Stakeholder Influence Strategies: The Roles of Structural and Demographic Determinants
Why this work is in the frame
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Bibliographic record
Abstract
Using Frooman’s typology of stakeholder influence strategies, this research examines the strategies that stakeholders select to exert influence on a firm. Using an experimental approach, the responses of actual environmental leaders to a series of hypothetical vignettes were examined. The results of the experiment suggest how both structural and demographic variables can act as determinants of strategy choice along with how these two types of variables may both complement and inhibit one another. Specifically, the results suggest that repertoires of strategies play a critical role in stakeholder behavior. Demographic variables appear to define the repertoires of strategies the stakeholder will typically choose among, whereas structural variables further refine choice from within that repertoire.
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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 | 0.000 | 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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