Supply chain pressures and SMEs’ CSR practices: the moderation effect of supply chain position
Bibliographic record
Abstract
Drawing from institutional and resource dependence theories, this paper investigates how supply chain pressures influence the various dimensions of CSR, i.e. environmental practices, human resources practices, community involvement practices, and marketplace practices, in SMEs. Using a structural equation modelling approach and data collected from 273 SMEs, our findings indicate that institutional pressures exerted by supply chain partners differently influence the level of CSR practices in SMEs. Notably, the study demonstrates that coercive pressures have no significant influence on CSR practices, whereas mimetic and normative pressures positively and significantly influence the level of CSR practices. Furthermore, the positive influence of normative pressures on CSR practices is stronger for SMEs situated downstream in their supply chains, whereas SMEs in further upstream positions are sensitive to mimetic pressures for their environmental, workplace and marketplace practices. Overall, this study provides unique insight on the association between supply chain pressures and CSR practices in SMEs.
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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 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 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".