The Normative Core of Relational Stakeholder Strategies: Explaining Open Buyer-Supplier Relations in the Context of the Amazon Rainforest
Why this work is in the frame
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Bibliographic record
Abstract
While from an instrumental perspective stakeholder relations can promote sustained competitive advantage, normative arguments underscore the importance of morally informed principles, especially when relational strategies have uncertain future outcomes and are prone to imitation. This study investigates how such instrumental and normative views can be complementary based on the case study of Natura, a cosmetics company procuring natural inputs from the Amazon rainforest via supplier relations that are open to multiple parties, including competitors. The research shows that Natura developed and reinforced a morally informed normative core specifying how the company and its managers should act. This resulted in a long-term commitment to the open relational strategy, especially when future outcomes were largely uncertain, which in turn promoted emergent instrumental gains via deepened relational attachments and substantive stakeholder engagement. Importantly, the company’s controlling shareholders strongly influenced the normative core, thus underscoring the importance of identifying key shareholders and their values.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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