Top Management Team Cognitive Heterogeneity and Corporate Social Responsibility Performance
Bibliographic record
Abstract
Based on stakeholder theory, this study constructs an evaluation system of corporate social responsibility (CSR) performance indicators in three dimensions: economic, social and environmental. And by focusing on the mediating role of green innovation, the influence of Top Management Team (TMT) cognitive heterogeneity on CSR performance is explored. Ownership type and environmental regulation are considered as moderating variables affecting the above relationship. Based on the annual reports of Chinese manufacturing companies listed in Shanghai and Shenzhen A-shares from 2015 to 2021, it is found that TMT cognitive heterogeneity inhibits CSR performance. But at the same time, TMT cognitive heterogeneity also promotes CSR performance by stimulating corporate green innovation, which is manifested as a masking effect. Ownership type and environmental regulation moderate the masking effect of green innovation on TMT cognitive heterogeneity and CSR performance.
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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 | 0.001 | 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 | 0.000 |
| 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".