The diffusion of corporate social responsibility through social network ties: From the perspective of strategic imitation
Bibliographic record
Abstract
Abstract Drawing on institutional and organizational learning theories, this study empirically investigates the imitation of corporate social responsibility (CSR) between firms tied by board interlocks, an important type of corporate social network tie. We propose a positive relationship between the CSR engagement of a focal firm and that of its tied‐to partners and examine how this relationship is moderated by the characteristics of both the focal and tied‐to firms. Using a sample of Chinese‐listed companies, empirical evidence is provided to show that a firm's engagement in symbolic CSR is in a positive relationship with that of its tied‐to partners; this relationship becomes stronger for smaller firms and those facing high uncertainty. Furthermore, when firms are linked to smaller firms, this relationship becomes more prominent. Our findings contribute to the CSR and social network literature, as well as the research on strategic imitation. Finally, implications for business management and government policy are discussed.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".