The effect of supply chain drivers on SMEs motivation to engage with CSR activities: a psychological perspective
Bibliographic record
Abstract
Those parties involved in promoting the Corporate Social Responsibility (CSR) agenda to SMEs are interested in the potential of supply chain drivers as an incentive to participate. Most SMEs have been affected by the inclusion of CSR criteria into procurement strategies (DTI et al., 2002), however qualitative research appeared to indicate this supply chain pressure might be counter-productive "a number of smaller businesses in the group discussions expressed concern about this pressure, seeing it as reducing the fun and fulfilling aspect of engagement and encouraging more bureaucracy at a cost of greater impact. There was real concern that this would put off other businesses." (DTI et al., 2002, p.16.). <br/><br/>Our research aimed to explore the attitudes of SME owner/managers towards supply chain pressure to engage in CSR, in particular the extent to which such external pressures may undermine internal drivers towards engagement with CSR which may be based on owner/managers' values. Based on insights gained from interviews with 25 owner/managers, an online questionnaire was constructed and distributed to SMEs throughout the South of England. In all, 103 responses were received from across a wide range of sectors. <br/><br/>The results indicate that although most respondents stated that they would be happy to comply with environmental (82%) and social criteria (55%) set by purchasers in large organisations, the concerns raised in the above DTI report have some foundation. A quarter of respondents in our survey indicated that they would be put off tendering by extra criteria and a minority (12%) thought that inclusion of such criteria would be counter-productive. Results confirmed that there is a danger of a "ceiling effect" as when asked whether imposed standards would set a lower level of responsible behaviour than they would set for themselves, 33% said they would, with only 25% disagreeing. Comments indicated a dislike of bureaucracy and a preference for voluntary engagement in CSR activities.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".