Dominant CEO, Deviant Strategy, and Extreme Performance: The Moderating Role of a Powerful Board
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
abstract This study examines the effect of dominant CEOs – defined as CEOs who are very powerful relative to other executives in their top management teams – on firm strategy and performance. Based on a sample of 51 publicly traded, single‐business firms from the US computer industry for the period 1997–2003, our results suggest that firms with dominant CEOs tend to have a strategy deviant from the industry central tendency and thus extreme performance – either big wins or big losses. Further, powerful boards weaken the tendency of dominant CEOs towards extremeness and, more important, improve the likelihood of dominant CEOs having big wins versus big losses. This study reconciles the pessimistic and heroic views regarding dominant CEOs, and suggests that the notion of power balance should be considered in a broader context.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 | 0.001 |
| 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