Pilot, Pivot and Advisory Boards: The Role of Governance Configurations in Innovation Commitment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examines how governance configurations comprised of board capital, CEO power and the presence of large shareholders are associated with innovation commitment in organizations. We take a configurational perspective, proposing that organizational innovation commitment is contingent upon how interdependent governance attributes associated with monitoring and resource provisioning can either enhance or constrain management’s discretion to invest in research and development (R&D). Using fuzzy-set qualitative comparative analysis (fsQCA), we identify complementarities which lead to three board archetypes that foster firm innovation commitment. ‘Pilot boards’ have both board capital breadth and depth allowing for active and close participation in innovation decision-making. ‘Pivot boards’ possess the depth of industry-specific expertise and linkages required for providing resources and oversight of powerful CEOs. And ‘advisory boards’ have less power but have outside directors who have breadth of expertise and relational capital that complements the oversight provided by powerful family owners so as to effectively advise management on innovation decisions. Our findings underscore that governance mechanisms work in tandem, not in isolation, to explain significant organizational outcomes, specifically those associated with innovation commitment.
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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 | 0.001 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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