Kenyatta University Repository
Kenyatta University Institutional Repository is a digital archive that collects, preserves and disseminates scholarly outputs of the Institution
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Entrepreneurial Talent Engagement Practices and Performance of Small and Medium Enterprises in Nairobi City County, Kenya
(The Strategic Journal of Business & Change Management, 2024-11-08) Muteti, Kevin Mwendwa; Mwasiaji, Evans
In the quest to remain afloat in the cut-throat competition for reasonable market share, enterprise owners
are faced with a difficult task of formulating an internal combination of resources that will give them a
competitive advantage. The purpose of this study was to determine how entrepreneurial talent engagement
practices affected the performance of small and medium-sized businesses in Nairobi City County, Kenya. The
researcher's particular goals in this study were to determine how talent development, employee recruitment,
talent management, and compensation affect the performance of small and medium-sized firms in Nairobi
City County, Kenya. The researcher developed meaningful findings that will provide resourceful knowledge to
various stakeholders in the entrepreneurial space such as small and medium size owners, business financiers,
governmental and non-governmental players in trade, and skilled labour providers will gain insight into the
best practices in employer-entrepreneurial talent engagement and relationship. The study adopted Inclusive
and Exclusive theories of talent management, Prospective theory, Reinforcement theory and the balanced
score card model to support the variables of the study. 353 SMEs were selected as a sample size from the
3000 SMEs in Nairobi City County, Kenya, that were registered and licensed, using the Yaro Yamane 1967
formula. In this study, the dependent and independent variables were explained in connection to one another
using a correlational research methodology. Because this approach answers the research questions posed in
this study, it was determined to be appropriate for this investigation. Questionnaires were employed as the
data collecting tool, and a sample was chosen using the stratified random sampling technique. The
researcher used the content analysis approach to process the qualitative data, while the Statistical Package
for Social Science was used to analyze the quantitative data. Inferential and descriptive statistics were then
used to determine the study's conclusions.
Customer Responsiveness Strategy and the Performance of Kenya Revenue Authority in Mombasa County, Kenya
(International Journal of Business Management, Entrepreneurship and Innovation, 2024) Mwangi, Peter Gitau; Rugami, Maina
The customer is the primary growth determinant of an organization’s direction toward
desirable performance. Proactive organizations that recognize the reality of customer focus
contributions to business operations have significantly portrayed positive performance. This
research aims to investigate how customer responsiveness influences the performance of an
organization, with a specific focus on the Kenya Revenue Authority. To in aid establishing the
foundational base of the study, theories such as the Resource Based View, Systems theory, Gap
analysis Model and the Upper Echelon Theory were taken into account. The study employed
the descriptive research design to comprehensively understand the current conditions and
circumstances. The study's target population considered 445 KRA technical staff in Mombasa,
including managers, supervisors, officers, and support staff. The study employed stratified
sampling where 134 respondents were selected, who either had recently joined the company or
altered their job roles according to duration of employment. To test the reliability of the study,
the researcher employed Cronbach’s alpha coefficient which had a threshold of 0.7. The
threshold of a coefficient should be between 0 to 1 to maintain an internal consistency
indicating reliability. To accurately determine the validity of the data for factor analysis, the
Kaiser-Meyer-Olkin (KMO) Test and Bartlett’s Test of Sphericity were conducted. The KMO
test yielded a measure of sampling adequacy of 0.743, which indicates that the sample size was
adequate for factor analysis. Data collection for the study was through the use of a close-ended
questionnaire in the statement form. The data was analyzed through measures of central
tendency such as mean, median, and mode. The analysis also included measures of dispersion
such as variation, standard deviation, correlation analysis and regression analysis. It was
observed that technology had the most substantial impact on KRA's performance. Indicating a
strong positive relationship between technological implementation and performance outcomes.
Service level agreements were found to be a significant predictor of performance suggesting
that clear and well-structured SLAs contribute positively to the quality-of-service delivery,
ensuring that customer expectations are met effectively. Top management support significance
highlighted the importance of leadership and resource allocation in driving organizational
success. Conversely, staff training indicated that while training is important, its direct influence
on performance may be more nuanced or dependent on other mediating factors. Overall, the
study found that customer responsiveness strategies significantly influence the performance of
KRA in Mombasa County
Managerial Capabilities and Organizational Performance: A Case Study of Kenya Railways Corporation
(Asian Journal of Economics, Finance and Management, 2025-10-15) Some, Raymond K.; Anyieni, Abel
The Kenya Railways Corporation has faced significant performance issues due to managerial
shortcomings, leading to restructuring and reassignment of long-serving managers. This study
explores how managerial capabilities affect the performance of Kenya Railways Corporation. It aims
to assess the roles of networking, opportunity sensing, opportunity seizing, and innovation capability
in enhancing performance. The research is grounded in Resource-Based View, Agency, and
Dynamic Capability theories. A descriptive and explanatory design was used, focusing on 192
employees from finance, procurement, operations, and legal departments. The census sampling
technique ensured that all 192 employees were included. Data was collected via questionnaires,
which were tested for validity and reliability, then analyzed using SPSS version 2.1 with both
descriptive and inferential statistics. Results showed that strong networking, effective opportunity
sensing and seizing, and robust innovation capabilities are crucial for improving performance, profitability, and resilience. Despite some differing opinions on their effectiveness, enhancing these capabilities can help Kenya Railways Corporation better respond to market changes and improve
overall performance.
