Purpose: The study sought to establish the effects of blockchain technology on the performance of financial markets in Kenya. Methodology: The study adopted an explanatory research design. The study target population was drawn from the commercial banks located in Nairobi County, Kenya. The study targeted 84 bank managers in the IT and finance department of the 42 commercial banks in Kenya. Thus the target population of the study was 84 financial market managers selected. The study population was grouped into simple identifiable group called strata and adopted a stratified simple random sampling technique with inclusion of commercial banks. A sample size of a sample size of 50 respondents was arrived at. Data was collected using a structured questionnaire. The data collected was cleaned and coded, quantified and analyzed quantitatively. Quantitative data were analyzed using SPSS 24 where descriptive and inferential statistics were used to capture the data in order to understand the pattern and nature of relationships. Results were presented using tables. Findings: The study findings showed that the correlation analysis showed that the adoption of blockchain technology had a positive and significant correlation to government policy R = 0.240. Adoption of blockchain technology had a positive and significant correlation to internet infrastructure by R = 0.293. Adoption of blockchain technology had a positive and significant correlation to transaction cost at R = 0.583. Lastly, adoption of blockchain technology had a positive and significant correlation to risk analysis at R = 0.507. Unique contribution to theory, practice and policy: The study recommended that there should be policy review on issues relating to risk analysis so as to curb illegal money transfers and enhance performance of financial markets in Kenya. The study recommends for a thorough scrutiny by the government and ensures such issues are keenly analyzed to help bring peace and stability in the world. The aspect of having good internet connectivity is beneficial to the nation in that access to proper information will be available and it enables many users to have wide access to services as well as creation of employment. There is need to conduct a study on stability of blockchain technologies use and their impact to the economic growth. The study incorporated Technology Acceptance Model and Innovation Diffusion Theory to link the study topic to the concepts
The objective of this study was to analyze factors affecting uptake of agency banking services among customers in rural Kenya. Specifically, the study sought; to examine the effect of fraud on uptake of agency banking services among customers in Kenya; to determine the extent to which skills of agents affect uptake of agency banking services among customers in Kenya; To establish the effect of location on uptake of agency banking services among customers in Kenya and to find out how confidentiality affect agency banking services uptake among rural customers in Kenya. A multivariate regression model was applied to determine the relative importance of each of the four variables. The findings indicated that bank agent skills, location and confidentiality were found to be statistically significant in explaining uptake of agency banking services. Banks should create awareness to the public that the bank agent's premises adheres to standard security measures and should also hire security services from security firms to transport cash to and from the agents where necessary. Banks should also train the agency banking agents on how to detect fake money and fraud. The study revealed that agents' skills affected uptake of agency banking services by rural community in Narok County. The study recommends banks to offer training to agents before they start providing specific services on behalf of the banks to improve their customer handling skills and increase the uptake of the agency banking services.
Purpose: To examine the effect of control functions on the financial performance of Saccos in Meru County.Methodology: The study adopted a cross-sectional mixed design method. The study targeted a sample size of 96 respondents arrived by multiplying 4 respondents in the 24 Saccos as a basis of analysis who were operation managers, senior risk managers, internal auditors and accountants in the 24 Saccos selected Saccos in Meru County. Data was collected through use of closed-ended questionnaires and the output presented descriptively by use of mean and standard deviation. Inferential statistics such as correlation coefficient β, coefficients of determination R and P-values was used from a multiple regression equation to measure the direction, strength and significance of the relationship between control activities and financial performance of Saccos. ANOVA was utilized to verify the goodness of fit of the model.Results: The study indicated that there was significant relationship between control functions and financial performance of Saccos in Meru County.Unique contribution to theory, policy and practice: The study contributed uniquely that there was a positive effect of control functions on the financial performance of Sacco banks in Meru County. The control functions should be readily available and continually updated by Sacco managers as they are the heart of the Saccos. If the functions are not working then it means the operations will eventually be paralyzed. This can be achieved by ensuring the guiding policies and guidelines are always available at the disposal of the user. Reviews should also be done regularly by Sacco regulators such as SASRA so as to ensure they are not outdated and to match the changing needs of the market and functional requirements. It is also recommended that physical control should always be done by operations heads in Saccos to avoid laxity from the operations. The approach of contingency theory to the study explained how the design and function of organizations are affected by conditional factors such as technology, organization customs, and the external environments. Different organizations have different organizational structure and their effectiveness is determined by a blend of the right type of organizational structure, organization size, environmental volatility, and technology. When the functions are well controlled by Sacco boards, updated performance of the entire system is enhanced.
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