Sustainability Matters: Why and How Corporate Boards Should Become Involved
Bibliographic record
Abstract
Corporate sustainability can be broadly defined as the pursuit of a business growth strategy by allocating financial or in-kind resources of the corporation to a social or environmental initiative. Today, more than ever, corporate sustainability has risen to the status of strategic business matter and demands supervision from the top. However, despite the extensive body of literature available on corporate governance and sustainability as separate areas of research, minimal attention has been paid to the interaction between the two. In particular, there is limited knowledge of the role that should be performed by the board of directors in designing, endorsing, and overseeing the implementation of a corporate sustainability program.The publication highlights a series of issues for a pragmatic boardroom discussion on the subject. Chapters include:- The business case for corporate sustainability.- The legal case for corporate sustainability.- Emerging board practices in corporate sustainability oversight.- Sustainability and customer value.- Sustainability performance assessment.- Sustainability communication.- Sustainability and corporate philanthropy.
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.
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 | 0.015 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".