Mobile Banking in Agricultural Enhancement: An Evaluation Among Sub-Saharan African Farmers in Kenya

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Hauptverfasser: Mativo, Wafula, Kinyanjui, Kamau, Ochieng, Chelishon, Gathitu, Mwangi
Format: Recurso digital
Sprache:Englisch
Veröffentlicht: Zenodo 2004
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author Mativo, Wafula
Kinyanjui, Kamau
Ochieng, Chelishon
Gathitu, Mwangi
author_facet Mativo, Wafula
Kinyanjui, Kamau
Ochieng, Chelishon
Gathitu, Mwangi
contents <p>This study addresses a current research gap in Computer Science concerning Evaluation of Mobile Banking Services in Increasing Agricultural Productivity Among Sub-Saharan African Farmers in Kenya. 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. Evaluation of Mobile Banking Services in Increasing Agricultural Productivity Among Sub-Saharan African Farmers, Kenya, Africa, Computer Science, data descriptor 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.</p>
format Recurso digital
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language eng
publishDate 2004
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spellingShingle Mobile Banking in Agricultural Enhancement: An Evaluation Among Sub-Saharan African Farmers in Kenya
Mativo, Wafula
Kinyanjui, Kamau
Ochieng, Chelishon
Gathitu, Mwangi
Sub-Saharan
Agricultural
Evaluation
Mobile
Banking
Microlending
InformationSystems
<p>This study addresses a current research gap in Computer Science concerning Evaluation of Mobile Banking Services in Increasing Agricultural Productivity Among Sub-Saharan African Farmers in Kenya. 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. Evaluation of Mobile Banking Services in Increasing Agricultural Productivity Among Sub-Saharan African Farmers, Kenya, Africa, Computer Science, data descriptor 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.</p>
title Mobile Banking in Agricultural Enhancement: An Evaluation Among Sub-Saharan African Farmers in Kenya
topic Sub-Saharan
Agricultural
Evaluation
Mobile
Banking
Microlending
InformationSystems
url https://doi.org/10.5281/zenodo.18793117