The Role of Board of Directors: Delegation vs Involvement in the Strategic Decision-making
Bibliographic record
Abstract
Nowadays it is widely accepted that one of the central responsibilities of any board is to set strategic direction for the firm and ensure its long-term survival. The board needs to assess the appropriate level of delegation to the firm’s top-management that allows the board to be sufficiently involved and to enable management to bring its specific expertise into the formulation and implementation of corporate strategies. Although most of the corporate governance literature has focused on the monitoring and control role of the board, this research complements that traditional line of inquiry by examining the other equally role of the board in its advising, counseling and service role. Non-executive directors are expected to be objective overseers of the executive team. However, that “objectivity” comes at a high price with respect to board involvement because it brings with goals that can sometimes be at odds with the executive team, yet the executive team will always have a knowledge advantage over the non-executive directors. There are some who argue that part-time non-executive directors are no longer feasible, particularly for large corporations, and that there needs to be a movement to full-time professional directors. Indeed, there is some empirical evidence suggesting that full-time professional directors are more effective than part-time non-executive directors are. While we are sympathetic to that public policy position, it highlights the practical and theoretical challenges associated with this research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".