DETERMINANT OF INTERNAL CONTROL SYSTEM EFFECTIVENESS IN A MANUFACTURING COMPANY
ABSTRACT
The study sought to determine the effect of internal control system on financial performance of manufacturing firms in Tuyil pharmaceutical ltd. To achieve the objective of this study, the study used hypothesis testing research design. The study tested the following hypotheses: H1: Internal Controls and Financial Performance are positively related; H2: Internal Controls have a significant impact on Financial Performance. The population chosen for this study was 65 working staff of the Tuyil ltd. The study selected a sample of 20 working staff from a target population of 65 working staff. The sample was drawn using stratified random sampling technique. The study relied on both primary and secondary data. Primary data was collected using structured questionnaires while the secondary data was gathered from financial statements based on availability and accessibility of data.
The findings revealed that Tuyil pharmaceutical ltd had a control environment as one of the functionality of internal controls of the organization that greatly impacts on the financial performance of the firm. It was also established that the management had put in place mechanisms for mitigation of critical risks that may result from fraud. The study examined the effect of control activities on the financial performance of Tuyil pharmaceutical ltd. The results also revealed that the staffs were trained to implement the accounting and financial management systems (M=3.24, S.D=1.334), the security system identified and safeguarded organizational assets (M=4.20, S.D =1.334). The statistical results from the regression analysis show that there is a positive relationship between internal control and financial performance of Tuyil pharmaceutical ltd. The independent variables (Control Environment, Risk Assessment, Control Activities, Information and Communication and monitoring) contributed to 75.7% of the variation in financial performance as explained by adjusted R2 of 0.75.7% which shows that the model is a good prediction.
