Supply chain corruption practices circumventing sustainability standards: wolves in sheep's clothing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose A growing number of private, voluntary and mandatory sustainability standards have recently emerged. However, supply chain corruption practices as mechanisms to circumvent sustainability standards have also grown and occur regularly. This paper strives to elaborate theory on the intersection of institutional theory, business corruption and the sustainability standards literature by investigating factors that influence the emergence of supply chain corruption practices. Design/methodology/approach Based on secondary data, four in-depth case studies of supply chain corruption practices are investigated through the use of adaptive theory and the method of constant comparisons to elaborate theory on this important phenomenon. Findings The paper suggests that although sustainability standards can improve supply chain sustainability performance, if they are adopted only symbolically and not substantively, unanticipated outcomes such as supply chain corruption may occur. The study proposes a typology of supply chain corruption practices, further explores the symbolic adoption of sustainability standards in supply chains and proposes the novel construct of “social isomorphism for corruption.” Since focal companies play central roles in leading supply chain corruption practices, we reason that they can also play a pivotal role in preventing supply chain corruption practices by promoting the substantive adoption of sustainability standards across their supply chains. Originality/value This paper elaborates theory on the challenging phenomenon of corruption in supply chains by linking the supply chain management literature to the corruption and the sustainability discourses and offers important insights to aid our understanding on the topic. It generates six propositions and four contributions to the sustainable supply chain management theory, practice and policy.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.001 | 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 it