https://scientificacademic.com/index.php/tsj/issue/feed 2025-06-29T21:51:34+08:00 Dr. Irfana Memon irfanahameed@quest.edu.pk Open Journal Systems <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> https://scientificacademic.com/index.php/tsj/article/view/42 2025-06-29T21:36:42+08:00 Abdulla Mohammed Saif Ali Alshamsi jalil@uthm.edu.my Abdul Jalil Omar jalil@uthm.edu.my

<p><strong>Objective:</strong> This study investigates the mediating effect of AI Training on the relationship between AI application factors and Crisis Management within the Abu Dhabi Police Department. It aims to enhance understanding of how AI integration, particularly through training, can improve crisis response effectiveness.</p> <p><strong>Research Method:</strong> A quantitative approach was employed using Structural Equation Modeling; Partial Least Squares (SEM-PLS) via SmartPLS software. Data were collected from 346 employees working in AI-utilized departments within the Abu Dhabi Police.</p> <p><strong>Findings:</strong> The results demonstrate a robust model with moderate explanatory power and good model fit. AI Training significantly mediates the relationship between Predictive Policing, Data Analysis, Emergency Response, and Surveillance with Crisis Management. However, AI Training does not mediate the relationship between Security and Crisis Management. These findings suggest that AI Training plays a crucial role in optimizing crisis management outcomes.</p> <p><strong>Originality:</strong> This study provides empirical insights into the specific role of AI Training as a mediating factor in AI-based crisis management frameworks, particularly within law enforcement settings. It contributes to a deeper understanding of how training can bridge AI application and practical crisis response</p>

2025-06-29T00:00:00+08:00 Copyright (c) 2025 Tropical Scientific Journal https://scientificacademic.com/index.php/tsj/article/view/39 2025-05-03T12:33:59+08:00 Abdelrahman Saeed Khamis Saeed Alsharji hamidun@uthm.edu.my Hamidun Mohd Noh hamidun@uthm.edu.my

<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>

2025-05-07T00:00:00+08:00 Copyright (c) 2025 Tropical Scientific Journal https://scientificacademic.com/index.php/tsj/article/view/43 2025-06-29T21:51:34+08:00 admin admin adminojs@scientificacademic.com Ali Hassan Hassan Al Hassani norliana@uthm.edu.my Norliana Sarpin norliana@uthm.edu.my

<p><strong>Objective:</strong> This study aims to examine the relationship between innovation constructs, specifically Product Innovation and Process Innovation, and organizational performance in the oil and gas sector, with a particular focus on the mediating role of employee empowerment within the Abu Dhabi National Oil Company (ADNOC).</p> <p><strong>Research Method:</strong> A quantitative research approach was employed, collecting data from 302 ADNOC employees. The study utilized the Structural Equation Modelling technique using Partial Least Squares (SEM-PLS) in the SmartPLS software to develop and validate the proposed research framework</p> <p><strong>Findings:</strong> The results revealed significant indirect effects of both product and process innovation on organizational performance through the mediating role of employee empowerment. The findings demonstrate that employee empowerment partially mediates these relationships, underscoring its strategic importance in maximizing the impact of innovation on performance outcomes.</p> <p><strong>Originality:</strong> This study contributes to the limited empirical research in the oil and gas industry by highlighting employee empowerment as a crucial mechanism linking innovation efforts to improved organizational performance. The framework offers practical implications for leveraging human capital in innovation strategies within high-risk and complex industrial environments</p>

2025-06-30T00:00:00+08:00 Copyright (c) 2025 Tropical Scientific Journal https://scientificacademic.com/index.php/tsj/article/view/40 2025-05-28T11:20:21+08:00 Khalid Suhail Almas Mohamed Aldhaheri mhafizal@uthm.edu.my Mohd Hafizal Ishak mhafizal@uthm.edu.my

<p><strong>Objective:</strong> To develop a conceptual framework that explores the behavioral intention to adopt technology for effective space management and performance measurement in higher education institutions, using the UTAUT model.</p> <p><strong>Research Method:</strong> This study employs a conceptual and theoretical approach, integrating constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT) with relevant technological applications such as IWMS, CAFM, and IoT-based tools. It also incorporates Top Management Support as a moderating variable to examine its influence on technology adoption behavior.</p> <p><strong>Findings:</strong> The proposed framework identifies four critical factors which are Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions as primary drivers of technology acceptance. Top Management Support plays a pivotal moderating role in enhancing motivation, ensuring resource allocation, and aligning institutional goals, thereby facilitating successful technology implementation for space management.</p> <p><strong>Originality:</strong> This study advances existing literature by integrating a widely accepted technology acceptance model (UTAUT) with real-world applications in campus space management. It uniquely positions Top Management Support as a strategic moderator and provides a practical roadmap for digital transformation in higher education facility operations.</p>

2025-05-28T00:00:00+08:00 Copyright (c) 2025 Tropical Scientific Journal https://scientificacademic.com/index.php/tsj/article/view/38 2025-04-27T01:34:53+08:00 Saeed Mohammad Ebrahim Alkhayyal Alnuaimi saba@uthm.edu.my Sabariah Eni saba@uthm.edu.my

<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>

2025-04-27T00:00:00+08:00 Copyright (c) 2025 Tropical Scientific Journal