STRATEGIC ASPECTS OF RECONSTRUCTION OF ECONOMIC RESILIENCE OF UKRAINIAN ENTERPRISES IN CONDITIONS OF CORONAVIRUS CRISIS
Bibliographic record
Abstract
The pandemic of coronavirus infection COVID-19 has radically changed the course of world economic processes, and Ukrainian in particular. The consequences of the pandemic have significantly affected the economic stability of Ukrainian enterprises, demonstrating to them the urgent need to restore their economic stability. Despite the fact that a large number of leading Ukrainian and foreign scientists study the formation and maintenance of economic stability of the enterprise, some issues remain insufficiently covered, namely, they do not contain enough proposals to restore economic stability of enterprises operating in the coronavirus crisis. Purpose of the article is to study the impact of the coronavirus infection pandemic COVID-19 on the economic sustainability of world economies, as well as Ukrainian enterprises with further development of practical recommendations for the implementation of strategic aspects of its recovery. Methods of observation, comparison, analysis, analytical method and method of statistical analysis had used. It has established that the main factor of destabilizing influence on modern world economic processes is the pandemic of coronavirus infection COVID-19. The world’s largest economies in the second quarter of 2020 due to the crisis caused by COVID-19 suffered the highest, even record rates of GDP reduction. The decline in Ukraine’s GDP in this period was 11.4%. However, a decrease in the depth of decline of most types of Ukrainian economic activity has recorded. The above necessitated the development of strategic aspects of restoring the economic stability of Ukrainian enterprises, which have proposed in their practical activities in order to avoid the negative consequences of the coronavirus crisis. Given the effects of the coronavirus crisis, the development and recommendation for the practical application of strategic aspects of restoring the economic stability of Ukrainian enterprises has become an urgent need. We believe that the implementation of the proposed strategic recommendations will allow Ukrainian businesses to avoid a deep economic crisis and bankruptcy.
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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 | 0.001 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".