https://www.scientificacademic.com/index.php/tsj <p style="user-select: auto;">The Tropical Scientific Journal (TSJ) is a peer-reviewed open-access journal. It publishes two issues every year as March-August and September-February. TSJ follows a quick online first policy and updates the running issue regularly. It publishes the articles immediately on the acceptance and serves as a forum for the publication and dissemination of original research works. TSJ also published special issues based on requests. The scope of the journal is not only limited to science and technology issues but also related to creativity and innovation in scientific research works.</p> en-US Tropical Scientific Journal 2710-5997 https://www.scientificacademic.com/index.php/tsj/article/view/38 <p><strong>Objective:</strong> This study aims to investigate the impact of strategic agility on human resource management (HRM) within the United Arab Emirates (UAE) Ministry of Interior (MoI), with a particular focus on how agile practices enhance HR functions amid bureaucratic and operational challenges</p> <p><strong>Research Method:</strong> This study aims to investigate the impact of strategic agility on human resource management (HRM) within the United Arab Emirates (UAE) Ministry of Interior (MoI), with a particular focus on how agile practices enhance HR functions amid bureaucratic and operational challenges</p> <p><strong>Findings:</strong> The results show that strategic agility significantly influences HRM practices in the MoI. Agile Organizational Structure (β = 0.621, p &lt; 0.001) and Technology and Data-Driven approaches (β = 0.377, p &lt; 0.001) exhibited strong positive effects. Adaptive Leadership had a moderate but significant impact (β = 0.137, p = 0.048). Conversely, Continuous Innovation and Learning showed a significant negative relationship (β = -0.286, p &lt; 0.001), indicating potential difficulties in integrating innovation within existing frameworks. Dynamic Strategy Formulation was found to have no significant effect (β = 0.011, p = 0.756).</p> <p><strong>Originality:</strong> This study addresses a critical gap in empirical research by examining the role of strategic agility in public sector HRM, specifically within the context of the UAE Ministry of Interior. It highlights the dual role of enabling factors such as organizational structure and technology, alongside barriers like innovation resistance, offering actionable insights for HR transformation in public institutions</p> Saeed Mohammad Ebrahim Alkhayyal Alnuaimi Sabariah Eni Copyright (c) 2025 Tropical Scientific Journal https://creativecommons.org/licenses/by-nc-sa/4.0 2025-04-27 2025-04-27 4 1 1 10 https://www.scientificacademic.com/index.php/tsj/article/view/39 <p><strong>Objective:</strong> This study investigates the impact of Artificial Intelligence (AI) integration on the operational efficiency of the Dubai Electricity and Water Authority (DEWA), focusing on five specific AI technologies: AI Procurement in a Box Toolkit, GT Intelligent Controller, One Way Data System, Robotic Process Automation (RPA), and the Spot Robot.</p> <p><strong>Research Method:</strong> A quantitative research design was employed, using a structured questionnaire survey distributed to 253 DEWA employees who have experience using AI technologies. The data were analyzed through multiple linear regression to assess the statistical significance of each AI tool’s effect on organizational performance.</p> <p><strong>Findings:</strong> The analysis led to the development of a conceptual framework demonstrating that four out of the five AI technologies examined had statistically significant effects on DEWA’s operational performance. Among these, the GT Intelligent Controller emerged as the most influential predictor, followed by the AI Procurement in a Box Toolkit and Robotic Process Automation (RPA). In contrast, the One Way Data System exhibited a significant but negative relationship with performance, suggesting challenges related to system integration or compatibility. The Spot Robot did not show a statistically significant impact, indicating that its effectiveness may be limited at present or still in an early phase of implementation.</p> <p><strong>Originality:</strong> This study provides empirical evidence on the differential impact of individual AI technologies in a major utility organization. It contributes to the literature by offering a focused, tool-specific analysis of AI adoption and delivers practical insights for strategic, data-driven implementation of AI in the utilities sector</p> Abdelrahman Saeed Khamis Saeed Alsharji Hamidun Mohd Noh Copyright (c) 2025 Tropical Scientific Journal https://creativecommons.org/licenses/by-nc-sa/4.0 2025-05-07 2025-05-07 4 1 11 18