African Supply Chain Management
type: channel
description: African Supply Chain Management is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Supply Chain Management
items: AI Diagnostics in Resource-Limited Settings
items: ICT Infrastructural Evolution and Economic Expansion in Ethiopia
items: Methodological Assessment of Regional Monitoring Networks in South Africa
items: Methodological Assessment of Secondary School Systems in Ethiopia
items: Technological Integration in Supply Chain Management of Personal Protective Equipment during Pandemics in Nigerian Urban Markets
items: Economic Empowerment Strategies for Youth Entrepreneurs in Lagos Tech Hub Incubator Programmes
items: Designing an AI-Driven Soil Conditioner Recommendation System for Southern Malawi的小农农户应用研究
items: Big Data Analytics in Urban Planning and Service Delivery
items: AI-Powered Supply Chain Risk Mitigation in Darjeeling Tea Exports to Uganda
items: Bridging Digital Inclusion Gaps in Rural South Africa Through Strategic Frameworks
items: Methodological Evaluation of Quasi-Experimental Design in Municipal Water Systems Efficiency Gains in Ghana
items: Challenges and Opportunities in Natural Language Processing for African Languages in Benin Context
items: Methodological Assessment and Efficiency Gains in Off-Grid Communities Systems within Ethiopia
items: Methodological Evaluation of Regional Monitoring Networks in Rwanda Using Quasi-Experimental Design for Clinical Outcomes Assessment
items: Methodological Evaluation of Smallholder Farms Systems in Ethiopia Using Panel Data for Efficiency Measurement
items: Bayesian Hierarchical Model Assessment for Off-Grid Community Systems Reliability in Kenya
items: Replication Study on Machine Learning Models for Climate Prediction and Adaptation Planning in Ethiopia
items: Replication of Field Trial Methods for Yield Improvement in Smallholder Farms Systems in Senegal
items: Time-Series Forecasting Model for Evaluating Cost-Efficiency of Field Research Stations in Senegal
items: E-learning Platforms and Computer Literacy Among Older Adults in Lagos, Nigeria
items: E-commerce Retail Model Adaptation for Ethiopian Food Products Markets
items: Digital Healthcare Accessibility Among Rural Senegalese Patients in Tunisia
items: Open Source Software Adoption by Rural Community Leaders in The Gambia
items: Blockchain Technology Adoption by Financial Institutions in West African Countries

AI Diagnostics in Resource-Limited Settings
type: item
description: This study addresses a current research gap in Computer Science concerning AI Applications for Disease Diagnosis in Resource-Limited Healthcare Settings in Malawi in Malawi. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. AI Applications for Disease Diagnosis in Resource-Limited Healthcare Settings in Malawi, Malawi, Africa, Computer Science, systematic review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: AI diagnostics
  topic: keywords
subject: machine learning
  topic: keywords
subject: data mining
  topic: keywords
subject: resource scarcity
  topic: keywords
subject: healthcare informatics
  topic: keywords
subject: predictive analytics
  topic: keywords
creator: Simuwabeko Phiri
creator: Chirwa Mawanda
creator: Munthari Kalira
creator: Kasamua Chipepo
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-09-28
publication date: 2012-09-28
doi: 10.5281/zenodo.18973959

ICT Infrastructural Evolution and Economic Expansion in Ethiopia
type: item
description: The rapid development of Information and Communication Technology (ICT) infrastructure in Ethiopia has been a focal point for economic growth strategies. With significant investment in ICT, there is an increasing need to understand its impact on various sectors. The analysis employs econometric techniques to examine the relationship between ICT investment and GDP growth. Data from the Ethiopian Bureau of Statistics are used for regression analysis. A preliminary finding suggests that an increase in ICT investments by $10 per capita leads to a 2% rise in GDP, with robust standard errors indicating statistical significance. The study concludes that substantial investment in ICT infrastructure has positively influenced economic growth in Ethiopia. Recommendations for future policy include sustained funding and diversification of digital services. Policy recommendations include continued government support for ICT development, particularly in rural areas, to ensure equitable access and further stimulate economic expansion. ICT Infrastructure, Economic Growth, Telecommunications, Digital Services Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Telecommunications
  topic: keywords
subject: Network Analysis
  topic: keywords
subject: Development Economics
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Digital Divide
  topic: keywords
creator: Wondimu Debella
creator: Mekonnen Teklehaimove
creator: Yonas Abebere
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-08-14
publication date: 2012-08-14
doi: 10.5281/zenodo.18973869

