It is observed that health records and information management practices face innovation deficits despite the raising use of digital health information system. Therefore, this study looked at knowledge acquisition (KA), knowledge sharing (KS), and knowledge use (KU) as correlates of innovative behavior (IB) among health records practitioners (HRP) in southwestern Nigerian teaching hospitals. The correlation-type survey research design was employed. 560 health records personnel make up the population, and a standardised questionnaire was used as the research tool. Cronbach’s alpha values for the tool ranged from 0.82 to 0.94, indicating good internal consistency. Descriptive statistics, Pearson correlation (PPMC), and multiple regression analysis were used to analyse the data at the 0.05 level of significance. The findings indicated KA, KS and KU had significant relationships IB of health records personnel. More importantly, KA, KS, and KU significantly influenced IB of the respondents. KU had the most powerful influence on IB of the respondents, followed by KS and KA. The regression model accounted for a high percentage of 63.6% total variance in IB of the respondents. The research wraps up that building knowledge processes in the teaching hospitals can greatly improve the innovative behaviour of health records practitioners. It further suggests systematic learning systems, shared cultures, and practice-based professional learning to enhance long-term innovation. Received: 15 July 2026 / Accepted: 31 August 2026 / Published: September 2026
The study of foreign policy has always been?defined by competing theoretical paradigms, with idealism and realism being the two most prominent. From an idealist perspective, the ethical and?social aspects of international relations are focused on, and that non-state actors, such as Non-Governmental Organizations and Intergovernmental Organizations, are vital in furthering global governance, diplomacy, and collective security. In contrast to?this, realism focus on power, national interest, and systemic anarchy and argue that conflict is inherent and state the primary unit of analysis in global politics. This article offers a critical overview of these paradigms, based on their historical development, philosophical foundation and current manifestations, and participates in the?scientific-versus-normative debate in foreign policy analysis by questioning the possibility of imposing norms in this area of study. The research, drawing on?both classical and modern theories, demonstrates the connection between these strategies and the formation of foreign policy, international collaboration, and worldwide tranquility. The analysis?calls for the development of sophisticated, context-sensitive approaches that bridge normative commitments with systemic conditions, and advances theory and provides guidance for leaders as they confront intricate global issues. Received: 02 July 2026 / Accepted: 29 August 2026 / Published: September 2026
Population dynamics is still a?key driver of development outcomes including economic transformation, demand for public services, allocation of resources, environmental sustainability, and governance effectiveness. Uganda's young and rapidly increasing population is both a?major opportunity and a challenge to development. Although a young population offers potential for a?demographic dividend or for increased labour productivity, innovation and economic transformation, it also creates massive demands for job creation, health care provision, education expansion, housing, infrastructure development and environmental management. The research focuses on the contribution of big data analytics to enhancing population-based planning for development in Uganda under the Uganda?Vision 2040 and the Fourth National Development Plan (NDP IV), the Sustainable Development Goals and the African Union Agenda 2063. The research design?is qualitative and analytical in nature, drawing upon secondary data integration, policy documents analysis and a comparative analysis of global best practices in data-driven governance. The results demonstrate that big data analytics brings considerable potential in enhancing population estimation, demographic forecasting, spatial targeting of?development interventions, health care planning, education management, urban governance, agricultural transformation, climate adaptation, and public resource allocation. However, the research shows key challenges such as the fragmentation of information systems at all levels of government, lack of interoperability between government data bases, insufficient technical?know-how, unequal digital infrastructure, cyber security threats, and issues of privacy and ethical governance. In the paper it is argued that big data is not a substitute for traditional demographic methods, but can offer population censuses, household surveys and administrative statistics complement through a?national integrated data ecosystem. The paper finds that for Uganda to make a successful transition to data-driven population planning, it must make strategic investments in digital infrastructure, institutional coordination, analytical capacity, responsible?data governance, and partnerships among government, academia and technology stakeholders. The?optimal use of big data has potentials to enhance predictive governance, increase developmental returns, and promote Ugandan path to inclusive and sustainable transformation. Received: 20 July 2026 / Accepted: 31 August 2026 / Published: September 2026
Artificial intelligence (AI) is rapidly changing the landscape of risk governance in financial and insurance industry. Traditional methods of political risk (PRI) and trade credit insurance (TCI) insurance, based on expert judgment, macroeconomic analysis, and historical risk assessment, are now increasingly turning to AI-driven strategies to improve predictive power, risk assessment precision, and strategic decision-making. This systematic review aims at examining the nexus between the artificial intelligence supported strategic leadership, political risk insurance, trade credit insurance, Islamic finance and sustainable governance. The study presents a review of the latest studies, drawn from strategic management, insurance, risk analytics, artificial intelligence, sustainability, and Islamic finance. Using a systematic review methodology, the paper highlights key themes such as AI enabled predictive intelligence, strategic leadership transformation, ethical governance, Shariah compliant risk management, ESG integration and organisational resilience. The results showed that AI technologies have a significant impact on the risk detection, forecasting, and portfolio optimisation capabilities. However, effective implementation requires strategic leadership that can bring together technological innovation and ethical responsibility, transparency, and trust among stakeholders. The review also showcases how Islamic finance principles, such as risk sharing, fairness, transparency, and social responsibility, offer a solid ethical base for AI-driven governance mechanisms. These principles align with sustainability goals, fostering responsible decision-making and value creation for the long term. The paper presents an integrated conceptual framework based on the synthesis of existing evidence, which establishes a connection between strategic leadership for Artificial Intelligence and ethical principles, as well as sustainability objectives, in the field of political risk and trade credit insurance. The study has a theoretical and practical value as it provides a multi-disciplinary view on the future of risk governance. In an era of ever-changing geopolitical and economic circumstances, it suggests that the governance models must be sophisticated, ethical and sustainable. This integration can enhance the overall resilience of institutions, confidence of stakeholders and overall competitiveness in the changing insurance landscape. Received: 02 July 2026 / Accepted: 30 August 2026 / Published: September 2026
The evolution of international river law has undergone a gradual transition from unilateral sovereignty-centred doctrine toward cooperative governance rooted in shared rights and obligations among riparian states. This article uses the Nile Basin as a case study in examining the evolution of international river law. It traces the governing principles of international river law from early doctrines like absolute territorial sovereignty, absolute territorial integrity, and limited territorial sovereignty to contemporary principles of equitable reasonable utilisation, the obligation not to cause significant harm and the duty to cooperate. With the aid of doctrinal and historical legal analysis, the article examines the extent to which these principles have been internalised in the Nile Basin from treaties in the colonial era, post-colonial bilateral agreements, to the emergence of basin-wide institutional frameworks such as the Nile Basin Initiative and Cooperative Framework Agreement and the disputes over the Grand Ethiopian Renaissance Dam (GERD). It was discovered that normative evolution in international river law is constrained by structural sovereignty concerns, flexibility of the interpretation of legal principles, limitation in enforcement and geopolitical asymmetries. However, the paper also reveals that contestation itself has become a mechanism through which legal norms are clarified and adapted to contemporary environmental and development realities. Received: 18 July 2026 / Accepted: 31 August 2026 / Published: September 2026
