Improving CSR performance by hard and soft means: The role of organizational citizenship behaviours and the internalization of CSR standards
Bibliographic record
Abstract
Abstract This study analyzes ‘hard’ (i.e. formal structures) and ‘soft’ (i.e. values) determinants of corporate social responsibility (CSR) performance, such as the effectiveness of management systems for CSR and the role of managers' organizational citizenship behaviours. Based on a sample of 130 Italian organizations that adopted management systems according to an international standard, this study shows that CSR performance depends on employees' commitment and the internalization of formalized CSR practices. The study also underlines the role of managers' organizational citizenship behaviours and the importance of leading by example in the substantial implementation of CSR practices. The integrative model proposed in the paper provides an overall picture of both the ‘hard’ and ‘soft’ factors that can explain the effectiveness of CSR management standards. The paper also contributes to the literature on the internalization and key success factors of certifiable management standards. Managerial implications of the main findings and avenues for future research 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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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".