Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges. To inform the development of H4Cs, this study conducts a systematic literature review (SLR) of circular business models (CBMs) as implemented in industrial symbiosis (IS) networks, eco‐industrial parks (EIPs) and closed‐loop supply chains—contexts where CBMs have been actively studied and deployed. We synthesise insights on value creation strategies, stakeholder roles, digital technologies and financial mechanisms in these existing settings. Particular focus is given to the role of artificial intelligence (AI) and digitalisation in supporting operational efficiency, risk reduction and financial decision‐making. Findings identify a set of enabling conditions and technological levers that can guide the financial and business model design of H4Cs. This study also proposes a value creation framework and a four‐phase transition pathway that support future implementation of H4Cs through informed application of AI‐enhanced circular strategies.