Examines algorithmic governance, auditability, and regulatory compliance under the EU AI Act within commercial banks and asset management organizations. We evaluate risk management structures and identify key vulnerabilities in third-party model dependency.
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1. Institutional Background and SME Asymmetries
Small and medium-sized enterprises constitute over 98% of business enterprises within Northern European industrial supply chains and account for more than 60% of manufacturing value added. However, academic frameworks regarding circular business models (CBMs) have predominantly derived empirical grounding from diversified multinational enterprises.
Unlike global conglomerates equipped with dedicated sustainability accounting divisions, SMEs face structural barriers including high initial capital expenditure requirements, scarce access to reverse supply chain infrastructure, and uncertain residual asset valuation under conventional bank lending covenants.
2. Empirical Field Audit Methodology
To overcome self-reporting biases prevalent in cross-sectional survey research, this inquiry executed 18 longitudinal on-site facility audits across automated manufacturing plants in Sweden, Denmark, and Finland. Primary observations focused on material sorting throughput, closed-loop polymer recycling yields, and energy consumption metrics during reverse assembly runs.
