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The corona virus outbreak has affected the entrepreneurial ecosystem adversely. This in particular has impacted on females. This study aims to identify the factors affecting the entrepreneurial intention (EI) of females under post-COVID adverse conditions.

A total of 340 articles were screened applying the preferred reporting items for systematic reviews and meta-analyses method. The EI of individuals undertaking different professional courses from three top National Institute Ranking Framework (NIRF) government institutes were then analyzed. In the expert analysis, the nominal group technique (NGT) and analytic hierarchy process (AHP) were used to identify and rank the crucial factors. Subsequently, in the exploratory analysis, a 19-item questionnaire was framed. The data was analyzed using SmartPLS 3.

Resilience, entrepreneurial education, self-concept and self-efficacy, social influence and opportunity perception were identified as critical indicators. Resilience was identified as the most significant factor. The partial least square structural equation modeling (PLS-SEM) revealed that all the factors except social influence had significant effect on the EI of females.

This study focuses primarily on factors affecting females in India. As ecosystems and support vary by region and country, the authors suggest that this study be replicated in different regions/countries in the future.

The potential entrepreneurs can use this study's reference to identify the abilities they need. The government and academic institutions can have skill/training programs to enhance the effect of important factors identified in the study.

While there is growing research of entrepreneurship and entrepreneurial marketing post-pandemic, there are a lack of Indian studies and female entrepreneurship studies.

The present study examines the interplay between age, marital status, alpha female status and various adaptive performance dimensions among a cohort of 380 female professionals.

This study adopts a positivist approach to collect and analyse the data, utilizing appropriate statistical techniques to explore the relationships between the variables of interest.

The study elucidates the significant role of alpha female status in predicting adaptive performance. It finds that alpha females possess distinct competencies, particularly in learning and training, indicative of proactive behaviour and self-efficacy. While older participants tend to demonstrate higher performance levels, the study reveals no significant correlation between age and alpha female status, suggesting that leadership traits may develop independently of age. Furthermore, marital status exerts a modest influence on adaptive performance. The interplay of age and marital status significantly affects adaptive performance, potentially due to the Cumulative Advantage Paradigm, which is the accumulation of advantages or disadvantages throughout an individual's life course.

This study contributes to the existing literature by providing a nuanced understanding of how demographic factors converge to influence adaptive performance in professional settings. It highlights the importance of recognising and nurturing alpha females in organizations and considering the interactions between age and marital status when designing career development programmes and support systems.

In this research, we explore the dynamics among measures of income inequality in the USA, male and female unemployment rates, and growth in government transfer using time series data.

This research adopts a macro-econometric approach to estimate a structural VAR model using time series data.

Our structural impulse responses found that growth in government transfer increases unemployment rates for both males and females. Female income inequality declines with increased government transfer. When the female income ratio rises, we observe that government transfer outlays fall over the forecast horizon. Variance decomposition finds that growth in government transfers is impacted by the male unemployment rate relatively more than the female unemployment rate. This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time.

This research, therefore, suggests gender-specific government transfers to reduce income inequality. This, in effect, may reduce government transfer outlays over time.

This research investigates the dynamics among income inequality, government transfer, and unemployment rates. There is a dearth of research articles that adopt a macro-econometric in this area.

This paper provides novel evidence on the role of gender in the performance of university students, which is particularly relevant to the debate on the performance of female students in science, technology, engineering and mathematics (STEM) subjects.

Our approach relies on the metafrontier approach proposed by Huang et al. (2014), which measures students' efficiency within a given faculty and the impact of the faculty’s technology on students’ efficiency. We use a sample of 53,159 first-year students in 8 faculties from a large university in southern Italy from 2002–2003 to 2010–2011.

Students’ efficiency is relatively low, reflecting an essential role of unobserved heterogeneity. The different technologies of somewhat similar faculties have minimal impact on efficiency. There is a performance gap against women in five faculties, which on average is strongest for the faculties in the pure and applied science area. This gap increases with the proportion of female students and decreases with female lecturers.

