Why do Boards Differ? Because Owners Do: Assessing Ownership Impact on Board Composition
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Manuscript Type Empirical Research Question/Issue Does the ownership structure of a firm, specifically the aggregation of the different ownership types within each firm, relate with the composition of its board? Research Findings/Insights Using archival data from a sample comprising 1,487 U.S . firms, we find that the composition of the individual profiles of directors on corporate boards (i.e., independent, affiliated, or insider) match a firm's aggregated ownership configuration (institutional, corporate parent, family‐entrepreneur control) even after parsing out the impact of CEO characteristics, firm size, and performance. Further analyses elaborate on the specific relationship between each director profile and ownership types present within the firm. Theoretical/Academic Implications This study builds upon three conceptual perspectives: agency, resource dependency, and behavioral. We argue that each type of ownership has differing imperatives and may prefer different types of directors to fulfill their governance needs. The paper illustrates that the relationship between corporate governance, specifically board composition, and ownership is a comprehensive phenomenon that is best understood through multiple theoretical lenses. Practitioner/Policy Implications This study shows that ownership and board composition are not substitutable governance mechanisms as commonly understood, but might be complementary mechanisms. A finding that governance mechanisms are complementary implies that regulatory or institutional pressures to modify board composition with the addition of directors with similar profiles may affect the governance in unforeseen ways.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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