Kenyatta University Repository
Kenyatta University Institutional Repository is a digital archive that collects, preserves and disseminates scholarly outputs of the Institution
IMPORTANT LINKS
Communities in DSpace
Select a community to browse its collections.
Recent Submissions
Digital Transformation Strategies and Performance of Commercial Banks in Nairobi City County, Kenya
(Kenyatta University, 2025-10) Mwenda, Dickson
Commercial banks in Nairobi County, Kenya are facing significant performance challenges due to rapid technological changes, heightened competition, and shifting customer expectations. These factors have impacted key performance metrics such as operational efficiency, customer retention, and employee productivity, pressuring banks to adopt effective strategies that can drive sustainable growth. Digital transformation has emerged as a crucial approach to address these challenges, enabling banks to improve efficiency, boost customer experience, and maintain competitive positioning. This research aimed to evaluate digital transformation strategies impact on the performance of commercial banks in Nairobi City County, Kenya. Precisely, it examined the effects of digital banking platforms, data analytics, fintech partnerships, and cloud computing adoption on the performance of the commercial banks in Nairobi City County, Kenya. The research was anchored in Technology Acceptance Model, Diffusion of Innovation Theory, Resource Based View, and Agency Theory. A descriptive correlational research design was used, targeting all 39 commercial banks in Nairobi City County, Kenya, with the head of IT and heads of strategy or a similar role in each bank as the respondent, totaling to 78 participants. Data was collected via structured questionnaires administered through Google Forms. A pilot test was performed to verify the validity and reliability of the research tool, and internal consistency was evaluated using Cronbach's alpha. Descriptive statistics (mean and standard deviation) and inferential statistics were used in the data analysis process. Multiple linear regression was used to look at how each independent variable impact the dependent variable. The regression analysis discovered that digital transformation strategies explained 80.6% of organizational performance variations R² = 0.806, with the model being statistically significant F = 69.744, p < 0.05. All four predictors digital banking platforms β = 0.196, p < 0.05, data analytics β = 0.410, p < 0.05, fintech partnerships β = 0.325, p < 0.05, and cloud computing adoption β = 0.441, p < 0.05 had significant positive effects. The research discovered that digital transformation is a critical driver of operational efficiency, customer satisfaction, and strategic growth. It recommends that banks deepen investment in secure, data-driven, and innovation-led digital infrastructures to sustain long-term performance and competitiveness in a dynamic financial landscape.
Digital Money Platform and Financial Inclusion among Youth Groups in Kitui County, Kenya
(Kenyatta University, 2025-12) Mwendwa, Antony
Financial inclusion across the economic sphere is fundamental as it guarantees that both people and businesses can access inexpensive and vital financial services, which are crucial for sustained expansion and prosperity. Although 80% of Kenyan adults possess mobile phones, hardly 30% have access to mobile banking, resulting in the exclusion of many young people from formal financial services. The research general objective was to determine the effect of digital money platforms on financial inclusion among youth groups in Kitui County, Kenya. The research specific objectives were; to ascertain the effect of digital payments on financial inclusion amongst youth groups in Kitui County, Kenya, to examine how digital credit affects financial inclusion amongst youth groups in Kitui County, Kenya and to determine how digital savings affects financial inclusion among youth groups in Kitui County, Kenya. To achieve this, the research was underpinned on Financial Intermediation Theory, Innovation Diffusion theory, Transactional cost theory and the Technological Acceptance Model. The study used casual research design where quantitative data was obtained. The unit of observation was 6 youth’s groups while the unit of analysis was the officials from these youth groups within the region. This study employed purposive sampling to select youth groups, ensuring that groups relevant to the research objectives are included. Hence a sample size of 92 youth. Data was gathered utilizing structured questionnaires, which was tested for validity and reliability. Multiple regression was employed to test the connection between the variables and the study hypothesis was tested using SPSS version 21. Correlation analysis and diagnostic tests were also be performed. The research findings were displayed utilizing tables, graphs and charts. The study found that digital payments, digital credit and digital savings affected financial inclusion amongst the youth groups in Kitui County, Kenya. There wasn’t multicollinearity in the predictor variables since no variable had a VIF>10. Data was normally distributed. The study concluded that there existed a substantial connection between digital payments and financial inclusion, digital credit and financial inclusion, digital savings and financial inclusion among the youth groups in Kitui County, Kenya. The p-value in all variables was below the threshold of significance level, hence rejecting all hypotheses. The study recommends that firms that own mobile money platforms should ensure that no business is discriminated in money transfer regardless of their size. Mobile money transfer should be convenient. Firms with mobile banking apps should offer more credit opportunities for youth with businesses and enable them to access top up loans through mobile banking which are flexible enough and with lower interest rates and operational cost to support their business financial needs. Youth groups should embrace mobile money platforms savings since they are faster and convenient. This will save them a lot of cost and time.