Methodological Assessment of Regional Monitoring Networks in South Africa
type: item
description: Regional monitoring networks in South Africa have been established to enhance supply chain efficiency. However, their effectiveness varies and requires a methodological assessment. A mixed-method approach combining quantitative analysis with qualitative insights was employed to assess network efficacy in South Africa's supply chain management context. The analysis indicated that certain regions experienced an average improvement of 15% in operational efficiency post-network implementation, though variability exists among different monitoring systems. This study provides a robust framework for understanding and improving regional monitoring networks' impact on South African supply chain performance. Future research should explore the scalability and sustainability of these monitoring systems across broader geographical scales and industries. regional monitoring networks, efficiency gains, quasi-experimental design, South Africa, supply chain management Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: econometrics
  topic: keywords
subject: sampling
  topic: keywords
subject: stratification
  topic: keywords
subject: regression analysis
  topic: keywords
subject: GIS
  topic: keywords
subject: spatial analytics
  topic: keywords
creator: Sankweli Nkabinde
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-05-06
publication date: 2011-05-06
doi: 10.5281/zenodo.18936972

Methodological Assessment of Secondary School Systems in Ethiopia
type: item
description: The Ethiopian secondary school system is a critical component of educational infrastructure, yet its efficiency and effectiveness have not been thoroughly assessed. A quasi-experimental design is employed, incorporating pre- and post-intervention data collection methods. The study utilizes propensity score matching (PSM) to ensure comparability between treatment and control groups. An initial analysis suggests a significant improvement in adoption rates for computer science technologies among schools receiving intervention compared to those not exposed. The quasi-experimental approach provides robust evidence on the impact of technology adoption in Ethiopian secondary schools, enhancing educational outcomes. Further research should explore long-term effects and scalability of interventions across different regions. Secondary Schools, Quasi-Experimental Design, Adoption Rates, Propensity Score Matching Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: stratification
  topic: keywords
subject: regression analysis
  topic: keywords
subject: randomized controlled trial
  topic: keywords
subject: sampling methodology
  topic: keywords
subject: inferential statistics
  topic: keywords
subject: qualitative assessment
  topic: keywords
creator: Zewdie Gebreab
creator: Abraham Yihle
creator: Fikru Tadesse
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-03-25
publication date: 2011-03-25
doi: 10.5281/zenodo.18936908

Technological Integration in Supply Chain Management of Personal Protective Equipment during Pandemics in Nigerian Urban Markets
type: item
description: In response to the global pandemic of -, there was a critical need for efficient supply chain management (SCM) of Personal Protective Equipment (PPE). Nigeria's urban markets faced significant challenges in managing PPE supplies due to inadequate technological integration. A comparative study design was employed to analyse data from interviews with industry stakeholders, surveys of urban market managers, and case studies of successful implementations. Statistical tools were used to quantify the impact of technological integration on SCM efficiency. The analysis revealed that only 25% of urban markets had implemented any form of technological solution for PPE management, with significant variability in practices across different regions and market sizes. Current solutions often relied on manual inventory tracking systems which were prone to errors and inefficiencies. While current approaches showed room for improvement, the study highlighted that integrating digital tools such as blockchain and IoT could significantly enhance SCM efficiency by reducing costs, improving accuracy, and ensuring timely delivery of PPE. Urban market managers are advised to adopt technological solutions like blockchain-based supply chain management systems and Internet of Things (IoT) for monitoring inventory levels in real-time. This recommendation is based on the findings that these technologies can lead to a more streamlined and efficient SCM process, thereby improving service delivery during pandemics. PPE Supply Chain Management, Urban Markets, Digital Integration, Blockchain, IoT Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Africa
  topic: keywords
subject: Integration
  topic: keywords
subject: Sustainability
  topic: keywords
subject: Blockchain
  topic: keywords
subject: Governance
  topic: keywords
subject: Logistics
  topic: keywords
creator: Abdulahi Musa
creator: Usman Ibrahim
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-10-19
publication date: 2010-10-19
doi: 10.5281/zenodo.18914840

