Corporate social responsibility and employee engagement: The moderating role of <scp>CSR</scp>‐specific relative autonomy and individualism
Bibliographic record
Abstract
Summary Growing evidence suggests that employees' perceptions of their employer's corporate social responsibility (CSR) relate positively to employee work engagement. This is an important connection given the impact of work engagement on both employee health and organizational productivity, as well as the importance of CSR for society. In this paper, however, we argue that the CSR perceptions–work engagement relationship cannot be assumed to be universal and that both individual and contextual factors will place meaningful boundary conditions on this effect. Integrating motivation and cross‐cultural theories, we propose that the relationship between employees' CSR perceptions and their work engagement will be stronger among employees who perceive higher CSR‐specific relative autonomy (i.e., employees' contextualized motivation for complying with, advocating for, and/or participating in CSR activities) and that this amplification effect will be stronger among employees who are higher on individualism (studied at the individual‐level of analysis). These predictions were mostly supported among a sample of 673 working adults from five different regions (Canada, China [mainland], France, Hong Kong, and Singapore) and while controlling for first‐party justice perceptions, moral identity, employee demographics, and employer/nation characteristics. Theoretical and practical implications are discussed.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.004 | 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".