<scp>CEO</scp> career concerns in early tenure and corporate social responsibility reporting
Bibliographic record
Abstract
Abstract The literature on corporate social responsibility (CSR) disclosure focuses on its economic consequences, but little is known about motivations—especially CEO personal incentives—behind such disclosure. Using an array of CSR reporting measures, we find that career concerns of CEOs early in their tenure motivate them to use voluntary CSR reporting as a signaling mechanism. The negative association between CEO tenure and CSR reporting is more pronounced in firms with stronger information intermediaries—that is, a higher level of socially responsible investors, a higher number of analysts following, and a higher level of media coverage. We also find that CEOs early in their tenure receive more personal benefits after voluntary CSR reporting, in terms of higher total compensation, better reputation, and less turnover, than CEOs later in their tenure. Taken together, the findings of our study lend support to the conjecture that CEO career concerns early in their tenure can be an important determinant of firms' voluntary CSR reporting.
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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 | 0.004 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".