Abstract:

The study aim is to analyse the risks associated with integrating artificial intelligence (AI) as a key enabler towards a green supply chain of small and medium-sized enterprises (SMEs) in the UK construction industry. This study examines the integration of artificial intelligence (AI) into green construction supply chains, positioning AI as both a sustainability enabler and a source of emergent risk. While prior research has focused on AI adoption drivers and performance benefits, limited attention has been given to governance and risk challenges faced by small and medium-sized enterprises (SMEs) within fragmented, project-based construction networks. Addressing this gap, the study develops a multi-level risk framework for AI-enabled green supply chains in the UK construction sector. Drawing on the Circular Economy perspective, the Technology-Organisation-Environment (TOE) framework, and Stakeholder Theory, AI-related risk is conceptualised as a mediating governance construct influencing sustainability outcomes. Using a sequential exploratory mixed-methods design, qualitative interviews identify context-specific AI risks, followed by quantitative analysis assessing their severity and performance impact. The study aims to advance theory on digital sustainability transformation and provide practical guidance for structured AI risk governance aligned with UK Net Zero and Sustainable Development Goals 9, 11, and 12.

Please choose your submission type: Developmental Paper

Primary Track: Sustainable and Responsible Business

Keywords: responsible business;mixed method;survey;interviews

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Dr. Piyumika Gamage