Embedding corporate responsibility through effective organizational structures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to explore the ways in which companies are embedding the corporate responsibility function in different organizational structures, and to identify, when possible, best practices related to organizational structures which have proved effective in managing corporate responsibility that can be applied by any organization, regardless of size or industry sector. Design/methodology/approach The authors developed and applied a methodology, in the form of a questionnaire, covering more than 40 aspects to describe what companies are doing to integrate the corporate responsibility function in their organizational structures. The design of the survey was based on available literature as well as their own professional experience answering questions commonly received from clients in Latin America. The questionnaire was then applied to a small sample using companies' public information from reports and company web sites. Findings The application of the questionnaire on a sample of Chilean companies using their public information tested the tool as valid and fit for the designed purpose. The main conclusions were that CSR structuring and CSR strategies are both strongly associated with the size of the company in terms of number of employees and revenues. Originality/value Many questions arise when the task of implementing CSR is proposed and Latin American companies are trying to apply best practices by learning from the experience of companies with longer histories in CSR matters. However, trends are not uniform and different organizations are taking a variety of pathways in the process of CSR implementation. This paper offers a general vision of how companies are making the effort to implement CSR best practices, in terms of structure, strategy and scorecard; and presents a simple tool to assess the gaps, if any, in the effective embedding of corporate responsibility on organizational structures.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it