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 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 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 examines socioeconomic factors influencing work-authorized Hispanic/Latino immigrants to settle in St. Louis. Through qualitative interviews, it highlights determinants such as career and educational opportunities, quality of life, and social networks. Challenges like language barriers and decentralized communities are addressed to provide insights into improving immigrant retention and vitality for the region.

This presentation explores the intersection of geo-politics and business, highlighting key dynamics such as climate change, transformation of technology, and shifting energy resources. It also discusses the challenges and opportunities posed by these dynamics for businesses and business school researchers, offering insights on strategy, supply chain management, and leadership amidst global uncertainties.

This study explores the impact of individual characteristics, such as prior experience and learning preferences, on training methods for geospatial analytics. It highlights tailored training approaches, leveraging both one-on-one and group settings, to enhance employee proficiency. Anchored in the Technology Acceptance Model and Technology-Organization-Environment framework, it integrates learning theories to provide actionable insights for organizations.

Examines training strategies in geospatial analytics, focusing on one-on-one and group training methods, and their impact on proficiency development, leveraging ESRI technologies.