to the best of the authors’ knowledge, for the first time, the glass cliff phenomenon in the Italian context.

This article responds to the call for more research on mobile work by exploring how the aspirations of these workers relate to job satisfaction through adaptation to the job characteristics they experience.

Based on aspiration theory and the literature on mobile work, the paper examines how mobile workers form aspirations and how this is related to their perception of job satisfaction. The empirical analysis uses a two-tier stochastic frontier analysis and the 2015 European Working Conditions Survey dataset.

Mobile workers formulate higher aspirations than the working conditions they experience and report lower levels of job satisfaction than other types of workers. They revise their aspirations downwards when they experience autonomy, discretion, performance-related pay schemes, relation-oriented leadership while they increase their aspirations when they experience work intensification and discrimination.

This paper provides new insights into the work perceptions of mobile workers and enriches existing research by highlighting the importance of the study of individual aspirations to advance understanding of the complex dynamics of mobile work.

This paper investigates the determinants of subjective well-being in Europe using the European Living, Working and COVID-19 (ELWC) Survey carried out by Eurofound (2021). Socio-demographics characteristics, employment status, measures of economic distress, inequality and work life balance are considered. Particular attention is paid to how quality of government support (QGS), that considers the dimensions of good governance such as integrity, fairness, reliability, responsiveness and influences subjective mental well-being (WHO-5) through the mediation of trust in other people and in institutions.

To this end, the authors estimate a moderated mediation model for analysing the indirect role of QGS on WHO-5 through institutional trust and trust in people.

The results support the hypothesis that the reduction in WHO-5 in the European population during coronavirus disease 2019 (COVID--19), particularly marked in the 18–34 age group, is related to the perceived inadequacy of government interventions in managing economic and social uncertainty through supportive measures. This outcome is also due to reduced trust in institutions and other people, as both are significant mediators that reinforce the impact of public support on WHO-5.

Government should pay greater attention to this relationship amongst good governance, trust and mental health of citizens because a healthy human capital is a significant factor for the long-run economic growth, in a special way when the authors refer to the young workforce with a greater life expectancy.

In the literature, the role of trust as a mediator has been analysed in the relationship between individual economic situations and subjective well-being before and during the COVID-19 pandemic. To the best of the authors' knowledge, no studies have examined the role of perceived QGS on subjective mental well-being using the mediating and backing effects of trust in people and institutions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0549.

Relying on a new dataset, this paper examines the genesis of current account fluctuations and the investment cycle in Italy. We perform a Granger causality test that shows that the persistent current account deficits in the years from unification to World War I were generated by variations in capital inflows, as hypothesized by Fenoaltea, and not by the dynamics of GDP, as in the Bonelli–Cafagna model. Finally, we show that these capital inflows prompted an industrial investment cycle in equipment and machinery but not – as claimed by Fenoaltea (1988) – a general investment cycle which included also construction and more volatile components of investment. These patterns held under both fixed and floating exchange rate regimes.

The upsurge of Chinese and Indian outward foreign direct investment (FDI) raises an unanswered question about locational determinants of direct investment from the two countries. Using an unbalanced bilateral FDI database, we find that Chinese and Indian FDI are attracted to countries with large market size, low GDP growth, high volumes of imports from China or India, and low corporate tax rates. We also find important differences between China and India. While Chinese FDI is drawn to countries with open economic regimes, depreciated host currencies, better institutional environments, and English speaking status, none of these factors are important for Indian FDI. Chinese FDI is also deterred by geographic distance and OCED membership. However, neither of these has any impact on Indian FDI.