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<p>Global supply networks increasingly struggle to identify where sustainability inefficiencies originate and how they propagate across interconnected supply chain tiers. This study integrates Figge and Hahn’s (2004a) Sustainable Value method, which quantifies sustainability performance based on opportunity-cost-adjusted resource efficiency—with connectivity analysis to evaluate sustainability across supply network layers. We propose a novel index combining SV computation with graph-theoretic measures (network range, strength, efficiency) to map how indicators (e.g., water use, labor practices) propagate between suppliers, producers, and distributors. A case study in the fisheries industry demonstrates the framework’s efficacy, revealing a sustainability ratio of 1.9 and layer-specific efficiencies of 3.03% (social), 3.00% (economic), and 3.39% (environmental). Network analysis identifies critical leverage points, such as recycled material flows in production layers (strength = 40) and water resource mismanagement (− 20.47 lost value). The results enable targeted resource reallocation and dynamic policy adjustments (e.g., penalizing water overuse in drought-prone regions). In this framework, Sustainable Value is first computed at the indicator level and subsequently embedded into a connectivity-based network analysis to reveal cross-tier propagation, leverage points, and systemic sustainability risks that cannot be identified through SV alone. The framework is scalable across industries with multi-tier supply structures, as it relies on indicator-level SV computation and network metrics that can be parameterized using sector-specific data, enabling regulators and managers to prioritize interventions based on measurable cross-tier sustainability impacts.</p>

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Integrated Sustainable Value and Connectivity Analysis for Supply Network Sustainability Evaluation

  • 期刊论文

  • 发表日期：

    2026年3月20日

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  • Hamed Fazlollahtabar

摘要

Global supply networks increasingly struggle to identify where sustainability inefficiencies originate and how they propagate across interconnected supply chain tiers. This study integrates Figge and Hahn’s (2004a) Sustainable Value method, which quantifies sustainability performance based on opportunity-cost-adjusted resource efficiency—with connectivity analysis to evaluate sustainability across supply network layers. We propose a novel index combining SV computation with graph-theoretic measures (network range, strength, efficiency) to map how indicators (e.g., water use, labor practices) propagate between suppliers, producers, and distributors. A case study in the fisheries industry demonstrates the framework’s efficacy, revealing a sustainability ratio of 1.9 and layer-specific efficiencies of 3.03% (social), 3.00% (economic), and 3.39% (environmental). Network analysis identifies critical leverage points, such as recycled material flows in production layers (strength = 40) and water resource mismanagement (− 20.47 lost value). The results enable targeted resource reallocation and dynamic policy adjustments (e.g., penalizing water overuse in drought-prone regions). In this framework, Sustainable Value is first computed at the indicator level and subsequently embedded into a connectivity-based network analysis to reveal cross-tier propagation, leverage points, and systemic sustainability risks that cannot be identified through SV alone. The framework is scalable across industries with multi-tier supply structures, as it relies on indicator-level SV computation and network metrics that can be parameterized using sector-specific data, enabling regulators and managers to prioritize interventions based on measurable cross-tier sustainability impacts.