Imperatives of Effective Working Capital Management and Profitability in the Banking Industry in Nigeria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explored the imperatives of effective Working Capital Management (WCM) and Profitability in the banking industry in Nigeria. WCM core variables namely: Short-term Investments; Credits to customers and Account Receivables and Payables were used as proxy. Survey design was adopted and data were collected using questionnaires and analyzed with Pearson Product-Moment Correlation Coefficient (PPMCC) denoted by ‘r’. The findings to an extent counter apriori expectation. Though the values of ‘r’ exhibited positive signs affirming positive relationship, the strength of relationship is on the average. This was affirmed by the values of (r2), especially that of the variable ‘Credits to customers’ which stood low at 0.2229, meaning that the variable explained only 22.29% variation in Profitability. By implications, the results suggest that WCM variables have not yielded sufficient cash flows that could optimize profits. We therefore recommend efficient surveillance of WCM variables in order to reduce instances that lead to funds losses.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it