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This study aims to investigate the relationship between female leaders at board and executive levels and e-waste reduction in firms listed on the FTSE All-Share Index.

The study uses a sample of nonfinancial firms listed in the FTSE All-Share Index between 2004 and 2021, comprising 2,523 firm observations. The primary technique used is ordinary least squares, with subsample analysis and the two-stage least squares method used to address endogeneity concerns.

This study suggests that the presence of female directors and executives can bring a more comprehensive and diverse approach to e-waste management, which can contribute to improved e-waste reduction initiatives. However, the study also highlights that the impact of female leadership on e-waste reduction may vary based on factors such as the size of the firm and the industry’s carbon footprint.

The practical implications of this research have noteworthy implications for companies and policymakers alike. By placing importance on gender diversity, companies can reap the benefits of diverse perspectives and approaches when addressing environmental challenges. Policymakers, on the other hand, can contribute to positive environmental outcomes by advocating for gender diversity in corporate leadership.

The novelty of this research stems from its discovery that having female directors and executives in a firm leads to a broader and more varied approach to managing e-waste, ultimately enhancing efforts to reduce it. This underscores the significance of gender diversity in advancing sustainable practices within organizations. The study highlights the distinct viewpoints and experiences that women offer when tackling environmental issues in the corporate sphere.

This research sought to determine if there existed a common set of courses amongst undergraduate leadership degree programs, provide guidance for new program development and program revision, promote discussion about future leadership curriculum development and provide a starting point for developing common leadership curriculum expectations nationally.

Content analysis was performed.

Program course similarities appear to represent the organic development of unofficial common core requirements within undergraduate leadership programs. Further, there appeared to be no significant trend as to which academic department leadership programs were placed.

This study identifies commonly occurring classes in traditional leadership degrees, offering insights for the development of new programs and assessment of current leadership degrees.

Structural mentoring barriers are policies, practices and cultural norms that collectively disadvantage marginalized groups and perpetuate disparities in mentoring. This study aims to better understand structural mentoring barriers at the postdoctoral training stage, which has a direct impact on faculty diversity and national efforts to retain underrepresented groups in research careers.

A diverse sample of postdoctoral scholars (“postdocs”) from across the USA were asked to participate in focus groups to discuss their training experiences. The authors conducted five 90-min focus groups with 32 biomedical postdocs, including 20 (63%) women and 15 (47%) individuals from underrepresented racial/ethnic groups (URG).

A social-ecological framework was used to categorize both the upstream and downstream manifestations of structural mentoring barriers, as well as mentoring barriers, overall. Notable structural barriers included: academic politics and scientific hierarchy; inequalities resulting from mentor prestige; the (over) reliance on one mentor; the lack of formal training for academic and non-academic careers; and the lack of institutional diversity and institutional mentor training. To overcome these barriers, postdocs strongly encouraged developing a network or team of mentors and recommended institutional interventions that create more comprehensive professional development, mentorship and belonging.

For postdoctoral scientists, structural mentoring barriers can permeate down to institutional, interpersonal and individual levels, impeding a successful transition to an independent research career. This work provides strong evidence for promoting mentorship networks and cultivating a “mentoring milieu” that fosters a supportive community and a strong culture of mentorship at all levels.

A perusal of extant literature suggests asymmetric devotions in empirical research that overlooks unique social and industrial dynamics of married working women in highly competitive male-dominated industries. Drawing on the social role theory, the study addressed this asymmetry by proposing a multivariate regression model that examined performance drivers of married female real estate brokers, as mediated by organizational, cognitive and social influences.

The study employed a descriptive design. A structured electronic questionnaire was used to collect data from a sample of 256 married female brokers who are active on online messaging platforms. Snowball sampling was used to reach the research participants. Collected data were subjected to multivariate regression analysis.

The results infer that social influences were the most significant drivers of married female brokers in the real estate industry (r = 0.932, p < 0.05, F = 556.581). Significant interventions of diversity management, work-life balance, family support and access to economic opportunities were found.

In acknowledging the societal stereotype and culturally imposed burdens married women face in emerging economies, the study advanced theoretical, practical and policy initiatives for a more inclusive, supportive and learning-oriented work environment.

The novelty of the paper lies in its exposition of the unregulated real estate brokerage market in an emerging economy and the dynamic organizational, cognitive and societal influences of married female brokers.

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

The authors contribute to the literature on leadership by investigating how characteristics of principal investigators (PIs) affect innovation performance, and how collaborative and non-collaborative projects moderate this relationship within the context of inter-organisational research projects.

The authors analysed panel data from the National Science and Technology Information Service on 171 research projects within a biomedical and regenerative medicines programme overseen by the Korea Health Industry Development Institute. The authors used a hierarchical regression model, based on the ordinary least squares method, to examine the relationship between PI characteristics and performance, considering both quantity and quality.

