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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Matos, A. J., Alturas, B. & Kamel, A. (2026). Agentic AI in Supply Chains: Balancing Trust and Autonomy in Disruption Scenarios. In Florinda Matos & Pedro Sebastião (Ed.), European Conference on Innovation and Entrepreneurship (pp. 914?921). Academic Conferences and Publishing International Ltd. https://doi.org/10.34190/ecie.21.1.5474
Exportar Referência (IEEE) 
A. J. Matos et al.,  "Agentic AI in Supply Chains: Balancing Trust and Autonomy in Disruption Scenarios", in European Conf. on Innovation and Entrepreneurship, Florinda Matos & Pedro Sebastião, Ed., Lisboa, Academic Conferences and Publishing International Ltd, 2026, vol. 21, pp. 914-921
Exportar BibTeX 
@inproceedings{matos2026_1791309504477,
	author = "Matos, A. J. and Alturas, B. and Kamel, A.",
	title = "Agentic AI in Supply Chains: Balancing Trust and Autonomy in Disruption Scenarios",
	booktitle = "European Conference on Innovation and Entrepreneurship",
	year = "2026",
	editor = "Florinda Matos & Pedro Sebastião",
	volume = "21",
	number = "",
	series = "",
	doi = "10.34190/ecie.21.1.5474",
	pages = "914-921",
	publisher = "Academic Conferences and Publishing International Ltd",
	address = "Lisboa",
	organization = "Academic Conferences and Publishing International Ltd",
	url = "https://papers.academic-conferences.org/index.php/ecie/article/view/5474"
}
Exportar RIS 
TY  - CPAPER
TI  - Agentic AI in Supply Chains: Balancing Trust and Autonomy in Disruption Scenarios
T2  - European Conference on Innovation and Entrepreneurship
VL  - 21
AU  - Matos, A. J.
AU  - Alturas, B.
AU  - Kamel, A.
PY  - 2026
SP  - 914-921
SN  - 2049-1069
DO  - 10.34190/ecie.21.1.5474
CY  - Lisboa
UR  - https://papers.academic-conferences.org/index.php/ecie/article/view/5474
AB  - Artificial Intelligence (AI) is no longer just a tool that supports human decisions. It is becoming an active participant in the economy, one that negotiates, transacts, and coordinates autonomously with other AI agents at a speed and scale that no human organisation can match. This shift, from AI as assistant to AI as autonomous economic actor, represents one of the most significant innovations in how organisations operate, compete, and create value. Yet this innovation is outpacing governance. As AI agents increasingly interact with each other rather than with people, organisations are deploying autonomous systems without fully understanding when those systems should act independently, when they should defer, and when they should escalate to human oversight. Without answers to these questions, the promise of AI-driven innovation carries substantial and poorly managed risk.
ER  -