Modern Research in Decision Making

Identifying and prioritizing key components of smart supply chain resilience with a multi-criteria approach based on new artificial intelligence and blockchain technologies

Document Type : Original Article

Authors

hamid Tabli 1
jamshid ebrahimpuor samani 2

1 Associate Professor of Public Administration, Payam Noor University, Tehran, Iran

2 Assistant Professor, Department of Management, Payam Noor University, Tehran, Iran

Abstract
In the face of growing complexities and continuous instabilities across supply chains, intelligent decision-making and enhanced organizational resilience have become indispensable. The purpose of this study is to develop an intelligent framework for strengthening supply chain resilience by leveraging emerging technologies, particularly artificial intelligence and blockchain. This research adopts a mixed-method approach. In the first phase, a systematic literature review was conducted on 63 studies published between 2015 and mid-2025 in Scopus and Web of Science databases, from which 34 relevant papers were selected after screening. Subsequently, thematic analysis was performed using MAXQDA 2022 to extract key components and develop the initial conceptual framework. To localize and validate the findings, semi-structured interviews were conducted with 20 experts in the field of smart supply chains, and the results were re-analyzed through thematic analysis. In the quantitative phase, the fuzzy Delphi method was employed for criteria screening, while the fuzzy DEMATEL technique and fuzzy ANP were utilized to determine causal relationships, influence levels, and criteria weights. The findings reveal that emerging technologies significantly enhance supply chain resilience by improving information transparency, accelerating decision-making, and strengthening predictive capabilities. “Supply chain digitalization,” “smart agricultural economy,” and “institutional policymaking” were identified as the key drivers, whereas “technological collaboration” and “process automation” exerted the greatest influence on system adaptability and recoverability. Overall, the results provide an intelligent roadmap for decision-making under uncertainty and for developing technological capacities within supply chains.

Keywords

Keywords: Resilience
Multi-Criteria Decision Making
Smart Supply Chain
Blockchain Technology
Artificial Intelligence
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