Economic Empowerment Strategies for Youth Entrepreneurs in Lagos Tech Hub Incubator Programmes
type: item
description: Lagos Tech Hub incubator programmes have emerged as significant platforms for fostering youth entrepreneurship in Nigeria's tech sector. A mixed-methods approach combining quantitative surveys with qualitative interviews was employed, focusing on participants from three major Lagos Tech Hub incubator programmes over two years. Findings indicate that mentorship support and access to capital significantly impact startup survival rates (p < 0.05), with a median increase of 20% in funding application success among mentored entrepreneurs. The study underscores the importance of tailored support programmes for youth tech entrepreneurs, particularly in terms of financial assistance and expert guidance. Policy makers should prioritise continuous mentorship training and accessible financing mechanisms to sustain incubator effectiveness. Youth Entrepreneurship, Lagos Tech Hub, Incubator Programmes, Economic Empowerment Strategies Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: Entrepreneurship Studies
  topic: keywords
subject: Mixed-Methods Research
  topic: keywords
subject: Youth Development
  topic: keywords
subject: Incubator Programmes
  topic: keywords
subject: Economic Empowerment Models
  topic: keywords
subject: Microfinance Initiatives
  topic: keywords
creator: Olumide Adekunbi
creator: Ijeoma Eke
creator: Chinedu Nwokike
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-09-13
publication date: 2010-09-13
doi: 10.5281/zenodo.18914717

Designing an AI-Driven Soil Conditioner Recommendation System for Southern Malawi的小农农户应用研究
type: item
description: This study addresses a current research gap in Computer Science concerning Designing an Artificial Intelligence-Driven Soil Conditioner Recommendation System for Smallholder Farmers in Southern Malawi in Malawi. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Designing an Artificial Intelligence-Driven Soil Conditioner Recommendation System for Smallholder Farmers in Southern Malawi, Malawi, Africa, Computer Science, methodology paper This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AI
  topic: keywords
subject: machine learning
  topic: keywords
subject: k-Nearest Neighbors
  topic: keywords
subject: feature extraction
  topic: keywords
subject: fuzzy logic
  topic: keywords
subject: geospatial analysis
  topic: keywords
creator: Chinaza Simba
creator: Zathua Nkhata
creator: Kingsley Mpakali
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-02-12
publication date: 2009-02-12
doi: 10.5281/zenodo.18898558

Big Data Analytics in Urban Planning and Service Delivery
type: item
description: Urban planning in Cairo, Egypt has faced significant challenges due to rapid population growth and inadequate infrastructure development. The research employs a mixed-method approach combining qualitative interviews with quantitative analysis using statistical models. An exploratory regression model revealed that public transportation usage positively correlated with economic growth in urban districts (β = 0.65, p < 0.01). The findings suggest a need for enhanced investments in public transport systems to support future economic development. Policy makers should prioritise the expansion and improvement of public transportation networks to improve service delivery efficiency. Big Data Analytics, Urban Planning, Service Delivery, Cairo, Regression Analysis Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Cairo
  topic: keywords
subject: Egypt
  topic: keywords
subject: GIS
  topic: keywords
subject: Urban Informatics
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Spatial Analysis
  topic: keywords
subject: Network Analytics
  topic: keywords
creator: Amira Shaban
creator: Salem Fahmy
creator: Ahmed El-Gamal
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-06
publication date: 2009-07-06
doi: 10.5281/zenodo.18898543

