Ownership structure, contingent-fit, and business-unit performance: A research model and empirical evidence
Why this work is in the frame
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Bibliographic record
Abstract
This study investigates the influence of contingent-fit on the relationship between ownership structure and business-unit performance. We predict that contingent-fit between business strategy and its contextual variables will have a positive relationship with business-unit performance. We also predict that widely-held companies will perform better than their closely-held counterparts but that the magnitude of the performance differential will decrease with the increasing level of contingent-fit. Overall, the results are consistent with our predictions. We found that contingent-fit is positively related to business-unit performance and widely-held business-units perform better than their closely-held counterparts. The performance advantage, however, was mitigated by the level of contingent-fit.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 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