Breaking Through? The Divergent Consequences of CEO Political Ideology on Firm Inventiveness
Bibliographic record
Abstract
We draw on upper-echelons literature recognizing the important role of CEOs in firm strategy, including innovation, and research on CEO political ideology and executive discretion to explore the relationship between CEO political ideology and firm breakthrough inventions. We suggest that CEO liberalism is a double-edged sword and is positively associated with firm breakthrough inventions but also less-useful inventions. We suggest that these relationships are shaped by three different sources of executive discretion: CEO-TMT pay gap, institutional investors, and existing product-market competition. We find support for our hypotheses on a sample of 581 public firms using firms’ patenting and citation activities to capture inventions. We infuse a values, contingency-based perspective to work on CEO characteristics and firm breakthrough inventions, provide a more comprehensive understanding of the multifaceted nature of managerial discretion in setting or deviating firms on/from certain technological trajectories, and extend work on political ideology by showing the relevance of political ideology for explaining not just variations in firm internal resource allocation decisions, corporate activism, and entrepreneurship but also in the level and nature of inventions it produces.
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".