<?xml version="1.0" encoding="UTF-8"?>
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<title>6th Annual International Conference 2023</title>
<link href="http://hdl.handle.net/123456789/902" rel="alternate"/>
<subtitle/>
<id>http://hdl.handle.net/123456789/902</id>
<updated>2026-04-09T23:45:26Z</updated>
<dc:date>2026-04-09T23:45:26Z</dc:date>
<entry>
<title>Work-life balance and employee retention in public level five hospitals in Kenya.</title>
<link href="http://hdl.handle.net/123456789/971" rel="alternate"/>
<author>
<name>Nkanata, S.</name>
</author>
<id>http://hdl.handle.net/123456789/971</id>
<updated>2023-03-29T15:17:02Z</updated>
<published>2023-03-01T00:00:00Z</published>
<summary type="text">Work-life balance and employee retention in public level five hospitals in Kenya.
Nkanata, S.
Work-life balance practices are human resource practices that ensure alignment of&#13;
work and personal life. Retention of employees is a strategy that an organizations&#13;
use to keep employees from preferring employment elsewhere. This investigated the&#13;
influence of work-life balance on staff retention in public level five hospitals in&#13;
Kenya. Specific objectives of the study were; to establish the influence of employee&#13;
assistance programs and work schedules on staff retention in public level five&#13;
hospitals in Kenya. The study adopted descriptive and correlational research&#13;
designs. The study targeted 472 doctors, 3318 nurses and 449 clinical officers from&#13;
the eleven (11) public level five hospitals in Kenya. Proportionate stratified random&#13;
sampling design was used to select eight (8) public level five hospitals from which a&#13;
total sample size of 40 doctors, 278 nurses, and 37 clinical officers were selected. Data&#13;
was collected using a semi-structured questionnaire. Cronbach alpha was used to&#13;
test reliability of the research instruments. Both descriptive and inferential statistics&#13;
were used to describe study findings based on the objectives. Tables and percentages&#13;
were used for descriptive statistics while Binary Logistic Regression Model&#13;
computed using SPSS Version.23 was used for data analysis. Results showed that&#13;
employee assistance programs significantly influenced retention of health workers’.&#13;
Availability of work schedules did not influence retention. Employee assistance&#13;
programs significantly influenced employee retention. There is need for&#13;
management to invest in improving employee assistance programs to encourage&#13;
employees to remain in the hospitals. Management should also design new&#13;
approaches relating to work schedules so as to attract and retain their talented&#13;
workforce.
</summary>
<dc:date>2023-03-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Influence of Community Forest Association Activities on Dryland Resources Management: Case of Kibwezi Forest in Kenya</title>
<link href="http://hdl.handle.net/123456789/970" rel="alternate"/>
<author>
<name>Kagendo, J.</name>
</author>
<id>http://hdl.handle.net/123456789/970</id>
<updated>2023-03-29T15:11:56Z</updated>
<published>2023-03-01T00:00:00Z</published>
<summary type="text">Influence of Community Forest Association Activities on Dryland Resources Management: Case of Kibwezi Forest in Kenya
Kagendo, J.
Gazetted forests in Kenya are owned and managed by the government through&#13;
Kenya Forest Service. Other stakeholders including communities formally&#13;
participate in forest management through Participatory Forest Management,&#13;
concessions and leasehold. In each management regime, the forest has to be well&#13;
managed and the community continue accessing forest products. The aim of this&#13;
study was to investigate whether Community Forest Association activities lead to&#13;
improved forest cover in a leased forest. The study adopted a descriptive survey&#13;
design where both qualitative data and satellite data was collected. A sample size of&#13;
139 individuals was issued with questionnaires and 5 key informants were&#13;
interviewed. Satellite imagery was used to quantify changes and trends in forest&#13;
cover of Kibwezi forest for ten years. Results showed that infrastructural&#13;
development had a great effect on destruction of forest cover in Kibwezi forest.&#13;
There was significance relationship between community participation and&#13;
improvement of forests since Chi square results were (χ2 =27.631, df=9, 0.001). The&#13;
improvement of the forest was partially contributed to by presence of community&#13;
forest association during inception of project but later David Sheldrick Trust which&#13;
fenced the forest.There should be deliberate action by stakeholders to give&#13;
community forest association incentives to operate optimally.
</summary>
<dc:date>2023-03-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>An Investigation on Declining Water Levels of River Mutonga in Tharaka Nithi County, Kenya.</title>
<link href="http://hdl.handle.net/123456789/969" rel="alternate"/>
<author>
<name>Kagendo, J.</name>
</author>
<id>http://hdl.handle.net/123456789/969</id>
<updated>2023-03-29T15:08:34Z</updated>
<published>2023-03-01T00:00:00Z</published>
<summary type="text">An Investigation on Declining Water Levels of River Mutonga in Tharaka Nithi County, Kenya.
Kagendo, J.
Variations in river water volumes have direct or indirect effects on biodiversity&#13;
because sustainable development is highly dependent on availability of adequate&#13;
water. Global records show declining water levels in most rivers. Most rivers&#13;
flowing through TharakaNithi County have recorded notable decline in water&#13;
volumes and this is a major challenge to achieving sustainable development in the&#13;
County. Knowledge about water volume variations and factors responsible for the&#13;
variations is key to effective water resource management. This study aimed at&#13;
establishing extent of water volume decline in river Mutonga, the impact of human&#13;
water abstraction and effects of climate change on the declining water volumes over&#13;
the last 30 years. The study adopted a descriptive survey research design. The study&#13;
corrected primary and secondary data from 270 households’ heads, three regional&#13;
NEMA officials and three regional water resources authority officials. Data was&#13;
analyzed using descriptive and inferential statistics. A long-term variation in the&#13;
recorded rainfall in the region in the period between 1990 and 2020 and was&#13;
associated with the decline in river volume. There was a significant relationship&#13;
between increased temperatures and river discharge amount (0.639816&gt;0.05). The R&#13;
square value of 0.8597, shows a significant relationship between the number of&#13;
intakes constructed to abstract water and the river discharge. It is advisable for&#13;
County Governments to adapt suitable water management strategies during&#13;
implementation of development projects that are likely to affect water resources.
</summary>
<dc:date>2023-03-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Analytic Solution of a Nonlinear Black-Scholes Equation via Long and Short Gamma Positions.</title>
<link href="http://hdl.handle.net/123456789/968" rel="alternate"/>
<author>
<name>Esekon, J. E.</name>
</author>
<id>http://hdl.handle.net/123456789/968</id>
<updated>2023-03-29T14:57:19Z</updated>
<published>2023-03-01T00:00:00Z</published>
<summary type="text">Analytic Solution of a Nonlinear Black-Scholes Equation via Long and Short Gamma Positions.
Esekon, J. E.
This study presents a nonlinear Black-Scholes equation whose nonlinearity is&#13;
due to feedback effects. The market involved is illiquid as a result of&#13;
transaction costs. An analytic solution to the equation via long and short&#13;
gamma positions is currently unknown. After transforming the equation into a&#13;
parabolic nonlinear porous medium-type equation, find that the assumption of&#13;
a traveling wave profile to the later equation reduces it to Ordinary Differential&#13;
Equations (ODEs). This together with the use of long and short gamma&#13;
positions facilitate a twice continuously differentiable solution. Both positive&#13;
and negative gamma exposure can lead to an out-of-the-money option.
</summary>
<dc:date>2023-03-01T00:00:00Z</dc:date>
</entry>
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