Government Expenditure on Manufacturing, Infrastructure, Agriculture Components, and the Level of Economic Growth In Kenya 1985-2021
(Iosr Journal Of Economics And Finance, 2024) Matete, Livingstone; Maingi, N James
There is often contention and discussion regarding the optimal way to allocate public funds to different
expenditure components and how they promote economic growth. Government spending has several
importance; it raises aggregate demand, and increases employment levels. This eventually spurs a country's
economic growth. Public expenditure also helps provide public goods due to market failures and economic
exploitation. Public goods such as infrastructure (roads, bridges, airports), education, healthcare, and security
are essential for economic growth. Public expenditure also improves the macroeconomy supply side, enhancing
economic growth. In addition, the government can offer subsidies to sectors that might require financial
assistance for their operations or expansion, which stimulates investment, promotes innovation, increases
capital expenditure, and then job creation, which leads to economic growth. It also helps to redistribute income
and promote social welfare. The study's main objective was to establish the effect of various public expenditure
components on Kenya's economic growth. The specific objectives were to scrutinize the effect of the
manufacturing component of government spending on Kenyan economic growth, assess the effect of the
infrastructure component of government spending on Kenyan economic growth, and scrutinize the effect of the
agricultural component of government spending on Kenyan economic growth. The study adopted a
nonexperimental longitudinal research design. Secondary time series data between 1985 and 2021 from
Economic Surveys, Statistical Abstracts, Economic reports, and public expenditure reports of the government of
Kenya was sed. The study conducted the stationary test, cointegration, and causality test on the data and
employed the Vector Error Correction Model in data analysis. The results showed that public expenditure's
manufacturing and agricultural components had a positive impact on Kenyan economic growth, while
infrastructure had a negative impact in the long run. Manufacturing drives industrialization, which leads to
economies of scale, technological advancements, and more efficient production methods. This conforms to
endogenous growth theory. Agricultural investment helps sustain economic growth by supporting rural
development, reducing poverty, and improving food security. The structural transformation theory suggests that
as agricultural productivity improves, resources (e.g., labor and capital) are freed up to be employed in other,
more productive sectors. The results of infrastructure negatively impacting economic growth align with fiscal
sustainability theory, which states that infrastructure spending may eventually become unsustainable if it leads
to persistent fiscal deficits. Governments might need to increase taxes or cut spending in other productive areas
(e.g., social services and education), which could dampen economic growth in the long term. Overall, the
outcome showed that government spending and potential Kenyan economic expansion are correlated through a
sustained relationship. This is evidenced by the R squared, which is at 0.8975. This implies that public
expenditure explains 89.75% of the variations in GDP. The study recommends that the government choose the
critical area of infrastructure component to invest in. In the long run, the findings showed that infrastructure
spending negatively impacts economic growth, which could suggest inefficiencies or corruption in the allocation
or execution of infrastructure projects. However, poor infrastructure planning, corruption, cost overruns, or
investments in non-productive or underutilized projects could explain the negative long-term impact. The
Kenyan government should invest more in the manufacturing sector in areas like agro-processing, the textile
industry, pharmaceuticals, healthcare products, automotive assembly, and parts manufacturing, which helps to
reduce imports that tend to be high in Kenya. With the agricultural component having a positive effect on
Kenyan economic expansion, the state could invest in agriculture sector's areas like Irrigation and Water
Management, Sustainable Agriculture, Climate Resilience crops, Agricultural Research and Extension Services,
High-Value Crops, agro-processing, and Value Addition
Mathematical Modelling Of The Impact Of Misinformation On TheSpread Of Covid-19
(IOSR-JM, 2024-05) Thiong’o, John; Awuor, Kennedy
In order to understand how misinformation affects the spread of COVID-19, this research project is developing a mathematical model. Every continent has been affected by the respiratory disease COVID-19, which is brought on by the SARS-CoV-2 virus. The virus swiftly spread because of the unprecedented speed at which information, particularly false information, has spread in this century. A mathematical model will be put forth in this study to examine the effect of incorrect information on COVID-19 dissemination. The reproduction (RO) which is the average number of new infections caused by infected person, will be obtained inorder to assess the illiness’s contagiousness. In addition, the model’s equilibrium point stability conditions will be established, giving new information about how the disease will behave over the long term. In order to solve the model, the Runge-Kutta method will be used. This will enable the investigation of the effects of changing parameters as well as the simulation of various scenarios. Understanding how misinformation affects the spread of COVID-19 will help researchers develop strategies that will effectively combat misinformation and limit the disease’s spread, thereby reducing the overall impact of the disease.