Do Corporate Governance Practices Influence Working Capital Management Efficiency? Evidence From Listed Manufacturing Companies in Sri Lanka
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Bibliographic record
Abstract
The purpose of the study is to investigate the influence of corporate governance practices on working capital management efficiency in the listed companies of the manufacturing sector in Sri Lanka. Board meeting, board size, CEO tenure and size of the audit committee are used as corporate governance practices and the cash conversion cycle is calculated to measure the working capital management efficiency. Sales growth and firm size are considered as control variables to evaluate the influence of corporate governance practices on working capital management efficiency. Relevant data are extracted from the annual reports of 30 listed manufacturing companies for the period from 2013 to 2017. Finally, 150 observations are used for the data analysis. Pearson correlations are executed to determine the relationship between corporate governance practices and working capital management efficiency. OLS regression analysis is performed to determine the explanatory power of the combination of corporate governance practices on the efficiency of working capital management. The correlation analysis shows that board meeting, CEO tenure and firm size have a significant positive relationship with cash conversion cycle. The regression results suggest that board meetings and CEO tenure have a significant positive influence on cash conversion cycle. Generally, the shorter the cash conversion cycle is better for the business, therefore, according to this result the increase in a board meeting and CEO tenure have the considerable decreasing in liquidity position in an organization. Therefore, the outcome of the study may be useful to the top management of the firms and practitioners when they are implementing governance mechanisms in order to enhance the working capital efficiency.
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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 | 0.000 |
| 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 | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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