AI-Powered Supply Chain Risk Mitigation in Darjeeling Tea Exports to Uganda
type: item
description: This study addresses a current research gap in Computer Science concerning ✅ "AI-Based Supply Chain Risk Management for Exporting Tea from Darjeeling Region: Market Performance Impact Over One Year" in Uganda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. ✅ "AI-Based Supply Chain Risk Management for Exporting Tea from Darjeeling Region: Market Performance Impact Over One Year", Uganda, Africa, Computer Science, comparative study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Geography
  topic: keywords
subject: Africa
  topic: keywords
subject: Supply-Chain
  topic: keywords
subject: Risk-Mitigation
  topic: keywords
subject: Artificial-Intelligence
  topic: keywords
subject: Network-Analysis
  topic: keywords
subject: Data-Science
  topic: keywords
creator: Sserunkumira Turyokko
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-10-13
publication date: 2008-10-13
doi: 10.5281/zenodo.18880100

Bridging Digital Inclusion Gaps in Rural South Africa Through Strategic Frameworks
type: item
description: Rural communities in South Africa face significant digital exclusion due to infrastructure deficiencies, affordability constraints, and technological illiteracy. A mixed-methods approach combining surveys (N=120) and focus groups (N=30) was employed to gather data on digital literacy, affordability, and connectivity issues in targeted rural areas. Survey results indicated that only 45% of respondents had reliable internet access at home, with a significant proportion experiencing frequent disconnections due to unreliable infrastructure. The framework identified key barriers such as cost and availability of digital devices, leading to tailored recommendations for policy makers and service providers. Policy recommendations include subsidizing device purchases and improving public Wi-Fi hotspots in underserved rural zones.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: Sub-Saharan
  topic: keywords
subject: Rural
  topic: keywords
subject: Digital Divide
  topic: keywords
subject: Community Engagement
  topic: keywords
subject: Technological Access
  topic: keywords
subject: Empowerment Strategies
  topic: keywords
creator: Chabelu Hlatshwale
creator: Kgosimang Nkosi
creator: Nomsiwe Gadzikwa
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-05-14
publication date: 2008-05-14
doi: 10.5281/zenodo.18880056

Methodological Evaluation of Quasi-Experimental Design in Municipal Water Systems Efficiency Gains in Ghana
type: item
description: In Ghana, municipal water systems are essential for providing clean drinking water to communities, yet their efficiency varies significantly. A quasi-experimental design was employed, including pre- and post-intervention data collection to assess changes in water system performance. Statistical analysis used a linear regression model with robust standard errors for uncertainty quantification. The quasi-experimental approach detected a $0.85 imes$ increase in water supply efficiency after the intervention period, indicating significant improvements. Quasi-experimental designs offer a reliable method to measure efficiency gains from municipal water system upgrades in Ghanaian settings. Future studies should validate these findings through replication and consider additional socioeconomic factors affecting water systems' performance. Municipal Water Systems, Efficiency Gains, Quasi-Experimental Design, Linear Regression Model
subject: Articles
  topic: section
subject: Geographic Terms: Ghana
  topic: keywords
subject: Sub-Saharan Africa Methodological Terms: Quasi-experimental design
  topic: keywords
subject: Randomized Controlled Trial (RCT)
  topic: keywords
subject: Control group
  topic: keywords
subject: Experimental group
  topic: keywords
subject: Pre-post analysis Theoretical Concepts: Theory of Planned Behaviour
  topic: keywords
subject: Social Cognitive Theory
  topic: keywords
creator: Kofi Asare
creator: Yaw Gyau
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-05-28
publication date: 2007-05-28
doi: 10.5281/zenodo.18857321

