Integrating normative values and/in value creation: A strategic management decision aid tool for social enterprises' values practices
Bibliographic record
Abstract
Abstract Normative values are one of the most central motives for the creation of nonprofits and social enterprises. Nevertheless, their actual role in the management of these organizations has been little explored. Furthermore, the social enterprise literature has typically approached the concept of value from a value creation perspective. This paper looks at the role played by normative values in the strategic management decisions of a nonprofit social enterprise and unpacks the dynamics between the enactment of these values and the creation of social and economic value. In terms of practical implications, this research allows for proposal of a value‐based, strategic management decision aid tool that emerged from the in‐depth, longitudinal study of a work integration social enterprise. Our findings suggest that the enactment of normative values can actually feed in economic value creation, which, in turn, allows for strengthened respect of the normative values, thus generating virtuous cycles that ultimately help the organization to find a coherence between its social mission and market.
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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 | 0.025 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".