Introduction of Internal Audit as an Innovative Tool for Improving the Economic Efficiency of Enterprises
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 production of paint and varnish materials is one of the main sectors of the chemical industry, which is rapidly and dynamically developing in the context of innovative changes. Enterprises of the paint and varnish industry create new jobs using the latest technologies, including digital ones, which can be implemented on a powerful material and technical base. The study examines global trends in the development of paint and varnish industry enterprises and determines prospects for major manufacturers. In the article, the impact of the global economic crisis deepened by the COVID-19 pandemic on the production and consumption of paint and varnish materials is analysed. The pandemic has lowered prices for chemical products, reduced orders for the supply of paint and varnish materials, and considerably increased international competition between manufacturers. Moreover, the study estimates the volumes and substantiates the need for investment in the further technological development of paint and varnish industry enterprises to reduce the energy intensity of production, material consumption of products and ensure their high quality, affordable price, and environmental safety. An internal audit of fixed assets at paint and varnish industry enterprises revealed a substantial deviation in the cost of fixed assets in the financial statements (it can reach 10-14%). Timely and well-founded management decisions on the reproduction and modernisation of fixed assets will provide enterprises with the opportunity to use the latest technological support for the production of quality and environmentally friendly products, increase their economic efficiency and competitiveness.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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