CSR Aimed at Clients of an Animal Nutrition Business: A Case Study
Bibliographic record
Abstract
The objective of the present study is to elaborate a proposal of socially responsible practices aimed at the clients of a Mexican business whose commercial activity is the elaboration of products for animal nutrition and which does not at present have a formal CSR approach in their strategy and therefore lacks important competitive advantages for operating in the business market today.A literary revision in which the evolution of CSR was presented was carried out as part of this research. We also analyzed three main models for managing CSR in organizations and made a description of some empiric studies of CSR aimed at clients. In the development of the methodology a case study was used, resulting in a diagnosis of the situation of the business with respect to CSR along with a plan for improvement which contains the socially responsible practice proposals suggested in order to create a value relationship with this particular interest group.It is important to point out that we worked together with the members of the marketing department of the business under study, because it is attending to the needs of the clients, making the employees experience very valuable in determining proposed practices. The results of this research were intended to contribute empirical evidence about the application of CSR in the organizational strategies of emerging-market countries, while increasing existing CSR research in Mexican national industries.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.005 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".