What does this research mean for the field?

AI-enabled sustainable supply-chain management functions as a governed capability system where data, models, decision routines, and accountability arrangements jointly convert analytical outputs into sustainability outcomes, rather than merely acting as a collection of isolated techniques. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.ESTABLISHES_NEW_DIRECTION.

What question did this study set out to answer?

To evaluate how artificial intelligence supports sustainable supply-chain management and reframe AI from isolated analytical tools into a governed organizational capability system.

September 14, 2026Business Strategy and the Environment

Artificial Intelligence as a Governed Capability System for Sustainable Supply‐Chain Management: A Systematic Review, Taxonomy and Research Agenda

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To evaluate how artificial intelligence supports sustainable supply-chain management and reframe AI from isolated analytical tools into a governed organizational capability system.
Conducted a systematic review synthesizing 53 studies at the intersection of artificial intelligence, supply-chain management, and sustainability outcomes.
Employed abductive theory-building to map Plan–Source–Make–Deliver–Return activities against sensing, prediction, optimization, and coordination mechanisms.
Formulated a conceptual six-layer governance architecture to guide the deployment and accountability of AI capabilities across supply tiers.
Identified that current literature concentrates heavily on planning and tactical decision support while largely overlooking logistics delivery, product returns, resilience, and social sustainability.
Established a process-mechanism taxonomy showing how data, predictive models, and decision routines combine across organizational tiers to drive sustainability outcomes.
Outlined priority areas for future inquiry, including tracking absolute environmental gains, protecting worker welfare, resolving resilience trade-offs, and verifying generative AI claims.

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Implication

Systematic review reveals heavy AI focus on tactical planning over social sustainability in supply networks, highlighting the need for an integrated governance framework.

Cite This Study

Woon Leong Lin (2026) studied this question.

synapsesocial.com/papers/6aa7b3ee0926e14a848b33d4 https://doi.org/10.1002/bse.71494

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Implication

Systematic review reveals heavy AI focus on tactical planning over social sustainability in supply networks, highlighting the need for an integrated governance framework.

Artificial Intelligence as a Governed Capability System for Sustainable Supply‐Chain Management: A Systematic Review, Taxonomy and Research Agenda

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Discussion

Implication

Cite This Study

Artificial Intelligence as a Governed Capability System for Sustainable Supply‐Chain Management: A Systematic Review, Taxonomy and Research Agenda

Key Points

Discussion

Implication

Cite This Study

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