Corporate Social Responsibility: The Principles and the Process of Integration into the System of Strategic Management
Bibliographic record
Abstract
The article deals with corporate social responsibility as part of the formation of the company’s strategy. The problem of linking the strategic management of social responsibility, which is the basis for long-term sustainable development of the organization, have a positive impact on the environment. In this connection, it clarified the essential characteristics of social responsibility of business strategy development reflecting its development, renewal of forms of representation and instruments of regulation of social activity. The principles of social responsibility, aimed at enhancing its integration into the strategic management system (multi-level development, the complexity of the implementation of the functional activities, variability management tools) were offered. The algorithm of the process of integration of social responsibility of business in the strategic management of the organization, which includes management tools for the selection of strategic priorities for the development of corporate social responsibility, was developed. For copyright management toolkit applies the matrix to determine the positioning of the organization in the coordinates of the “level of social responsibility of business - the degree of stakeholder involvement in the implementation of strategic objectives” and the Balanced Scorecard, which provides a link to strategic objectives in the field of social responsibility indicators for their achievement and tactical action based the extent of its integration into the system of strategic management.
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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 | 0.016 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.048 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".