Peculiarities of the Management of the Foreign Economic Activity of Enterprises in Current Conditions of Sustainability
Bibliographic record
Abstract
The purpose of the article is to study the peculiarities of the management of foreign economic activity of enterprises in current conditions of sustainable development. To achieve the goal of the article, in the study, the following scientific methods are used, namely: analysis and synthesis - to determine approaches to understanding the concept of foreign economic activity and levels of its implementation; statistical - to form the indicators that characterize the state of foreign economic activity in Ukraine; grouping - to obtain groups of regions according to the level of foreign trade turnover; cartographic - to visualize the received groups of regions on the indicators of foreign economic activity; graphic - to visualize the system of foreign economic activity in terms of the need to achieve the stability of regions, enterprises as a leading subject of foreign economic activity and the peculiarities of foreign economic activity of the enterprise in modern conditions. Within the article, the factors of external and internal environment, on which depends the effectiveness of foreign economic activity, are considered. The systems of management of foreign economic activity of the enterprise are studied and characterized. Trends of the development and current state of foreign economic activity in the regions of Ukraine are studied. The grouping of the regions of Ukraine according to the activity of conducting foreign economic activity was carried out, with the separation of the leading and the outsider regions. According to the results of the research, the peculiarities of foreign economic activity of enterprises in modern conditions are identified and outlined, among which the following are singled out: spread of integration processes, structural transformations of the international division of labor, strengthening the role of the state in joining the world economic system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".