The Theoretical Impact and Approach of Social Responsibility in Companies Management
Bibliographic record
Abstract
Purpose: The aim of this study is to understand, by a theoretical point of view, the potential impact of Social Responsibility practices in company’s management, taking in consideration several aspects and sundry approaches, by analysing the main defined strategies and policies.Design/Methodology/Approach: The concept is related with a philosophical and moral idea of corporate behaviour to the development of legally binding regulations, cultural and climate organizational characteristics.Findings: It is determined that development must be based on a Sustainable Economy while aligning these actions with the Sustainable Development Goals established and at the same time the economic performance of the companies.Conclusion: For a Social Responsibility Strategy, it is also crucial that the Human Resources departments, the commercial and marketing areas share and expose the actions that have an impact on the society where they are installed.Practical Implications: Works on the establishment of this commitment and identification with the company through Social Responsibility policies have highlighted the role of management and leadership style in facilitating or not these processes.Contribution to Literature: As new, the management team, as in other facets, has an important role to play in choosing exactly the specific objectives that have a direct impact on the company's environment and on the society of which the employees are a part, regarding and including the productivity aspects.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.041 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".