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Influence of Governance Practices on Sustainable Development of the Sub-Saharan African Countries
(International Journal of Scientific and Research Publications, 2026) Mbugua, James C.N.; Tirimba, Ibrahim; Sporta, Fred O.
The study sought to assess the influence of governance practices on sustainable development of the Sub-Saharan African countries. The research was guided by legitimacy theory. The study used a longitudinal panel design and incorporated both the descriptive and explanatory elements that looked at sustainability dynamics in the Sub-Saharan African region. The study adopted a positivist research philosophy. It sourced data from 49 Sub-Saharan African countries over 24 years, from 2000 to 2023. The study relied on secondary data from the World Bank Data Bank (2025), UNDP (2025), Fund for Peace (2025) and Sustainable Development Report (2024). Descriptive analysis and regression models were used for analysis. The study found that governance improvements in areas of control of corruption, voice and accountability and government effectiveness did not directly contribute to sustainable development in Sub-Saharan Africa. Practical interventions should focus on enhancing governance effectiveness through capacity building and institutional reforms.
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Sustainability reporting and financial performance of listed financial firms in Kenya
(Scientific Publishing Institute., 2023) Wanyoike, Charles Githira.; Omollo, Joel Agutu.
Financial sector stability is vital for the realization of economic development. Failure to incorporate environmental, social and governance (ESG) elements into corporate strategies can lead to corporate failure. Through the adoption of a descriptive research design, this study aims to determine the relationship between sustainability reporting and the financial performance of financial companies listed on the Nairobi Securities Exchange (NSE) in Kenya. Through the census method, the study population of twenty-three listed financial firms was obtained, and secondary data for the period from 2015 to 2021 was extracted through content analysis. Data on predictor variables were obtained through a document check index utilizing a non-refined exploratory factor analysis, while data on the response variable were obtained directly from annual reports. The data were analyzed through descriptive and inferential statistics. Modelling was further adopted through feasible generalized least squares (FGLS) to counter the problem of first order serial correlation. The findings indicate a positive and significant relationship between ESG reporting and the financial performance of listed financial firms in Kenya. The results imply that firms should embrace sustainability since ESG drives corporate strategies and will help firms to improve their performance, which will bring improved resilience. Focus on the triple bottom line enables value maximization for the three Ps – profit, people, and planet – thus facilitating sustainable development. The harmonization of reporting guidelines which is process-driven rather than content-driven will minimize greenwashing by firms. Lastly, industry players should ensure the availability and quality of ESG data.
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Do board structure and director compensation influence financial reporting quality? Evidence from nonfinancial listed firms in Anglophone Sub-Saharan Africa
(Emerald publishing, 2026) Kariuki, Peter W.; Nyakarimi, Samuel N.; Chepkorir, Benaline
Purpose This study explores the influence of board structure and director compensation on the financial reporting quality of nonfinancial firms listed in Sub-Saharan Africa. Design/methodology/approach Data from 110 firms listed on 10 securities exchanges from 2017 to 2023 were utilized. The Beneish M-Score serves as a proxy for earnings manipulation, employing a limited-dependent-variable estimation methodology with a multi-country panel dataset. Following the model specification tests, a random effect model was fitted. A pooled OLS model was employed for a robustness check. Findings The study finds that larger boards and higher directors' compensation are associated with a lower likelihood of earnings manipulation, indicating improved monitoring efficacy. Additionally, larger firms are less likely to engage in earnings manipulation, underscoring the need to enhance monitoring of smaller firms. Originality/value This study bridges the gap in the literature by providing cross-country evidence of financial reporting quality in Sub-Saharan Africa, an underexplored emerging market context. It contributes to the corporate governance literature by providing empirical evidence on the influence of board structure and directors' compensation on financial reporting quality across countries.
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Data Mining in Pediatric Radiology in the Era of Artificial Intelligence
(Springer, 2026) Guarnera, Alessia; Ghosh, Adarsh; Gikera, Rufus; Vahdati, Sanaz; Zhang, Kuan; Gupta, Amit
Data mining is the systematic process of extracting useful knowledge from large multimodal datasets and is increasingly enabled by artificial intelligence (AI) methods. Pediatric radiology is a natural field for data mining because multimodal data sources, including images, reports, metadata, and electronic health records, together capture rich information on anatomy, disease, treatment, and outcomes. In the current era, the boundaries between data mining and AI are increasingly blurred. AI assists in key steps of the mining workflow through automated labeling, information extraction, and representation learning, while data mining provides the high-quality curated datasets that underpin model performance, generalizability, and safety. This review, therefore, examines both domains together, emphasizing their interdependence in the pediatric context. We describe core concepts and workflows of data mining in pediatric radiology, including data collection, linkage, annotation, analysis, validation, and governance, and outline how modern AI tools such as deep learning, large language models, multimodal fusion, and federated learning support advanced pattern discovery across limited and heterogeneous pediatric datasets. We summarize current and emerging clinical applications across diagnosis, prognosis, radiation dose monitoring, operational analytics, reporting safety nets, and continual learning. We then discuss current challenges related to data quality and standardization, ethics, regulation, workflow integration, resource disparities, sustainability, and explainability. Finally, we highlight future perspectives, including synthetic data generation, foundation models, structured reporting, and pediatric-focused ethical frameworks that aim to enable safe, transparent, and equitable integration of AI-driven data mining to improve outcomes in children.
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Effect of sustainable development financing on economic growth in Kenya.
(IOSR Journals., 2024) Wanyoike, Charles Githira.; David, Jeremiah Makanga.
For any economy to grow, financing is a very vital aspect. This study looks at how Kenya's economy is affected by financial resources for sustainable development. It specifically looks at the impact on Kenya's economic growth of foreign direct investment, remittances, external debt, and domestic credit to the private sector. The study was founded on the four theoretical foundations: Electric Paradigm Theory, Dependency Theory, Financial Intermediation Theory, and Institutional Theory. The study adopted correlational research design. Yearly data was collected from 1990 to 2023 on FDI inflows, remittance, external debt, domestic credit and GDP. The study used time series data since the data was collected on yearly basis. Once the data was collected, it was analyzed using STATA software. Descriptive statistics and inferential statistics were carried out as well as pre and post diagnostics tests. The findings showed that foreign direct investment (FDI) had a favorable effect on economic growth. It was also demonstrated that remittances, which encourage investment and the development of human capital, are essential to Kenya's economy. The findings also showed that, despite the possibility that they would negatively impact economic growth, legislative measures should be implemented to maximize their developmental effects. Based on the results, it can be said that Kenya's external debt is a barrier to its economic development. It was suggested that in order to draw foreign capital into important industries like manufacturing, technology, and infrastructure, governments should concentrate on diversifying investment opportunities. Enhancing financial inclusion initiatives is vital; further research is needed to expand on the discoveries about remittances' impact on development. There is also a need to conduct longitudinal studies to monitor the long-lasting effects of sustainable financial development on sustainability and financial stability.