Agriculture Supply Chain Risks in Emerging Economies: Antecedents of Risk Prioritization Model
采用德尔菲法和DEMATEL方法，识别并优先排序了新兴经济体农业供应链中的15个关键风险，特别是易腐商品相关风险，为从业者提供了风险管理策略。
ABSTRACT The agricultural supply chain (ASC), a complex network of functions, necessitates exploratory research to identify the risks encountered during the pandemic by correlating them with theoretical and practical frameworks. This domain requires a novel perspective on managing such risks. The current study analyzes risk factors within the ASC and their interactive dynamics to propose a strategic approach to risk prioritization. Employing a mixed‐methods approach, the study sequentially applied qualitative Delphi methodology and quantitative DEMATEL classification techniques to prioritize these risks. The study identified 15 significant supply chain risks, primarily concerning perishable commodities, and examined their interconnected dynamics. The primary respondents included practitioners, farmers, distributors, processing industries, and logistics providers. The findings and discussions facilitate the development of risk management techniques and support the adoption of alternative strategies for mitigating ASC risks.