Management of Agricultural Production Enterprises in the Globalization of the Economy: Current State and Development Prospects
Bibliographic record
Abstract
The article examines in detail the features of management of agricultural enterprises in the globalization of the economy.The principles and approaches of management of agricultural enterprises are highlighted.The purpose of management of agricultural enterprises is to ensure the most efficient activities with minimal costs of available resources; and reducing the effects of external threats and risks, especially those related to the globalization of Ukraine's economy.Management uses a wide range of tools and methods, covering, among other things, the use of modern technology and advanced technologies of labor and production, information flows, employee interaction and various functional units.An innovative approach to the management of agricultural enterprises plays an important role, as it is to promote the emergence of entrepreneurial ideas, identify new market needs and the optimal combination of ways and methods to meet them based on non-standard tools, formats and management methods.An effective management system of agricultural enterprises is based on numerous principles, among which the key ones are system, complexity, openness, transparency, flexibility, high adaptability, optimal combination of interests of the enterprise and the interests of regional development and economic development as a whole and other principles.Currently, the most effective management of enterprises contributes to the development of the agricultural market of Ukraine as a whole.The main purpose of using management tools is to ensure maximum efficiency in achieving the goals.An innovative approach to enterprise management is described, which is effective in the context of globalization of the economy and contributes to the strategic development of agricultural enterprises.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".