Bibliographic record
Abstract
Abstract Research Question/Issue We examine chief executive officers' (CEOs) lifetime work experience in private firms and its potential influence in shaping managers' style in public firms and their corporate policies and thus the market's perception of a firm's risk. Research Findings/Insights We find that the idiosyncratic risk of public firms increases with the extent of CEO work experience in privately owned firms ( CEO private experience ). While there is no evidence of higher investment risk taking by private CEOs, the proportion of private‐firm work experience has a positive association with disclosure deficiency, decrease in manager‐owner agency conflicts, and an increase in political risk revelations at earnings conference calls, which, in turn, are associated with the elevation of idiosyncratic risk. Theoretical/Academic Implications The findings of this study underscore arguments in the upper echelons theory, imprinting theory, and behavioral agency theory. The study also has implications for literature related to corporate disclosure, governance, and political risk. Practitioner/Policy Implications Idiosyncratic risk is important for firms, as the literature suggests it hurts a firm's ability to finance future capital investments; therefore, it is optimal for corporate boards to have strategies in place to monitor and offer orientation packages targeted at alleviating CEO style heterogeneities presented by their prior work experience in private firms.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".