The effects of production and operational costs, capital structure and company growth on the profitability: Evidence from manufacturing industry
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
The purpose of this research is to analyze the effects of production and operational costs, capital structure and company growth on profitability. The method used in this research is quantitative method, data collection is performed by distributing questionnaires among employees of packaging industry. The population in this study are industrial employees in Jabodetabek whose numbers have not been identified with certainty. The questionnaire is distributed electronically using a simple random sampling technique. The results of the questionnaire returned are 180 respondents. Based on the results of data analysis, it is concluded that Capital structure has a significant effect on profitability. An increase in the capital structure variable will be followed by an increase in profitability and a decrease in variable capital structure will be followed by a decrease in profitability. Company growth has no significant effect on profitability. An increase in the company growth variable will not be followed by an increase in profitability and a decrease in variable company growth will not be followed by a decrease in profitability. Operational cost has a significant effect on profitability. An increase in the operational cost variable will be followed by an increase in profitability and a decrease in variable operational cost will be followed by a decrease in profitability. Production cost has no significant effect on profitability. An increase in the production cost variable will not be followed by an increase in profitability and a decrease in variable production cost will not be followed by a decrease in profitability.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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