Global Organisations and SME in India: A Comparative Study of Sustainability Initiatives
Bibliographic record
Abstract
Sustainability has become a mandatory strategy for survival on the planet. Sustainable development is an imperative for survival and growth for nations, peoples and the organisations. The study embraces the sustainability initiatives of Global and Small/Medium enterprises (SME) working in India. Data was collected for the study using a questionnaire. Mid-senior level executives were contacted for their take on sustainability initiatives by their organisations in India. The responses were collected both from globally operating organisations and SME in India. The summarised data was analysed to arrive at the conclusions. The study indicates that global organisations are operating at global scale in corporate sustainability programs for competitive advantage, to mitigate risk, for building a brand, and to regulate the complexity of global supply chains for business growth to ensure an enhanced market share/customer growth. The SMEs in India are found at a nascent stage with respect to sustainability and are only involved in activities necessary for their survival. Incorporating sustainability initiatives in the business practices of SME will need awareness and policy frame. On the other hand, the global organisations have a long way to go to create appreciable impact on the planet via their sustainability efforts. However, changes of responsible product, processes and global supply chain designs are being incorporated in their culture. These initiatives will need further push through governance and policy announcements at a regional and country level for far reaching impact. And for emerging countries like India they can be leaders in sustainability efforts for other Indian organisations particularly SME to follow sustainability based practices.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".