How does profitability get affected by working capital management in food and beverages industry
Why this work is in the frame
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Bibliographic record
Abstract
This study examines the working capital management of the Food and Beverage Corporations from the U.S.A. and Canada during the 10 years study period from year 2000 to 2009. Firstly, unlike previous studies which advocate a linear relationship between the working capital management and profitability, it investigates the existence of a possible non-linear relationship. Secondly, the efficiency of working capital management was checked using performance index, utilization index and efficiency index rather than using the conventional turnover ratios. Thirdly, the distribution of working capital measure i.e. cash conversion cycle and factors affecting viz. leverage, growth, size, age, cash flow and fixed assets to total assets ratio has been studied. The results suggest the existence of concave relationship between the working capital management and profitability. The findings also revealed that the corporations were efficient during the study period.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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