This study examines the mechanisms by which Black women leaders develop coping and sustainable strategies to navigate challenges in senior leadership roles in the UK. It addresses structural barriers, intersectional challenges, and emphasizes the importance of inclusive leadership perspectives. The research adopts an inductive and qualitative methodology, using interviews to uncover new insights into leadership dynamics and providing recommendations for policymakers and organizations.

This study delves into the sustainable strategies adopted by Black women leaders in the UK to navigate intersectional challenges. It examines the leadership traits and qualities developed, the barriers faced, and the coping mechanisms utilized to thrive in their roles. The research highlights the intersection of racism, sexism, and social identity, offering valuable insights for future leaders and organizational support.

This research investigates factors influencing the adoption of National Geospatial Information Management (NGIM) in Small Island Developing States (SIDS). It applies the Technology-Organization-Environment (TOE) framework to explore the role of climate vulnerability and national innovation systems (NIS) as moderating factors. Using quantitative methods and Partial Least Squares Structural Equation Modeling (PLS-SEM), the study offers actionable insights for policymakers and practitioners.

This exploratory study examines the relationship between pay dynamics perceptions and workplace acceptance of new technology, focusing on pay equity, satisfaction, and communication. Using a time-lag survey design with 396 full-time employees across U.S. businesses, the study highlights the significant impact of pay-related attitudes on the perceived ease and utility of new technologies. Findings suggest that pay fairness and clear communication strengthen perceptions of technological utility and ease of use. Implications emphasize adopting better pay practices to foster technology acceptance in organizational contexts.

This research explores the influence of pay dynamics on technology perception, integrating fairness and equity into the Technology Acceptance Model (TAM). It examines the role of pay equity, satisfaction, and transparency in shaping the perceived ease of use (PEOU) and usefulness (PU) of technology adoption, highlighting implications for equitable pay practices and strategic pay communication.

This study examines how the ownership type of healthcare institutions (for-profit vs. not-for-profit) influences nurse retention intent and their willingness to recommend the nursing profession. Using an empirical qualitative approach, data is collected from interviews with bedside nurses across various healthcare settings to explore leadership and motivational dynamics.

This research proposal examines why eligible and informed veteran entrepreneurs do not consistently participate in the Small Business Administration 7(a) loan program, asking how perceived program design and institutional decoupling shape institutional trust and participation intentions. Grounded in institutional theory, it plans a qualitative study using semi-structured interviews with approximately 30 veteran entrepreneurs in the Tampa, Florida area, supported by descriptive firm data and thematic coding. Empirical findings are not yet available; the work aims to inform how federal capital access programs are structured and communicated to improve engagement.

This doctoral study shifts the focus of financial inclusion research from access to outcomes, asking how digital financial usage is associated with financial wellness among unbanked and underbanked U.S. households and how financial literacy and institutional trust shape this relationship. Integrating Financial Capability Theory and the Technology Acceptance Model, it tests a moderated mediation model using nationally representative microdata from the 2021 and 2023 FDIC National Survey of Unbanked and Underbanked Households, with financial literacy as mediator and institutional trust, income and education as moderators. The findings are intended to inform fintech product design, financial institutions, CDFIs and policymakers seeking outcome-based measures of financial inclusion.

Air pollution in cities has been a major problem, and road transport is a major contributor to nitrogen dioxide (NO₂) and particulate matter (PM). LEZs have become a mainstream regulatory intervention, especially in Europe, but the effectiveness of these strategies is limited by their fixed geographical boundaries, slow feedback and their poor sensitivity to evolving urban dynamics. New developments in Digital Twin (DT) technologies provide a platform to approach adaptive, real-time governance of urban air quality through continuous sensing, predictive modelling and data-driven decision support. The present paper has provided a systematic analysis of the technological and Governance underpinnings needed to facilitate DT-driven LEZs. It investigates the purpose of sensing infrastructures and data structures, and machine learning, computer vision and algorithmic traffic models such as microscopic car-following models that convert raw urban data into useful environmental intelligence. In the review, these technologies are also placed in the larger framework of urban data governance, smart-city preparedness, and adherence to the European General Data Protection Regulation (GDPR). The main strength of this paper is the formulation of an integrated framework that connects perception, mobility modelling, emissions estimation, and policy enforcement in a consistent set of DT-supported LEZ ecosystem. The synthesis of technological innovations and institutional and legal aspects guides the paper to offer advice on the implementation of equitable, scalable, and empirically supported interventions to address air quality in European cities and outline important directions of future cross-city benchmarking and standardisation in the research field.

Despite sustained global investment in financial literacy initiatives, their impact on micro-business performance remains inconsistent and insufficiently explained, particularly in emerging markets. Existing approaches largely assume that financial knowledge and skills translate linearly into improved decision-making and firm outcomes. However, this assumption overlooks the complex, uncertain, and context-dependent environments within which micro-entrepreneurs operate. This paper develops a conceptual framework that advances the notion of financial wisdom as a higher-order construct explaining how individuals effectively translate financial knowledge into action. Financial wisdom is proposed as the capacity to decide well under conditions of uncertainty, constraint, and complexity — the quality of financial judgment that knowledge alone can inform but never replace. Formally defined, financial wisdom is the integrative capacity to apply financial knowledge, attitudes, and behaviors through context-sensitive judgment, experiential learning, and adaptive reasoning in ways that produce effective financial decisions under real-world conditions. Building on insights from behavioral decision theory, bounded rationality, ecological rationality, and practice-based perspectives, the paper positions financial wisdom as the critical mechanism linking financial literacy to micro-business performance. The framework contributes to theory by challenging cognition-centric views of financial capability and by offering a theoretically grounded explanation for persistent empirical inconsistencies in the financial literacy–performance relationship. Contextual factors are theorised as a four-dimensional moderating construct; encompassing resource constraints, institutional voids and market informality, socio-cultural norms and embeddedness, and environmental volatility — that shapes both the development of financial wisdom and its translation into performance outcomes. From a practitioner perspective, the framework reframes financial capability development by emphasising decision-making competence over knowledge acquisition alone. The paper concludes by outlining a set of propositions and a research agenda for empirically examining financial wisdom and its implications for improving micro-business outcomes in resource-constrained environments. The paper argues that if financial capability development is to produce lasting impact in emerging markets, the cultivated wisdom of the practitioner must be placed at the centre of both theory and intervention design.