Transforming automotive supply chains for sustainability: Insights from a soft systems analysis
持続可能性のための自動車サプライチェーン変革：ソフトシステム分析からの洞察 (AI 翻訳)
Mohammad Milad Ahmadi
🤖 gxceed AI 要約
日本語
本研究は、ソフトシステムズ手法を用いてイランの自動車サプライチェーンの持続可能性課題を診断し、経済・環境・社会・技術・経営の相互関連性を分析。ブロックチェーンによるトレーサビリティ、水リサイクル、サプライヤー多様化、デジタル統合などの介入領域を特定。実践的提言を提示している。
English
This study uses Soft Systems Methodology to diagnose sustainability challenges in Iran's automotive supply chain, analyzing economic, environmental, social, technological, and managerial interdependencies. It identifies intervention areas including blockchain traceability, water recycling, supplier diversification, and digital integration, offering actionable recommendations for policymakers and industry managers.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
イラン特有の研究だが、新興市場における自動車サプライチェーンの持続可能性課題は、グローバル展開する日本企業にとってもサプライチェーン強靭性の観点から参考になる可能性がある。
In the global GX context
While focused on Iran, this study offers valuable insights into sustainability challenges in emerging-market automotive supply chains, with lessons on supplier diversification, digital integration, and governance that are relevant for global supply chain resilience.
👥 読者別の含意
🔬研究者:Demonstrates application of soft systems methodology to sustainable supply chain analysis in a politically constrained context.
🏢実務担当者:Provides actionable strategies such as supplier diversification and digital platform implementation to improve supply chain sustainability.
🏛政策担当者:Highlights regulatory and governance interventions needed to support green technology adoption and supply chain resilience in emerging economies.
📄 Abstract（原文）
This study diagnoses the systemic sustainability challenges in Iran's national automotive supply chain using Soft Systems Methodology to analyze the interrelated economic, environmental, social, technological, and managerial dimensions. The goal is to develop a conceptual model that reflects these complexities, validate it with real-world case data, and propose practical and desirable changes to improve sustainable supply chain management practices. The research addresses a critical gap in sustainability strategies for emerging markets with structurally constrained and politically sensitive industrial ecosystems. The study adopts an integrated approach combining systemic methodology and thematic analysis, utilizing semi-structured interviews with senior automotive industry experts and a targeted literature review. Rich pictures, conceptual modeling, and iterative validation ensured alignment between systemic challenges and practical realities, with data coded to identify barriers and enablers across the supply chain. Comparing conceptual and real-world models revealed key areas for intervention, including blockchain-enabled traceability, water recycling, supplier diversification, and digital integration to enhance sustainability. Findings highlight issues such as reliance on foreign suppliers, currency volatility, limited domestic manufacturing capacity, inefficient logistics, weak governance, and slow adoption of green technologies. Environmental concerns include water scarcity, inadequate vehicle scrappage systems, and high emissions from diesel transport. The study provides actionable recommendations for policymakers and industry managers, such as diversifying suppliers, implementing digital platforms, and introducing transparent governance. These measures can improve efficiency, reduce environmental impact, and increase resilience against political and economic disruptions. The research also offers future research needed to test the proposed interventions and explore policy frameworks for large-scale adoption.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.5267/j.uscm.2025.9.003first seen 2026-06-23 06:20:21
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