Supply Chain & Due Diligence
Ethical sourcing
Ethical sourcing is procurement or sourcing activity that considers labour, human rights, environmental and business-conduct expectations alongside commercial requirements.
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Ethical sourcing is procurement or sourcing activity that considers labour, human rights, environmental and business-conduct expectations alongside commercial requirements.
Overview
What it means in practice
Ethical sourcing should be read as a supply-chain and due-diligence term. Its practical meaning depends on the product, relationship, tier, geography and evidence available.
In practice, users should state the boundary, actor, evidence source and decision context. That keeps ethical sourcing clear enough for review without overstating what is known.
Why it matters
Ethical sourcing matters because supply-chain language is often used to allocate responsibility, request evidence and decide where risk work should focus. Clear wording helps avoid hiding uncertainty behind familiar terms.
Common misconception
A common error is to treat Ethical sourcing as proof of control. The stronger approach is to state what has been verified, what remains unknown and what evidence supports the claim.
Review questions
Who is using the term, and for what decision? What source or evidence supports it? What boundary, role or limitation should be stated so the reader does not overread the claim?
Review
Public comments appear only after editor acceptance. Draft comments stay in the review queue.
Reviewers choose the definition or an overview paragraph, leave a comment or replacement, and attach evidence or a source link.
Editors compare reviewer cards side by side. AI may help find agreement, conflicts, unsupported claims and possible source issues.
Only an editor-accepted synthesis changes the public page. Reviewer identities are shown only with consent and verification.
Submitted reviews stay private until accepted.
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Review board
Comment on a specific line. Each reviewer stays separate until an editor accepts a merged draft.
Each person comments on the definition or overview in their own draft card, with role, evidence and suggested wording kept together.
AI can compare comments against the current text, flag conflicting claims, surface missing evidence and identify where reviewers agree.
An editor merges compatible suggestions into a draft change, checks sources, records disagreements and decides what can be published.