The Effectiveness of Management Practice in the Market of Socially Important Services
Bibliographic record
Abstract
The management system of provision of socially important services is not good traditionally in any country. Problems are objective regularities of functioning of this sector, losing sight the objective laws in interaction between consumers and producers and the established practice of management in the market of socially significant services. This article discusses the patterns of management practice that must be taken in attention so the point of view of achieving maximum efficiency in the market of socially significant services. Midpoint in analysis becomes the consumer behavior in the market of socially important services; motives for his behavior and management practice of organizations which operating in this market. The target program which developed by the state don’t tackle the real problems of this sector of the economy. These programs set performance criteria that don’t reflect customer's requirements, and consequently, the sector of socially important services will remain ineffective in the eyes of a key customer. The concept of an effectiveness of the system of supplying socially important services requires the consideration of social, professional and economic efficiency. However, economic efficiency as key criteria for organizations in the market of socially important services cannot be exclusive and unique. Only professionalism in execution of key business processes can provide long-term economic efficiency in the organization. However, many organizations in the market of socially important services where the main goal become criteria of economic efficiency, provide only short-term economic effect, destroying themselves professionally and disappearing in the market.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".