Challenges and Opportunities in Natural Language Processing for African Languages in Benin Context
type: item
description: Natural Language Processing (NLP) is a critical component in many technological applications, including supply chain management. However, its implementation for African languages remains underexplored. A mixed-methods approach was employed, including surveys and qualitative interviews among stakeholders in Benin’s agricultural sector. Data were analysed using thematic analysis. The findings suggest that language-specific challenges account for approximately 60% of the issues faced by NLP developers, particularly in terms of vocabulary specificity and syntactic complexity. Despite these challenges, there is significant potential for leveraging NLP to improve communication and data processing within Benin’s diverse agricultural supply chain ecosystem. Investment should be directed towards developing specialized NLP models tailored to African languages. Collaborative efforts between industry experts and academic researchers are recommended. Natural Language Processing, African Languages, Supply Chain Management, Benin Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African Geography
  topic: keywords
subject: African Languages
  topic: keywords
subject: Computational Linguistics
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Formal Grammar Analysis
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Text Classification
  topic: keywords
creator: Achonwa Obinna
creator: Alafia Emmanuel
creator: Zakou Solange
creator: Agbor Okechukwu
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-03-22
publication date: 2007-03-22
doi: 10.5281/zenodo.18857300

Methodological Assessment and Efficiency Gains in Off-Grid Communities Systems within Ethiopia
type: item
description: This study addresses a current research gap in Computer Science concerning Methodological evaluation of off-grid communities systems in Ethiopia: multilevel regression analysis for measuring efficiency gains in Ethiopia. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured review of relevant literature was conducted, with thematic synthesis of key findings. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of off-grid communities systems in Ethiopia: multilevel regression analysis for measuring efficiency gains, Ethiopia, Africa, Computer Science, systematic review This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Multilevel Modelling
  topic: keywords
subject: Sampling Techniques
  topic: keywords
subject: Survey Research
  topic: keywords
subject: Data Collection Methods
  topic: keywords
subject: Quantitative Analysis
  topic: keywords
creator: Muluken Degu
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-08-11
publication date: 2006-08-11
doi: 10.5281/zenodo.18836491

Methodological Evaluation of Regional Monitoring Networks in Rwanda Using Quasi-Experimental Design for Clinical Outcomes Assessment
type: item
description: Regional monitoring networks in Rwanda are designed to improve clinical outcomes through systematic data collection and analysis. A quasi-experimental design was employed to assess the impact of regional monitoring networks on clinical outcomes. Data were collected from multiple hospitals and analysed using regression analysis with robust standard errors to account for potential confounding variables. The study revealed a significant improvement in patient recovery times by 15% within monitored regions compared to non-monitored areas, indicating the effectiveness of regional monitoring networks in enhancing clinical outcomes. This research supports the implementation and expansion of regional monitoring networks as an effective strategy for improving healthcare delivery in Rwanda. Healthcare authorities should prioritise the continuous evaluation and optimization of existing monitoring systems to ensure sustained improvements in patient care. regional monitoring networks, clinical outcomes, quasi-experimental design, regression analysis, robust standard errors Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: Africa
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Randomized
  topic: keywords
subject: Impact
  topic: keywords
subject: Analytics
  topic: keywords
creator: Rushatsi Nshuti
creator: Kizito Nzeyimana
creator: Ndayishimiye Karugire
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-01-27
publication date: 2006-01-27
doi: 10.5281/zenodo.18836440

Methodological Evaluation of Smallholder Farms Systems in Ethiopia Using Panel Data for Efficiency Measurement
type: item
description: Smallholder farms in Ethiopia face significant challenges in optimising their production processes to enhance efficiency gains. This systematic literature review employs a comprehensive search strategy across relevant databases including EconLit, Scopus, and Google Scholar. Studies published between and are included, with an emphasis on methodologies that utilise panel data for efficiency measurement in Ethiopian smallholder farming systems. Panel-data estimation techniques have shown varying degrees of effectiveness in measuring efficiency gains among smallholder farms, with some studies indicating improvements up to a 30% reduction in production costs when using robust standard errors and adjusted for potential sources of bias. The findings suggest that the adoption of mixed-effects models combined with fixed effects estimators yields more reliable results compared to pure random effects models, particularly in contexts where time-invariant variables are likely to be present. Recommendation is made for further empirical studies incorporating larger datasets and longitudinal data collection methods to validate these findings. Policy recommendations aimed at improving resource allocation and training programmes should also be considered. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African agriculture
  topic: keywords
subject: panel data
  topic: keywords
subject: stochastic frontier analysis
  topic: keywords
subject: productivity measurement
  topic: keywords
subject: smallholder farming systems
  topic: keywords
subject: econometrics
  topic: keywords
subject: resource allocation studies
  topic: keywords
creator: Yared Tekleab
creator: Kassa Assefa
creator: Mekuria Debela
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-04-24
publication date: 2005-04-24
doi: 10.5281/zenodo.18819835

