Extrinsic and Intrinsic Drivers of Corporate Social Performance: Evidence from Foreign and Domestic Firms in Mexico
Bibliographic record
Abstract
abstract The literature on corporate social performance (CSP) is largely split between approaches that consider CSP to be extrinsically driven and those that consider it to be intrinsically driven. While the management literature has paid attention to drivers of both types, the relationship between the two remains largely unstudied, particularly in the international setting. Meanwhile, the international business (IB) literature has addressed the international dimension of CSP more directly, but focuses largely on extrinsic pressures. Our paper links the management and IB literatures by addressing intrinsic drivers (management commitment to ethics) in conjunction with extrinsic (trade‐related) drivers for both foreign‐ and domestically‐owned firms in a single‐market setting. Using survey data from 121 auto parts suppliers in Mexico, we find that management commitment to ethics is a dominant driver of CSP among both foreign and domestic firms. More importantly, management commitment to ethics interacts positively with trade‐related pressures in raising CSP levels.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".