Effect of digital financial services uptake on socio-economic status of households in Kibera- accounting, Banking and finance research project
| Institution | Kimathi Institute of Technology |
| Course | Business , hrm |
| Year | 3rd Year |
| Semester | Unknown |
| Posted By | MAKORI KERECHA |
| File Type | docx |
| Pages | |
| File Size | 3.02 MB |
| Views | 1212 |
| Downloads | 0 |
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Description
The current economic conditions characterized by a high cost of living, high interest rates on loans and unemployment, digital lending products and services have increasingly become an option for many. Borrowing appetite has often led to bad debts, shifting between lending institutions to evade the responsibility to repay loans and resulting to debt accumulation. This study sought to find out the influence of digital financial services on the socioeconomic status of Kibera households. Specifically, the research sought to find out: the effect of digital credit services on socioeconomic status of households; the effect of digital savings services on socioeconomic status of households; and the moderating effect of household characteristics on the relationship between digital financial services and socioeconomic status of households . Primary data collection through administering structured questionnaires to the target population of households in Kibera. The questionnaires were issued randomly but purposively to households that used digital credit and digital savings. Descriptive statistics entailed mean and standard deviation were used for analysis. Inferential statistics, particularly regression analysis was conducted. OLS regression model was used to establish the relationship between the independent variables and the dependent variable. Notably, digital credit, digital savings and household characteristics had a positive relationship with socioeconomic status. Digital savings had a positive effect while digital credit reported a negative effect on socioeconomic status. Only one element of household characteristics namely, household size had a moderating effect on the relationship between digital financial services and socioeconomic status. The findings of this study are important to policymakers, regulators and digital financial services providers. The findings will be significant to future researchers who might need to refer or build on it through further research. The study recommended that there was need for policy makers to look at how the negative effects of digital credit on socioeconomic status can be reversed and maximize on the positive impact of digital savings on socioeconomic status of households.
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FACTORS INFLUENCING LOAN PORTFOLIO PERFORMANCE OF COMMERCIAL BANKS IN KENYA-BUSINESS RESEARCH PROJECT
The banking sector is a key source of funding for most businesses. Improved loans portfolio management leads to high performance in functions and activities of an organization. It has an effect on total economy of the country and activities of all organizations. Commercial banks use various avenues to generate their income. Loans disbursed to customer are among many other avenues that are used to generate revenue. However, not all loans disbursed are serviced by debtors. Defaulted loans are on the increase in most Financial Institutions and this causes the banks not to meet their obligation of wealthy maximization. The study therefore sought to investigate factors influencing Loans Portfolio Performance in Commercial Banks of Kenya. Specific objectives were; to establish influence of Credit Management, to determine the influence of Unsecured Loans, to evaluate the effect of Repayment Characteristics and finally to analyze the influence of Technological advancement on loans Portfolio Performance of Commercial Banks in Kenya. Descriptive research design was used. Data collection was sought from Commercial Banks Headquarters in Nairobi. The study was based on census approach as it focused on all the commercial banks listed on Nairobi Security Exchange (NSE), Kenya. For each commercial bank listed, 5 respondents were sought and this provided 55 respondents. The study employed both secondary and primary data. Instruments used to collect data were questionnaires, financial reports of Central Bank of Kenya website and Kenya Bankers Association journals. The analysis of tabulated data employed descriptive statistics correlation and regression with the use of Statistical Package for Social Science (SPSS). The conclusion from the findings indicates that employing proper Credit Management has affirmative and considerable influence on Loans Portfolio Performance of Commercial Banks in Kenya. Unsecured Loans has a significant and positive impact on Loans Portfolio Performance of Commercial Banks in Kenya. Further it was revealed that employing proper evaluation of Repayment Characteristics has significant and positive influence on Loans Portfolio Performance of Commercial Banks in Kenya and that Technological Advancement has significant and positive influence on Loans Portfolio Performance of Commercial Banks in Kenya. Recommendation of the study is that commercial banks should ensure they adopt sound Polices review, carry out proper client functioning credit management department. Further it is recommended that commercial banks should engage more feasible loan security measures intended to lessen loan delinquency ratios which can subsequently encourage positive customer performance.
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