Tend to one's own house: The effect of firm <scp>CSR</scp> on employee effort
Bibliographic record
Abstract
Abstract We examine whether a firm's corporate social responsibility (CSR) actions that benefit external parties can cause the firm's employees to reduce their effort. We expect employees will reduce their effort in response to their firm's external CSR actions when they perceive that they are treated poorly by the firm and that the firm's external CSR actions use resources that could have been readily transferred toward improving employee treatment. We expect that, when employees hold both of these perceptions, they will react negatively to the firm's CSR actions due to heightened feelings of unfairness. Results support our expectations and theory. We find that employees respond negatively to CSR only when they perceive that they are treated poorly by their firm and that CSR uses transferable resources. Further, we find these effects are driven by employees' perceptions of the fairness of their firm's actions toward employees. Our study suggests that firms should consider how employees perceive their treatment by the firm and the transferability of the resources used for CSR actions that benefit external parties.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".