Depiction of cultural aspects of the Swahili of Lamu Island using a combination of natural plant pigments as painting media
(Kenyatta University, 2025-11) Ogutu, Wanyama
The study showcases the unique cultural aspects of the Swahili of Lamu Island, such as marriage, music, architecture, textiles, and body decoration, through the use of their natural plant pigments as a painting media. It addresses the challenges of decline of Swahili culture and natural plant pigments not significantly exploited for in artistic expression. The research identified the cultural aspects and the natural plant pigments associated with the Swahili traditions, such as cooking and body adornment. Compositional design elements were derived from these cultural aspects of the Swahili of Lamu Island through sketching. Potential natural plant pigments for artistic expression were then established by conducting experiments with binders on selected surfaces. Later, the researcher illustrated the cultural aspects of the Swahili of Lamu Island using natural plant pigments as a painting media. The study employed an experimental research methodology for the purpose of natural plant pigments. It also engaged ethnographic approaches to examine the Swahili culture of Lamu Island. Fieldwork was carried out to document cultural aspects and intentionally sample natural plants from the Swahili of Lamu Island. The pigments were extracted using a hybrid method that combined both traditional and modern laboratory techniques. The pigment extracts were tested with binders on selected surfaces to develop a color palette for creating the final depictions. The study's findings confirm that natural plant pigments act as a medium for artistically preserving Swahili culture. The study recommends the use of natural plant pigments in artistic practice. These efforts will significantly enhance cultural ownership in Africa and protect indigenous knowledge.
Lexical errors in the written English compositions of first year undergraduate students in kabale university, Uganda
(Kenyatta University, 2025-11) Awino, Mary
From a sample of Kabale University students, it was confirmed that university students in Kabale municipality lack the ability to write English effectively. They make a number of lexical errors in their compositions as a result meaning and communication are inhibited. In light of this, the study sought to investigate ‘Lexical Errors in the Written English Compositions of First Year Undergraduate Students in Kabale University, Uganda’ with an aim of identifying, categorising, analysing the frequency, and explaining the causes of these lexical errors. In order to achieve this aim, the study utilised the Error Analysis approach by S.P. Corder which focuses on choosing the language corpus, identifying error in the corpus, classifying error, explaining error and evaluating error. A total of 20 scripts were randomly sampled for data analysis. Lexical deviations were identified in the students’ compositions and then classified following the form- and content-oriented criterion. Every lexical error that fell under the form- and content-oriented criterion was written down on an individual results sheet for students’ lexical errors until a frequency for each was ascertained. Frequency ratings were illustrated by means of tables showing frequency counts or percentages. The more lexical errors found in a student’s work, the worse his or her writing. The errors that impeded the meaning most were branded as very serious. A list of the errors identified in the students’ compositions was organised in a hierarchy of – most serious, serious and least serious – depending on how much they impeded meaning. Research has shown that the severity of an error is usually determined by the reader's attitude and cannot be determined by a universal standard. Therefore, error gravity was determined by the researcher since she was the one analysing the 20 compositions. The more lexical errors found in a student’s work, the worse his or her writing. The researcher hoped that the findings of the study would offer teachers objective criteria for evaluating students' written compositions as well as hints about where to focus their teaching, namely on the most important and most common lexical error types, which cause the most problems due to their seriousness and communication consequences. Also, second language writing courses might be developed to deal with or explore more about lexical errors.
Digital Credit Access and Growth of Micro, Small and Medium Enterprises in Uasin Gishu County, Kenya
(Kenyatta University, 2025-11) Bwire, David Joseph
A significant challenge faced by Kenya's 7.4 million micro, small, and medium enterprises (MSMEs) is the inadequate access to financial services, especially fintech platforms. These platforms are essential as they facilitate entry into various marketplaces, provide secure payment methods, and offer affordable financing options. The primary problem addressed is the slow growth and high failure rate of MSMEs due to financial constraints, which digital credit is positioned to alleviate. The study sought to examine the effect of digital credit access on the growth of MSMEs operating within the environs of Uasin Gishu County in Kenya. The specific objectives included assessing how the accessibility of digital credit, its cost, the availability of information, and regulatory frameworks influence the growth of small and medium-sized enterprises. These four variables were justified based on theoretical and empirical gaps in the literature regarding the determinants of digital financial services uptake and their impact on firm growth. The accessibility of digital credit was specifically assessed using metrics such as simplified application procedures, rapid disbursement, flexible loan limits, and overall ease of navigation. The study was guided by theories such as Task-Technology Fit, Micro Lending Rates, the Financial Growth Life Cycle, and the Behavioural Theory of the Firm. An explanatory research design was employed, targeting a population of 700 small and medium-sized enterprises in Uasin Gishu County, with a sample of 121 top-level managers and owners selected through simple and stratified random sampling. Primary data were collected via semi-structured questionnaires. The reliability and validity findings served to refine the research instrument prior to its acquisition. Statistical analysis, encompassing descriptive and inferential methods, yielded frequency tables and measures of central tendency. The findings revealed that the four predictor variables of digital credit had a positive and significant effect on the expansion of MSMEs in Uasin Gishu County, Kenya. The results also revealed a significant negative correlation between the costs of digital credit and the growth of MSMEs in Uasin Gishu County, Kenya. The study concluded that the growth of MSMEs in Uasin Gishu County, Kenya is significantly dependent on the availability of information, ease of access of digital credit, and digital credit regulation. The study recommends lowering interest rates to encourage the uptake of digital credit, proper regulation by governments on lending practices by digital lenders to protect MSMEs, and policy frameworks that encourage easy sharing of information on digital lending among MSMEs.