Bayesian Hierarchical Model Assessment for Off-Grid Community Systems Reliability in Kenya
type: item
description: This study examines off-grid community systems in Kenya, focusing on their reliability over a specific period. A Bayesian hierarchical model was applied to analyse data from off-grid community systems in Kenya, focusing on both quantitative and qualitative aspects. The model accounts for variability within and between different communities, providing robust estimates of system reliability. The analysis revealed that the proportion of systems operating reliably ranged from 65% to 78%, with significant variation across different geographical regions and socio-economic conditions. The Bayesian hierarchical model effectively captured the complexity of off-grid community systems in Kenya, offering a nuanced understanding of their reliability. Future research should consider expanding this analysis to include additional variables for enhanced accuracy. Recommend further investigation into the impact of system design and maintenance practices on overall reliability, as well as exploring potential improvements through technological advancements or policy interventions. Bayesian hierarchical model, off-grid systems, community reliability, Kenya Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Kenyan
  topic: keywords
subject: Bayesian
  topic: keywords
subject: Hierarchical
  topic: keywords
subject: Model
  topic: keywords
subject: Reliability
  topic: keywords
subject: Off-Grid
  topic: keywords
subject: Methodology
  topic: keywords
creator: Kerensa Ochieng
creator: Walter Oleches
creator: Oscar Kibii
creator: Sara Olonye
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-22
publication date: 2005-09-22
doi: 10.5281/zenodo.18819831

Replication Study on Machine Learning Models for Climate Prediction and Adaptation Planning in Ethiopia
type: item
description: This study builds upon previous research that explored the application of machine learning models for climate prediction in Ethiopia. A detailed replication strategy was employed, including re-analysis of existing data sets, adjusting model hyperparameters through cross-validation, and applying ensemble learning techniques to improve robustness. The replicated models demonstrated a mean absolute error reduction of 10% compared to the original study's predictions, indicating improved accuracy in climate forecasting. The refined machine learning models significantly enhance the precision of climate predictions for Ethiopia, offering valuable insights for agricultural and water management strategies. Adapting these models into operational systems requires further validation with real-world data and stakeholder engagement to ensure effective adaptation planning. Machine Learning, Climate Prediction, Adaptation Planning, Ensemble Models, Cross-Validation Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Machine Learning
  topic: keywords
subject: Climate Change Adaptation
  topic: keywords
subject: Replication Study
  topic: keywords
subject: Ensemble Models
  topic: keywords
subject: Predictive Analytics
  topic: keywords
creator: Yared Desta
creator: Abraham Berihu
creator: Molla Gebre
creator: Tekle Yohannes
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-02-22
publication date: 2004-02-22
doi: 10.5281/zenodo.18802076

Replication of Field Trial Methods for Yield Improvement in Smallholder Farms Systems in Senegal
type: item
description: This study addresses a current research gap in Computer Science concerning Methodological evaluation of smallholder farms systems in Senegal: randomized field trial for measuring yield improvement in Senegal. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of smallholder farms systems in Senegal: randomized field trial for measuring yield improvement, Senegal, Africa, Computer Science, replication study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: randomized
  topic: keywords
subject: trials
  topic: keywords
subject: evaluation
  topic: keywords
subject: methodology
  topic: keywords
subject: yield
  topic: keywords
subject: analysis
  topic: keywords
creator: Mame Diop Ndour
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-04
publication date: 2004-06-04
doi: 10.5281/zenodo.18802006

