Analysis of the transaction cost in modern conditions
Bibliographic record
Abstract
© Canadian Center of Science and Education. The activities of any organization linked to transaction costs, which are often of great size. If the organization will be able to lower transaction costs while maintaining performance, this can result in more effective organizational management structure and activities of the organization as a whole. Transaction costs arise because of different interests of the communicating parties, but also because of the uncertainty factor. Because transaction costs was escorted somehow all the functioning of the organization, you must implement their accounting and analysis. This will help to understand the causes of transaction costs and reduce them. But when ones transaction costs are decrease another transaction costs can increase. In order to reduce transaction costs, the need to consider options for the management structure, which would enable the organization to achieve their goals? The various organizational structures of governance have a different structure of transaction costs and a different size of transaction costs. Not to use the methodology transaction cost analysis can lead to unreasonable use of the resources of the organization. Analysis of the transaction cost is not possible without clear classification. In this article, this classification is presented. Transaction costs can be considered as the cost of the resources spent on the transaction. This allows you to calculate the size of transaction costs in the size in a cost equivalent. By use of the methodology which was proposed in this article, were examined the organizations that are located in Russian Federation and works in the petrochemical industry.
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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 | 0.011 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.014 |
| Science and technology studies | 0.000 | 0.021 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.007 | 0.000 |
| Research integrity | 0.001 | 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".