Food systems include dynamic and complex networks made up of all the actors, processes, and infrastructures, as well as their interactions. Because of the growing supply chain's (SC) vulnerability, fragility, and operational disturbances, managing disruptions has become a crucial problem in the food SC. Thus, companies aim to improve their resilience to deal with unexpected conditions. Thus, this study aims to analyze and frame the food SC's resilience, sustainability, and smartness considering different causal conditions (e.g., digital technology adaption, providing traceability, and enhancing collaboration). This study also analyzes the numerous and complex linkages between outcome and causal variables. Thus, this study includes data on the food industry operating in Turkey. The Fuzzy Set Qualitative Comparative Analysis has been used to analyze different companies' data. SC resilience performance conditions have been determined and analyzed. According to the result of this study, it can be said that enhanced flexibility structure and adaptability skills in the SC, increased IT capability, and integration of digital technologies into the SC process are the key components for achieving high SC resilience, sustainability, and smartness in the food SCs. This study suggests various implications for policymakers and managers in the food SCs.

中文翻译：

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破坏性事件背景下的智能、可持续和有弹性的食品供应链


粮食系统包括由所有参与者、流程和基础设施及其相互作用组成的动态且复杂的网络。由于供应链 (SC) 的脆弱性、脆弱性和运营干扰日益严重，管理中断已成为食品供应链中的一个关键问题。因此，公司的目标是提高应对意外情况的弹性。因此，本研究旨在考虑不同的因果条件（例如数字技术适应、提供可追溯性和加强协作），分析和构建食品供应链的弹性、可持续性和智能性。这项研究还分析了结果变量和因果变量之间众多且复杂的联系。因此，本研究包括土耳其食品行业的数据。模糊集定性比较分析已用于分析不同公司的数据。 SC 弹性性能条件已确定并分析。根据本研究的结果，可以说，增强供应链的灵活性结构和适应性技能、提高IT能力以及将数字技术融入供应链流程是实现供应链高弹性、可持续性和智能性的关键组成部分在食品 SC 中。这项研究对食品供应链的政策制定者和管理者提出了各种影响。