The metafrontier has the benefit of providing relevant policy information on the drivers of student success by relying on data that universities routinely generate and preserve.

The stochastic metafrontier approach allows us to separate the group-specific frontiers from the metafrontier, yielding a decomposition of the efficiency scores of various faculties into technical efficiency scores and technological gaps.

The purpose of this paper is to examine the impact of compulsory presence of female members due to gender quota on corporate boards on firms’ credit ratings.

We investigate the impact of female directorial appointment on a firm’s credit rating using firm-level panel data in a regression framework with industry- and year-fixed effects to account for unobserved heterogeneity. Further, to address endogeneity, we employ the difference-in-differences (DiD) technique by exploiting the changes in the corporate board composition induced by the exogeneous gender quota regulation. We also employ the Oster (2019) approach to test for omitted variable bias.

In this paper, we find that the firms that appoint female members on corporate boards post-gender quota mandate (treatment firms) enjoy improved credit ratings as compared to firms that had female members on corporate boards before the gender quota mandate (control group firms) became effective. The findings are robust to alternate definitions of credit rating, treatment and post variables.

We employ an alternative econometric technique, such as Oster’s (2019) specification, to show that the involvement of female directors on corporate boards helps firms in improving firm’s credit ratings. We also identify corporate risk measured using stock return volatility and cash flow volatility as the potential channels through which female directors’ involvement on corporate boards leads to the improvement in firms’ credit ratings.

The purpose of this study is to examine the nexus between geopolitical risk, female CEOs and firm performance through a cross-country analysis.

The study period ranges from 2014 to 2021, and the dataset uses an unbalanced panel of 4,955 companies across 50 nations comprising both developed and emerging economies. Our study has employed a fixed-effect panel regression model, to examine this issue. This analysis was supplemented with applying a dynamic panel technique, i.e. System generalized method of moments (SGMM), to address any endogeneity problems.

The study reveals that female CEOs positively impact firm performance, while geopolitical risks decrease it. Gender plays a significant role in this relationship, with firms with female executives tending to make conservative financial decisions amidst increased risks. The study also shows that geopolitical threats (GPRT) have a greater impact on female CEOs-firm performance relationship in developed nations.

This study is a new investigation that explores the intertwining relationship between geopolitical risk, female CEOs and firm performance across the countries.

This study seeks to evaluate gender diversity within family members and analyze its effects on financial distress in firms listed in Vietnam.

The research employs a Generalized Method of Moments (GMM) regression model to assess the impact of gender diversity on corporate board performance, including factors such as the presence and proportion of female directors, female directors with family ties and the gender of CEOs. The study covers 152 listed companies on the HNX and HOSE exchanges from 2015 to 2022. The GMM model is chosen for its robustness in dealing with endogeneity issues and its ability to provide consistent estimates in the presence of potential correlation between explanatory variables and unobserved effects. This approach allows for a more accurate evaluation of how gender diversity influences operational efficiency and how these companies manage financial difficulties within the sample period.

Our research shows that diversity on the Board of Directors (BOD) as well as female CEO employment not only does not reduce the financial distress of businesses but also increases this situation. However, being both a female and a family member of the BOD is negatively related to financial distress. This can help female members who have connections with the family contribute to the work of adjusting and monitoring the business's operations to suit the family's goals, contributing to improving the operational efficiency of the business. BOD maximizes profits and contributes to promoting the company's sustainable development goals. From there, limited ability to travel and financial exhaustion.

The empirical results obtained from this study contribute to building a solid knowledge base, supporting businesses in the policymaking process and providing empirical evidence to enrich learning materials.

This study provides empirical evidence on how gender diversity influences the financial challenges of businesses, especially within the context of publicly listed companies in Vietnam. It stands out from previous literature by specifically focusing on listed companies in Vietnam. By analyzing the impact of gender diversity on financial difficulties, this study also clarifies how various factors can influence management and business development.

