This research paper examines the factors influencing financial performance of E-banking of b commercial banks in Kakamega County, Kenya. Ten commercial banks in the county were considered. Three management staffs were considered for this... more
This research paper examines the factors influencing financial performance of E-banking of b commercial banks in Kakamega County, Kenya. Ten commercial banks in the county were considered. Three management staffs were considered for this study. Target population was 30 management staff. The whole sample was used in the research. Quantitative questionnaire was administered. 25 of the questionnaire were returned and analyzed. Descriptive analysis was used where percentages were used to show the view of management on factors influencing performance of e-banking. For inferential analysis, correlation and regression were used. E-security was found to be positively correlated to performance and was significant. The researcher recommends that bank management should put emphasis on e-security for e-banking as this will significantly affect performance.
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Corporate Social Responsibility is how business organization activities influences the stakeholder interest.CSR plays a very important role in organizational performance. Most organizations have embraced corporate social responsibility... more
Corporate Social Responsibility is how business organization activities influences the stakeholder interest.CSR plays a very important role in organizational performance. Most organizations have embraced corporate social responsibility without substantial increase in organization performance hence the research sought to find out the effect of CSR on organization performance. This research limited itself to selected commercial banks in Kakamega that’s equity and cooperative bank. A population of over 10,000 customers, the researcher picked on corporate customers of around 70 customers; a sample size of 50 was used to carry out the research. The questionnaires which were administered randomly for bank management, bank staff and customer among other stake holders in the banking industry. The internal consistency for performance independent variable was achieved through the use of reliability Cronbach’s Alpha coefficient which had an alpha of 0.915 implying that the instruments used were reliable for the study. Based on the results of this study, it was concluded that philanthropic responsibility of a bank has an impact on bank performance. The positive significant correlation coefficient 0.490, P<0.05 shows that any increase in philanthropic responsibility will increase the performance of the bank.The intervening variables government policy and priority both had significant impact on organisation performance as there was significant increase in R squared for both models though government policy had got the highest increase of the two variables..The study recommended that for banks to retain its customers, they should focus on more on their ethics of how they treat their employees, customers and other stakeholder Bank management should prioritise CSR activities in their institution and ensure enough resources and personnel are set aside to fund the CSR activities. They can co-operate CSR as of its core functions thereby implementing it seriously. Bank management should implement Government policy on CSR because it has a positive impact on customer retention and performance as some of the activities are appealing to customer. Government agencies on environment should create awareness to citizen so as to make bank customer identify those banks that adhere to environmental regulation and laws as many customer are unaware of the importance of green and clean environment
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The purpose of this paper was to investigate G4S Kakamega Cluster logistics situation in delivering services to its customers in a less costly way and also formulate proposals that will result to efficient networks geared towards high... more
The purpose of this paper was to investigate G4S Kakamega Cluster logistics situation in delivering services to its customers in a less costly way and also formulate proposals that will result to efficient networks geared towards high performance in supply chain activities. The project targeted 60 G4s staff involved directly in logistics work in Kakamega cluster. This research adopted a census approach. Data collection was done using, observation and questionnaires. The data collected was analysed
by the use of descriptive statistical measures. The study finding indicates that 93.6% respondents confirmed that the
organization is involved in cost cutting measures which are essential in achieving targets. Hence cost minimization efforts are key to achieving high logistical performance. Since firm’s competitiveness can be enhanced through cost minimization and service improvements in logistics activities, it is important that companies are steadfast in measuring logistics related performance.
by the use of descriptive statistical measures. The study finding indicates that 93.6% respondents confirmed that the
organization is involved in cost cutting measures which are essential in achieving targets. Hence cost minimization efforts are key to achieving high logistical performance. Since firm’s competitiveness can be enhanced through cost minimization and service improvements in logistics activities, it is important that companies are steadfast in measuring logistics related performance.
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This paper examines the impact of corporate governance on capital structure for firms listed on NSE Kenya. The total population of non-financial firms is 50.A sample of 30 companies whose data for 5 years from 2007-2011 was selected. The... more
This paper examines the impact of corporate governance on capital structure for firms listed on NSE Kenya. The total population of non-financial firms is 50.A sample of 30 companies whose data for 5 years from 2007-2011 was selected. The study uses five corporate governance proxies: Board size (BS), Ownership concentration (ONC), Institutional share ratio (ISR), CEO duality (CED), Board independence (BI) as independent variables. Four capital structures variables are: Long term debt to asset ratio (LTDA), Short term debt to asset ratio (STDA), Debt equity ratio (DE), and Total debt to asset ratio (TD) as dependent variables. The analysis used both descriptive and inferential analysis where correlation and linear regression were used.An average of 7 directors are on the board of firms with 93% of firms CEO doubling as a director.Using model 1 regression equation positive correlation is shown between TD with corporate governance proxies CED which is significant at 95% significant level. Using model 2 regression equation size of the firmSz taken as natural logarithm of sales as a moderating variable CED is negatively correlated to STD and DE and is significant implying firms tend to adopt pecking order theory to avoid more debt
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This paper examine the relationship between a firms capital structure and performance among a sample of 30 companies listed on NSE whose data for 5yrs period 2007-2011 was available has been selected. The study uses six performance... more
This paper examine the relationship between a firms capital structure and performance among a sample of 30 companies listed on NSE whose data for 5yrs period 2007-2011 was available has been selected. The study uses six performance measures return on asset (ROA), return on Equity(ROE) , earning per share (EPS) dividend payout (DPO) Market price to book ratio of stock. As dependent variable and 3 capital structure measures short term debt to asset ratio, (STDA), long term debt to asset ratio (LTDA) and total debt to asset ratio (TDA) as independent variable. Size of the firm taken as natural logarithm of sales was considered as a moderating is variable. The result using model I indicate that there a significant correlation between TA of a firm and LTDA. LTDA had a positive correlation with ROE and EPS which is insignificant and a weak, while a negative correlation with ROA which is significant. PBR and DPO is negative and weak form. STDA had a positive correlation with ROE, DPO and PBR while negative with ROA and EPS. TDA had a negative relationship with ROA and EPS but with a positive correction with ROE, DPO and PBR. When using model II where size of a firm had been factored in, showed a strong positive correlation with the capital structure proxies which is significant. Size also has an impact by reversing the correlation of TDA with PBR and DPO from negative correlation increasing to positive while that of TDA with ROE from positive to negative.
Thus firms on NSE appear to use less debt in there capital structure making many firms to pay less interest. Thus not increasing the risks the firm may be exposed to as debt tend to reduce performance. Pecking order hypothesis takes preference.
Thus firms on NSE appear to use less debt in there capital structure making many firms to pay less interest. Thus not increasing the risks the firm may be exposed to as debt tend to reduce performance. Pecking order hypothesis takes preference.