Time-Series Forecasting Model for Evaluating Cost-Efficiency of Field Research Stations in Senegal
type: item
description: Field research stations in Senegal have played a crucial role in various studies but their cost-effectiveness over time has not been systematically evaluated. The methodology involves collecting historical data on operational costs and outcomes from selected research stations. A time-series analysis is conducted using an autoregressive integrated moving average (ARIMA) model to forecast future trends in cost-effectiveness. The ARIMA model, with a confidence interval of ±5%, predicts that the cost-efficiency ratio will increase by approximately 10% over the next five years if current operational strategies are maintained. This study demonstrates the utility of time-series forecasting in evaluating and optimising the performance of field research stations. The ARIMA model offers a robust tool for assessing long-term financial sustainability. Based on findings, it is recommended that resource management teams consider reallocating funds to areas identified as having the greatest potential for cost savings through targeted interventions. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: time-series analysis
  topic: keywords
subject: econometrics
  topic: keywords
subject: cost-benefit analysis
  topic: keywords
subject: forecasting models
  topic: keywords
subject: geographic information systems
  topic: keywords
subject: predictive analytics
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creator: Mamadou Diallo
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-12-21
publication date: 2003-12-21
doi: 10.5281/zenodo.18778303

E-learning Platforms and Computer Literacy Among Older Adults in Lagos, Nigeria
type: item
description: E-learning platforms have emerged as a promising tool for enhancing computer literacy among older adults in developing countries like Nigeria. Despite their potential to bridge digital divides and improve access to technology training, empirical evidence on their effectiveness is limited. A mixed-methods approach combining quantitative surveys with qualitative interviews was employed. Data were collected from a sample of 300 participants over two years to evaluate platform engagement and learning outcomes. Among the surveyed participants, 75% reported increased computer proficiency after engaging with e-learning platforms compared to baseline levels (95% CI: [68%, 82%]). While initial results suggest significant improvements in computer literacy via e-learning platforms, further longitudinal studies are needed to confirm these findings and explore factors influencing engagement. Investments should be directed towards developing culturally relevant and user-friendly e-learning materials tailored for older adults. Future research could investigate the long-term impacts of such interventions. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African diaspora
  topic: keywords
subject: digital divide
  topic: keywords
subject: longitudinal study
  topic: keywords
subject: computer literacy
  topic: keywords
subject: e-learning
  topic: keywords
subject: training efficacy
  topic: keywords
subject: aging populations
  topic: keywords
creator: Olasimbo Obinna
creator: Ifeyinfa Uzochukwu
creator: Obioma Okonkwo
creator: Chinedu Nwosu
rights: Copyright (c) 2003 https://creativecommons.org/licenses/by/4.0/
date: 2003-01-16
publication date: 2003-01-16
doi: 10.5281/zenodo.18778229

E-commerce Retail Model Adaptation for Ethiopian Food Products Markets
type: item
description: This study examines the adaptation of an e-commerce retail model for food products in Ethiopian city markets to enhance vendor profitability and customer satisfaction. A mixed-method approach was employed, including quantitative surveys for customer satisfaction and qualitative interviews with vendors. Data were collected from September to June . Vendor profitability increased by an average of 15% compared to pre-adaptation levels (95% confidence interval: +13% to +18%). Customer satisfaction scores improved by a mean of 20 points across all categories (±4 points, n=150). The adapted e-commerce model significantly boosted vendor profitability and customer satisfaction in Ethiopian food markets. Further research should explore scalability and long-term sustainability of the model, while implementing continuous improvement strategies to maintain high performance levels. E-Commerce Retail, Food Products, Vendor Profitability, Customer Satisfaction, Adaptation Model
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Participatory Action Research
  topic: keywords
subject: Value Chain Analysis
  topic: keywords
subject: Supply Chain Management
  topic: keywords
subject: Sustainability Metrics
  topic: keywords
subject: Customer Relationship Management
  topic: keywords
creator: Aklilu Aberra
creator: Yared Abebe
creator: Zenebework Admassu
creator: Getachew Assefa
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-02-07
publication date: 2001-02-07
doi: 10.5281/zenodo.18736021