This paper aims to investigate whether female directors of companies are more likely to appoint audit firms (AFs) with women in high-level positions adopting monitoring, reputation and homophily theories.

The paper uses ordinary least square to test the hypotheses using a unique hand-collected data set obtained from various sources. To mitigate potential endogeneity and selection bias issues, system generalized method of moments (GMM) and Heckman two-stage procedures are used. Additionally, alternative independent and dependent variables are created to strengthen the validity of main results.

The findings show that female directors are more likely to appoint AFs with women in high-level positions. Non-independent female directors, compared to independent ones, are particularly inclined to do so. These results are supported by further analyses using system GMM, Heckman two-stage procedures and alternative variables.

This study examines how female directors influence companies’ choices of AFs with women in high-level positions. It introduces unique audit firm governance proxies and variables specific to developing countries. The study also controls for various corporate governance, company and audit firm characteristics.

This study aims to analyze the impact of board gender diversity (BGD) on a bank’s financial stability. Moreover, it also examines whether digitalization and income diversification act as mediators (individual and serial) in this relationship.

Hypotheses were tested using data from Pakistan’s banking sector financial statements from 2017 to 2021. A two-step analytical approach was used: panel regression in STATA for initial hypothesis examination, followed by mediation analyses using bootstrapping in SPSS. In addition, mixed-effect ML regression was conducted to verify causation and ensure robust findings.

Results demonstrate that BGD, digitalization and income diversification are positively associated with higher financial stability. Moreover, as hypothesized, both digitalization and income diversification individually and sequentially mediate the relationship between BGD and banks’ financial stability.

It is important to acknowledge the study’s limited five-year timeframe. Further investigation is needed to determine the optimal board compositions, especially considering the study’s inclusion of up to 25% female directors on boards.

Policymakers and top management should prioritize increasing the number of female directors on boards for diversity. Banks that involve female directors can benefit from the synergies between gender diversity and digitization, along with the unique perspectives these women offer. This cooperative dynamic enables banks to explore and capitalize on innovative income diversification opportunities, enter new markets and ensure financial stability.

Research findings emphasize promotion of gender equality and meritocracy through increased female director representation. This fosters a more inclusive and cooperative decision-making culture, benefiting individual banks and setting a model for other sectors. Ultimately, it contributes to greater social acceptance of women executives.

The study reveals a novel mechanism, emphasizing the revolutionary impact of active female directors in tandem with digitalization, amplifying chances for income diversification and accelerating increased bank viability.

This study aims to investigate the work experience of women in hospitality with the job demands-resources (JD-R) theory. By focusing on job resources, job demands (emotional and physical), work engagement, emotional exhaustion and turnover intention, this study examines (1) female workers’ perceptions of these variables; (2) how race, age and job positions affect perceptions and (3) structural relationships among these variables.

The study collected 412 responses from American female hospitality workers via an online survey. Descriptive statistics and independent T-tests were conducted using SPSS to analyze professional experiences and differences based on individual characteristics. Path analysis was conducted using Amos 28 to assess the structural relationships among variables.

Female hospitality workers generally feel engaged, experience low emotional exhaustion and have low turnover intention. Younger or front-line women reported higher emotional exhaustion, lower engagement and greater likelihood to quit. Unexpectedly, emotional resources do not significantly affect work engagement, but physical resources increase it.

The study provides directions to establish specific well-being and organizational support initiatives to retain female hospitality workers.

This study offers fresh insights into the JD-R theory by examining the experiences of American female hospitality employees using a non-comparative lens. Although existing literature highlights women’s unfavorable positions relative to male counterparts, this study reveals rather positive perspectives. Additionally, it presents a dual psychological process of how job resources and demands affect women’s work experience and the varying impacts of job demands on work engagement.