Internal Controls and Performance of Selected Tertiary Institutions in Ekiti State: A Committee of Sponsoring Organisations (COSO) Framework Approach
Bibliographic record
Abstract
This study examined the effect of internal controls on performance of selected tertiary institutions in Ekiti state using a committee of sponsoring organisations (COSO) framework approach. The study employed a survey research design. Primary data were obtained and analysed using multiple regression analysis. Findings from the study showed that the overall influence of COSO components of internal control on performance of selected tertiary institutions in Ekiti state was significantly positive. However, Control activities (CA) (t =2.487, p=0.013 <0.05), Information & communication (IFC) (t=7.195, p=0.000 < 0.05) and Monitoring activities (MA) (t=4.809, p=0.000 < 0.05) had significant and positive influence on organisational performance of the selected tertiary institutions while Control environment (CE) (t =0.569, p=0.570 > 0.05) and Risk assessment (RA) (t=0.446, p=0.656 > 0.05) had positive but insignificant effect on organisational performance of the selected tertiary institutions. The study concluded that internal control had a positive effect on performance and was statistically significant in explaining performance of selected tertiary institutions in Ekiti state. The study thus recommended that those charged with governance in tertiary institutions should strengthen the highlighted components of internal controls.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".