Does Working Capital Management Impact How Well a Company Performs? Panel Data Analysis on the Textile Industries of Bangladesh
Bibliographic record
Abstract
Managing working capital is vital to the expansion and development of manufacturing companies. The performance of Bangladeshi textile industries and the implications of working capital management are the main focus of this study. Working capital is represented by the inventory conversion period, receivable collection cycle, payable deferral cycle, and cash conversion cycle, whereas firm performance is determined by ROA. From 2013 to 2022 ten years panel data were collected from the annual reports of ten listed textile companies of Bangladesh. Panel Least Square (PLS), fixed affect, random effect, and the Hausman test were all executed using the STATA program to determine the influence of independent factors on the dependent factor. The ROA of Bangladesh's textile industries was found to be significantly affected by the Inventory Conversion time, Receivables Collection time, and Cash Conversion Circle, but not by the Payable Deferral time.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".