This study further explores women’s role in top management in Indonesia, where men still dominate that position. This study underlines the role of women’s boards of commissioners in producing better financial performance in the specific sectors, manufacturing and service sectors, where the power of women to lead these sectors is more optimal. The sample is selected from the Indonesia Stock Exchange for the period 2009–2018. The final sample is 780 observations. This study applies panel data, which is more robust when controlling heterogeneity. Data panel regression is applied to analyze data. This study finds that gender diversity harms market-based performance, while from accounting-based measures, gender diversity has a significant positive effect. This study is applied explicitly in the manufacturing and services industrial sectors; therefore, carefully generalizing the results is necessary. Research in other specific sectors is very open to obtaining specific results in various industries, including developing countries other than Indonesia. The market has not trusted the role of women in top management; there is still a kind of ‘hidden distrust’ about the capabilities of women in running the top leadership captain. The market needs more substantial evidence to believe in women’s performance on the board of directors. Therefore, it is necessary to provide wider opportunities for women to sit on the board of commissioners, as much as men have.

This study is aimed at exploring the degree of association between workforce diversity dimensions and the academic performance of four universities in Ethiopia. The diversity management attributes were diversity, climate, values, and organizational justice; identity, schemas, and communication adapted to the contexts of higher education institutions. The universities were selected purposively, and stratified and systematic sampling techniques were further used to identify respondents. Quantitative and qualitative data were collected to achieve the purpose of the study. Correlation and regression analyses were used to analyze the data. Results from correlation analysis revealed that there are statistically significant positive relations between the dimensions of workforce diversity and academic performance. This implies that the organizational performance of higher education institutions can be significantly influenced by existing diversity. The freedom to express one’s own identity in the university workforce landscape was also observed to be limited in the universities studied, and this has to be improved. A democratic work environment is critical for the productivity of the staff, and an effort has to be geared towards the goal of creating such an environment. The regression analysis indicated that diversity, climate, organizational justice, identity, schema, and communication have statistically significant effects on the academic performance of higher educational institutions in Ethiopia. Finally, academic leaders are advised to apply the transformational leadership style, as it moderates the relationship between diversity management and academic performance.

This paper uses existing studies to explore how Artificial Intelligence (AI) advancements enhance recruitment, retention, and the effective management of a diverse workforce in South Africa. The extensive literature review revealed key themes used to contextualize the study. This study uses a meta-narrative approach to literature to review, critique and express what the literature says about the role of AI in talent recruitment, retention and diversity mapping within South Africa. An unobtrusive research technique, documentary analysis, is used to analyze literature. The findings reveal that South Africa’s Human Resource Management (HRM) landscape, marked by a combination of approaches, provides an opportunity to cultivate alternative methods attuned to contextual conditions in the global South. Consequently, adopting AI in recruiting, retaining, and managing a diverse workforce demands a critical examination of the colonial/apartheid past, integrating contemporary realities to explore the potential infusion of contextually relevant AI innovations in managing South Africa’s workforce.

This study seeks to explore the information value of free cash flow (FCF) on corporate sustainability and investigate the moderating effects of board gender diversity and firm size on the association between FCF and corporate sustainability of Thai listed companies. The dataset consists of companies listed on the Stock Exchange of Thailand (SET) in 2022. Multivariate regression analysis is executed in this study. Subsequently, PROCESS macro served to evaluate the proposed hypotheses. This study found that FCF has a significant positive relationship with corporate sustainability. As well, board gender diversity and firm size both moderate the relationship between FCF and corporate sustainability, such that the positive effect of FCF on corporate sustainability is stronger when the proportion of female boards diminishes, while firm size is smaller. However, when firms have a larger proportion of females on the boards of directors for all levels of firm size, free cash flow indicates that there is no statistically significant effect on corporate sustainability. This study contributes to FCF and sustainability literature by understanding the extent of corporate sustainability.

The study investigates the impact of corporate gender diversity on dividend payouts in Asia-Pacific countries. The study used the data of 610 listed firms in the Asian Pacific region over eleven years, from 2006 to 2016, with 6710 observations. The regression results revealed that the representation of women on board and at least 30% on board positively relates to dividend payout. Board size and board independence have a significant negative relationship with dividend payouts. Overall, results suggest that gender diversity on corporate boards has a greater propensity to pay dividends in the mix of ownership structure, strong and weak corporate governance compliance, and horizontal agency conflict.

This study investigated the changing land use patterns and their impacts on ecosystem in the Teesta River Basin of northwestern Bangladesh. Although anthropocentric land use patterns, including agricultural land use, settlements, built areas, and waterbody loss, have been increasing in the Nilphamari district, by negatively affecting local ecosystems, they have not been identified by prior research. Limitations of contemporary literature motivated me to work on this crucial ground in the Teesta River Basin in Northwestern Bangladesh. This study applied a mixed research approach to identify the study objectives. Firstly, the land use and land cover (LULC) changes which occurred between 2000 and 2020 were detected using satellite imagery and supervised classification method. In addition to the detection of LULC changes, the study explored the people’s perceptions and experiences about the ecosystem changes resulted from the LULC changes over the last 20 years, conducting stakeholders’ consultations and household surveys utilizing a semi-structured questionnaire. The findings indicated that waterbodies in Nilphamari district have significantly decreased from 378 km² in 2000 to 181 km² in 2020. In the same way, the vegetation coverage has reduced 187 km² between the years 2000 and 2020. On the contrary, agricultural lands (croplands) have increased from 595 km² to 905 km² and settlements have increased from 81 km² to 206 km² between the years 2000 and 2020. From the chi-square test, it was found a significant association between ecosystem change and biodiversity loss. It was further identified that waterbody decreases have significant impacts on aquatic ecosystems. The results of this study also indicated that due to the introduction of foreign tree species, local and native species have been significantly decreasing over the time. This study emphasizes the non-anthropocentric and inclusive land use policy implications for protecting life on land and preserving the aquatic ecosystem in Bangladesh.