https://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://scientificacademic.com/index.php/tsj/article/view/47 <p><strong>Objective:</strong><br>This study aims to develop and validate a structural model that examines trustworthiness as a mediating variable between user perceptions specifically Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) and the intention to adopt AI technologies in ADNOC’s supply chain management.</p> <p><strong>Research Method:</strong></p> <p>A conceptual model was formulated based on the Technology Acceptance Model (TAM) and relevant literature. Primary data were collected through a structured questionnaire survey administered to 328 employees of the ADNOC supply chain department. The model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS software.</p> <p><strong>Findings:</strong><br>The results confirmed that all constructs exhibited strong internal consistency, convergent validity, and discriminant validity. Structural model analysis showed that PEOU and PU significantly influence Trust, which in turn strongly predicts Behavioral Intention to Use (BIU). The model demonstrated moderate to strong explanatory power and substantial predictive relevance, highlighting trust as a critical mediator in AI adoption.</p> <p><strong>Originality:</strong><br>This study extends the traditional TAM by incorporating trustworthiness as a mediator, offering a novel perspective on AI adoption in high-stakes, public sector environments. The validated model provides both theoretical contributions and practical insights for guiding successful AI implementation in complex organizational settings like ADNOC.</p> Mai Ali Mohammed Ali Alshamsi Norasmiha Mohd Nor Copyright (c) 2025 Tropical Scientific Journal https://creativecommons.org/licenses/by-nc-sa/4.0 2025-08-02 2025-08-02 4 2 84 105 https://scientificacademic.com/index.php/tsj/article/view/51 <p><strong>Objective:</strong> This study investigates the impact of strategic foresight on the performance of the Ras Al Khaimah (RAK) Police General Headquarters in the United Arab Emirates (UAE), addressing the lack of empirical evidence on its role in enhancing organizational resilience within policing contexts</p> <p><strong>Research Method:</strong> A quantitative research design was employed, collecting data through a structured questionnaire administered to employees in the Strategic Department of RAK Police. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used for hypothesis testing, with analyses conducted using SPSS and SmartPLS software.</p> <p><strong>Findings:</strong> The results of the study indicate that strategic foresight practices have a significant positive impact on the organizational performance of RAK Police. Specifically, environmental scanning was found to enhance performance by 26% (β = 0.260, p &lt; .001), demonstrating that systematic monitoring of socio-political, economic, and technological developments enables the agency to anticipate threats and make informed decisions. Integration capabilities contributed a 35% improvement (β = 0.347, p &lt; .001), highlighting the importance of embedding foresight insights into internal processes and decision-making frameworks to enhance organizational adaptability. Furthermore, strategic choice capabilities led to a 38% increase in performance (β = 0.380, p &lt; .001), emphasizing the value of flexible decision-making structures that allow the agency to adjust strategies in response to evolving circumstances. Collectively, these findings underscore that environmental scanning, integration, and strategic choice work synergistically to optimize law enforcement outcomes and strengthen overall organizational effectiveness.</p> <p><strong>Originality:</strong> This study provides empirical evidence supporting strategic foresight as a key driver of performance in the policing sector in the UAE. It offers practical insights for policymakers and public security practitioners and highlights the value of institutionalizing foresight practices to proactively navigate emerging threats and opportunities. Future research could examine potential mediating or moderating factors such as leadership style, technological innovation, and organizational culture.</p> Ahmed Mohammed Khalfan Ghaith Al-Suwaidi Sabariah Eni Copyright (c) 2025 Tropical Scientific Journal https://creativecommons.org/licenses/by-nc-sa/4.0 2025-11-16 2025-11-16 4 2 106 116