What does this research mean for the field?

Specific architectural strategies can enable agentic AI to effectively facilitate the formation and orchestration of circular ecosystems. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This research aims to explore architectural strategies that enable agentic AI to facilitate the formation and orchestration of circular ecosystems.

May 8, 2026Open Access

Architectural strategies for agentic AI in circular ecosystem formation and orchestration

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Key Points

This research aims to explore architectural strategies that enable agentic AI to facilitate the formation and orchestration of circular ecosystems.
Analysis of architectural frameworks for agentic AI implementation in ecosystems.
Examination of circular economy principles and sustainability metrics.
Modeling scenarios of AI-driven ecosystem orchestration.
Identified key architectural elements that enhance agentic AI capabilities in circular ecosystems.
Demonstrated improved sustainability metrics through AI orchestration in circular frameworks.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite this study

Holmes et al. (Thu,) studied this question.

synapsesocial.com/papers/69fd7fcdbfa21ec5bbf085a1 — DOI: https://doi.org/10.1504/ijasm.2026.10078194

Authors

R. Chadwick Holmes

University of Hawaiʻi at Mānoa

Daniel Hussmo

Saab (Sweden)

Journals

International Journal of Agile Systems and Management

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Architectural strategies for agentic AI in circular ecosystem formation and orchestration

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Abstract

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Cite this study

Authors

Journals

Actions

References and Citations

Citation Network

Connected Papers

Discussion