An Intuitionistic fuzzy cognitive mapping approach for blockchain-driven decision support in sustainable construction supply chains

This study examines how blockchain technology (BT) enhances sustainability and resilience in construction supply chains (CSCs). Recognizing the sector's vulnerability to disruptions and inefficiencies, the research aims to identify key blockchain facilitators (BTFs) that enhance environmental, economic, and risk-related performance metrics. Using an integrated multi-criteria decision-making methodology based on intuitionistic fuzzy cognitive maps and an active Hebbian learning algorithm, causal relationships between BTFs and sustainability indicators are modeled and analyzed. Data is collected from ten experts through structured interviews and surveys, ensuring methodological rigor via sensitivity and consistency analyses. Results reveal that transparency, traceability, and smart contracts are the most influential facilitators, significantly improving environmental impact, stakeholder collaboration, and economic efficiency within CSCs. Decentralized and secure databases also emerged as critical enablers of resilience and cost reduction. Simulation results demonstrate that full-scale adoption of BT can improve sustainability performance by up to 35%, whereas partial adoption yields limited benefits. The study presents a novel decision-support framework for prioritizing BT facilitators, offering actionable insights for managers, policymakers, and construction firms seeking digital transformation and sustainable development. Overall, this research advances the understanding of BT's strategic role in construction supply chains and offers a practical roadmap for its effective implementation.