Creating Shared Value: the Fundamental Ontology of Establishing and Movement in Business
Bibliographic record
Abstract
The creation of CSV concept of Porter and Kramer (2011) has uncovered in empirical evidence to both of academic and business practical which a concept prominently manifested currently and future of business prospect. The anticipation and challenge manipulating have become meaningful and sophisticated hence; this article aims to explore a new aspect of CSV as the fundamental ontology of business creation and examine the movement in the business founded on the opportunity to create social value. The resulting proposes creating shared value (CSV) indeed defined as the fundamental of business procreation where business can express manifesting to establish the competitive advantage particularly the transformation changed reciprocated to social value. The three case studies enlighten the significant of focused strategy and the adaptability direction of business needed to engage shareholder anticipation which seems to be crucial for social value creation. In addition, manipulation of CSV-single value focused strategy deals with business operation and social value creation as a favorable arrangement.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.068 |
| Scholarly communication | 0.021 | 0.018 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 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".