The results show that the characteristics of PIs have diverse effects on the quantity and quality of innovation performance. Gender diversity within PIs negatively affects the quality of innovation performance, while the capacity of PIs positively influences it. Moreover, the degree of PI’s engagement is positively associated with the quantity of innovation performance but does not have a significant relationship with the quality of performance. In terms of moderating effects, collaborative projects with multiple leaders seem less reliant on PI capacity than non-collaborative projects led by a single leader, in terms of innovation performance.

The results contribute significantly to the literature on innovation management by examining the role of leadership in collaborative environments to enhance innovation performance, addressing the need for empirical evidence in this area. Analyses of PI characteristics in government R&D management can lead to improved team performance, more efficient processes and effective resource allocation, ultimately fostering innovation.

This paper examines gender diversity in the Australian valuation industry from the perspective of valuers in senior management and leadership roles and discusses gender diversity policies and practices in their organisations. Then, it explores the initiatives that can be implemented to improve gender diversity in the Australian valuation industry.

A focus group discussion was conducted with valuers in senior management and leadership roles from selected large valuation firms and government valuation agencies in Melbourne, Australia. Data collected through the focus group discussion was combined with secondary data sourced from journals, online articles and archival materials.

The findings reveal that whilst gender diversity in the Australian valuation industry has improved over the years, females remain underrepresented. Nonetheless, whilst some valuation companies have recognised the need to address the underrepresentation of women and introduced specific gender-focussed human resource policies and practices, these initiatives are not streamlined and implemented across the industry.

The study highlights the need for closer collaboration between key stakeholders such as universities, professional associations, valuation companies and government agencies in devising strategies to attract female talents into the valuation industry.

The paper is the first empirical study to assess gender diversity in the Australian valuation industry from the perspective of valuers in management and leadership roles. The proposed policies can inform future initiatives to improve gender diversity in the valuation industry.

The importance of inclusive leadership has been recognized by scholars and practitioners alike. However, the ways in which inclusive leadership can be achieved and implemented in hospitality seem to be unclear. In order to answer how inclusive leadership can be put into practice in hospitality, this paper explores (1) employees' and managers' perceptions of inclusion and (2) diversity practices in hotel organizations.

By espousing a qualitative methodology, semi-structured interviews with management representatives, as well as local and foreign employees of 4- and 5-star hotel organizations, were utilized in order to identify what inclusive leadership looks like in theory and in practice. Data were analyzed via thematic analysis and the utilization of the NVivo software.

Findings suggest that an inclusive leader should be caring and respectful, pursue fair treatment, support employee development, express employee appreciation and recognize their role in social inclusion more widely.

This original work reduces the research-practice gap in the field of diversity management by providing succinct recommendations to hospitality managers in the form of an adaptable best practice framework. The diagrammatic framework includes the values related to inclusive leadership as they emerged, as well as the practices through which each theme could be enacted.

Successful digital transformation involves all areas which bring new impacts and challenges to the leadership of the enterprise. From the perspective of organizational identification, the authors construct a theoretical model of digital leadership–digital strategic consensus–digital transformation and explore the different moderated mediation effects of diversity types.

This paper obtains data from 351 Chinese science and technology enterprises and uses regression analysis and bootstrap analysis to test the research hypotheses.

The results demonstrate that digital leadership has a positive impact on digital transformation. Digital strategic consensus partially mediates the linkage between digital leadership and digital transformation. Disparity diversity and variety diversity positively moderate the mediating role of digital strategic consensus between digital leadership and digital transformation, respectively; and separation diversity negatively moderates the mediating role of digital strategic consensus between digital leadership and digital transformation.

The research innovatively measures digital leadership and digital transformation. It expands the application of leadership, strategic consensus, diversity and other related theories in a digital context and provides a decision-making basis for enterprises' digital transformation.

This study aims to examine how woman corporate leadership indicators and environmental, social and governance (ESG) disclosure in listed banks on Ghana Stock Exchange are related.

Data was obtained from the audited annual reports of the banks for the period 2006–2020. Empirical result estimation was achieved using Panel Corrected Standard Errors.

The result revealed that female chief executive officer (CEO), female board chairperson and board gender diversity are associated with higher disclosure of ESG issues in listed banks in Ghana in overall terms. However, in terms of individual disclosures, female board chairperson positively impacts social disclosure, whereas both female CEO and female board chairperson affect governance disclosure positively.

In this era of business where there is much emphasis on green business and investment by various stakeholders for purposes of ensuring business legitimacy, the result implies that banks must consider females to occupy the positions of CEO and board chairperson since that can help to improve ESG performance of banks.

In this era of business where there is much emphasis on green business, socially responsible investment and impact investment by various stakeholders, the result implies that banks must consider improving the representation of women in leadership since that can help to improve ESG performance of banks and hence ability to attract more investors.

To the best of the authors’ knowledge, this is the first study to provide empirical evidence from a developing country perspective in Sub-Saharan Africa that gender of bank leadership has implications for ESG disclosure.