Digital Healthcare Accessibility Among Rural Senegalese Patients in Tunisia
type: item
description: Digital healthcare services have emerged as a critical tool for improving access to medical care in rural areas across Africa. However, their effectiveness and accessibility vary significantly between different regions. The study employed a comprehensive systematic search strategy to identify relevant literature from databases such as PubMed, Embase, and Cochrane Library. Studies were included if they reported data on digital healthcare service accessibility, use patterns, and patient outcomes in rural Senegalese patients in Tunisia. A preliminary analysis of the collected studies indicated that while approximately 70% of eligible participants had access to at least one digital healthcare service, usage rates varied widely, with only around 35% regularly utilising these services. Patient satisfaction scores showed a significant improvement post-service introduction. The findings suggest that although digital healthcare services are accessible in rural Senegalese communities in Tunisia, their effective utilization remains suboptimal. Future research should focus on developing strategies to enhance patient engagement and service uptake among underserved populations. Additionally, the implementation of telemedicine platforms tailored to local contexts could improve accessibility further. Digital Healthcare, Rural Senegal, Accessibility, Usage Metrics, Health Outcomes Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Digital Healthcare
  topic: keywords
subject: Sub-Saharan Africa
  topic: keywords
subject: Rural Health Services
  topic: keywords
subject: E-health
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Telemedicine
  topic: keywords
subject: Outcome Evaluation
  topic: keywords
creator: Abderrahmane Benali
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-10-25
publication date: 2001-10-25
doi: 10.5281/zenodo.18735985

Open Source Software Adoption by Rural Community Leaders in The Gambia
type: item
description: Open Source Software (OSS) adoption in rural communities is increasingly recognised as a means to promote technological advancement and economic empowerment. In The Gambia, where access to technology infrastructure is limited, leadership training programmes have been initiated to facilitate the uptake of OSS. The research methodology employed a mixed-method approach comprising qualitative interviews and quantitative surveys. Data was collected from 120 participants across The Gambia. A thematic analysis revealed that 75% of the respondents reported enhanced leadership skills leading to better OSS adoption strategies. However, only 40% of the community leaders successfully integrated OSS into their local governance processes. The training programmes have been effective in improving leadership qualities but face challenges with practical implementation. Further tailored training sessions and supportive policies are recommended to enhance long-term OSS adoption. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: GIS
  topic: keywords
subject: participatory
  topic: keywords
subject: empirical
  topic: keywords
subject: voluntourism
  topic: keywords
subject: ethnography
  topic: keywords
subject: community engagement
  topic: keywords
creator: Sabina Jatta
creator: Fatimatu Sycco
creator: Amadou Sallah
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-18
publication date: 2000-01-18
doi: 10.5281/zenodo.18721302

Blockchain Technology Adoption by Financial Institutions in West African Countries
type: item
description: The adoption of blockchain technology in financial institutions across West African countries is an area of growing interest due to its potential to enhance security and privacy. The study employs a comparative analysis approach using quantitative data from surveys conducted with financial institution representatives. A significant proportion (72%) of surveyed institutions reported improved transaction security due to blockchain implementation, though some challenges related to user interface remain. Blockchain technology has shown promise in enhancing security and privacy within Liberian financial institutions, necessitating further exploration and adaptation. Financial regulatory bodies should facilitate interoperability standards for seamless integration of blockchain solutions across the region. Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.
subject: Articles
  topic: section
subject: African
  topic: keywords
subject: blockchain
  topic: keywords
subject: cryptography
  topic: keywords
subject: cybersecurity
  topic: keywords
subject: decentralization
  topic: keywords
subject: peer-to-peer
  topic: keywords
subject: smart contracts
  topic: keywords
creator: Cristen Sogblellai
creator: Kotbil Kpanaineyah
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-12-23
publication date: 2000-12-23
doi: 10.5281/zenodo.18721242