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Meta analytic study of human AI co decision systems and workforce intelligence in enhancing sustainability performance in circular supply chains
- Truvace record
- TRV-2026-2739raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
- sha256
- 8c055bab882b…check it
Abstract The shift to circular supply chains (CSC) in the context of Industry 4.0 has further driven the adoption of artificial intelligence (AI) for production planning, logistics and sustainability considerations. But an increasing body of evidence suggests that the environmental implications are less a matter of AI adoption and more about how effectively AI complements human judgment and human skills. The paper contributes by introducing a meta-analysis on the function of human–AI co-decision systems and labo…
60Gain side
How the two sides scoreClose call
56Problem side
The gain
A meta-analysis of 269 empirical studies (2018 to 2025) found human-AI co-decision systems were significantly and positively linked to circular behaviour and better environmental performance in supply chains.
The problem
The same 269-study meta-analysis found economic gains from human-AI co-decision systems in circular supply chains were rather modest, well below the social sustainability gains, pointing to real trade-offs.
A fixed formula sets both scores from the evidence and its sources. Reader votes don’t move them.
What the scores mean
G is the gain side, out of 100. It goes up when the gain is specific, when it measurably helped people and when the sources behind it are strong.
P is the problem side, out of 100. It goes up when the problem is specific, when it measurably hurt people and when the sources behind it are strong.
What this doesn’t fix
The authors note that economic gains were modest and that implementation involves real-world trade-offs, so benefits were uneven across sustainability dimensions.
Sources
1 on file- Discover Sustainabilitydoi:10.1007/s43621-026-04157-x
Cite this record
v1Truvace Impact Record TRV-2026-2739, v1: “Meta analytic study of human AI co decision systems and workforce intelligence in enhancing sustainability performance in circular supply chains.” Truvace, 2026-11-12. /record/TRV-2026-2739 (accessed on the day you copy it). sha256 8c055bab882b3031…
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