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<title>SPAS Publications 2025/2026</title>
<link>http://hdl.handle.net/123456789/1190</link>
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<dc:date>2026-04-09T23:49:01Z</dc:date>
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<item rdf:about="http://hdl.handle.net/123456789/1271">
<title>Knowledge Generation and Strategy Implementation in Public Sector Organizations in Kenya: A Case of the Kenya Bureau of Standards.</title>
<link>http://hdl.handle.net/123456789/1271</link>
<description>Knowledge Generation and Strategy Implementation in Public Sector Organizations in Kenya: A Case of the Kenya Bureau of Standards.
Kang’iri, N. J.,; Muchangi, D.,; Odunga, P.
This study examined the influence of knowledge generation on strategy implementation in public sector&#13;
organizations in Kenya, with a focus on the Kenya Bureau of Standards. Government institutions generate vast&#13;
amounts of knowledge; however, they lack structured frameworks for knowledge generation leading to&#13;
inefficiencies in strategy implementation. The study was guided by Resource-based view theory. The study&#13;
adopted mixed-methods research design, incorporating descriptive, case study, and correlational approaches&#13;
to allow for both broad and in-depth exploration of the study variables. The research was conducted at KEBS&#13;
offices countrywide, with a target population of 1,080 employees. A pilot study was done at Nakuru with 36&#13;
participants, while the final sample size was 292 employees. Stratified random sampling was used to ensure a&#13;
diverse representation of employees across various departments. Primary data was collected using structured&#13;
questionnaires and in-depth interviews, while secondary data was obtained from policy documents,&#13;
institutional reports, and relevant literature. Quantitative data analysis involved descriptive and inferential&#13;
statistics using SPSS. Descriptive statistics, including measures of central tendency, frequency distributions,&#13;
and percentages, were used to summarize data. Inferential analysis, including correlation and multiple&#13;
regressions were conducted to assess the relationships between knowledge management practices and strategy&#13;
implementation. Qualitative data was analyzed thematically to provide deeper insights into the impact of&#13;
knowledge management on strategic processes. Overall, the study showed that effective knowledge generation&#13;
positively influences strategy implementation in the public sector. The results revealed that knowledge&#13;
generation is a moderate, significant and positive influencer of strategy implementation. The study&#13;
recommended that the organization’s management review its knowledge generation policy to update and align&#13;
it to the strategic goals of the organization.
</description>
<dc:date>2026-02-06T00:00:00Z</dc:date>
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<title>Modeling Social Factor and Faulty Health System on The Dynamic of Childhood Diarrhea in Majengo Nyeri County, Kenya</title>
<link>http://hdl.handle.net/123456789/1191</link>
<description>Modeling Social Factor and Faulty Health System on The Dynamic of Childhood Diarrhea in Majengo Nyeri County, Kenya
Muiri, C. W., Atieno, R., &amp; Chamuchi, M.
Mathematical modeling of infectious diseases offers insights into the core processes of disease propagation and&#13;
transmission. The main way that diarrhea, an illness symptom caused by parasite, viral, or bacterial pathogens, spreads&#13;
is through fecal matter-contaminated water. The main objective is to model under five childhood diarrhea to show how&#13;
stress and faulty health system usually affect the propagation of this diasese. Stress, whether experienced in childhood or&#13;
adulthood, can significantly influence the development of bowel disease. Wellness facility-based surveillance studies may&#13;
&#13;
understate the disease burden when it is impossible to count the percentage of cases that do not seek care, as in resource-&#13;
poor environments where access to care is limited or in communities where frequently visited healthcare providers are not&#13;
&#13;
included in the surveillance system. This study developed a mathematical model of social factor and faulty health system&#13;
on the dynamic of childhood diarrhea in Kenya. The model was developed from a system described by first-order equationsnonlinear ordinary differential equations in which the disease dies out and the disease-free equilibrium was attained when&#13;
the basic reproduction number R0 &lt; 1, The basic reproduction number was shown to be R0 = 0.008278 that proved with&#13;
proper care on under five children during diarrhea outbreak the disease can be contained. Whereas the disease could&#13;
persists and the endemic equilibrium is reached when R0 &gt; 1. MATLAB software is utilised to do numerical simulations&#13;
studies using the model parameters was calculated to show how social factor (stress) and faulty health system propagate&#13;
childhood diarrhea as more children suffer from stress during diarrhea outbreak they tend to have more severe outcome as&#13;
compared when free of stress. Poor health facilities have also been shown to contribute to the development of diarrhea as&#13;
most dont offer good services to their patient. The results of the study will provide valuable information to stakeholders,&#13;
informed laboratory technicians and field experts by demonstrating the effect of stress and faulty health system that will&#13;
aid in development of new intervention strategies.
</description>
<dc:date>2025-08-30T00:00:00Z</dc:date>
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