Circular-AI symbiosis: Exploring the integration of AI in entrepreneurship to advance the circular economy ecosystem

This study explores the integration of AI in sustainable entrepreneurship, focusing on its role in advancing circular economy initiatives. It introduces the “Circular-AI Symbiosis” conceptual framework, which examines the symbiotic relationship between AI technology and circular economy principles. This paradigm highlights how AI can drive circular innovation by enhancing resource efficiency, optimizing product lifecycle management, and fostering sustainable business practices through data analytics, predictive modeling, and network optimization. The framework centers on three core components: technological integration, business model development, and collaborative networks. By integrating these elements, circular-AI symbiosis offers a comprehensive approach to understanding how AI can support sustainable entrepreneurship within a circular economy context. The study also addresses key challenges in integrating AI into circular economy practices and emphasizes the role of collaborative networks in overcoming these obstacles. This research contributes to the conceptual understanding of the intersection of AI, entrepreneurship, and sustainability.

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Publication Details

Journal
The International Journal of Entrepreneurship and Innovation
Published
2025-11-11
DOI
https://doi.org/10.1177/14657503251393545
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Circular-AI symbiosis: Exploring the integration of AI in entrepreneurship to advance the circular economy ecosystem

Mohsen Khezri, Abdullahi Adamu Sulaiman
The International Journal of Entrepreneurship and Innovation
Sustainable Supply Chain Management
article

Circular-AI symbiosis: Exploring the integration of AI in entrepreneurship to advance the circular economy ecosystem

Mohsen Khezri, Abdullahi Adamu Sulaiman
article en

Abstract

This study explores the integration of AI in sustainable entrepreneurship, focusing on its role in advancing circular economy initiatives. It introduces the “Circular-AI Symbiosis” conceptual framework, which examines the symbiotic relationship between AI technology and circular economy principles. This paradigm highlights how AI can drive circular innovation by enhancing resource efficiency, optimizing product lifecycle management, and fostering sustainable business practices through data analytics, predictive modeling, and network optimization. The framework centers on three core components: technological integration, business model development, and collaborative networks. By integrating these elements, circular-AI symbiosis offers a comprehensive approach to understanding how AI can support sustainable entrepreneurship within a circular economy context. The study also addresses key challenges in integrating AI into circular economy practices and emphasizes the role of collaborative networks in overcoming these obstacles. This research contributes to the conceptual understanding of the intersection of AI, entrepreneurship, and sustainability.

The International Journal of Entrepreneurship and Innovation
University of Kurdistan Hewler (IQ), London School of Economics and Political Science (GB)
Openalex Percentile: Top 51%
Sustainable Supply Chain Management
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