Food businesses, especially those facing supply chain challenges, operate within a global environment characterized by uncertainty. The effects of the COVID-19 pandemic have underscored substantial losses in this sector. Our study aims to develop a mixed-formative-reflexive construct model that evaluates the impact of relational practices and resilience on the performance of enterprises within the Romanian food chain during crises. To select the sample, we employed a proportional stratified sampling method. The survey design included establishing the demographic profile of respondents, constructing items, and identifying latent variables specific to the proposed construct model. Data collection was conducted through an online questionnaire, resulting in 298 valid responses and a response rate of 35.06 %. Hypothesis testing and validation of the proposed construct model were performed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method. The research findings indicate that 56.9 % of the variance in food supply chain resilience can be attributed to the combined effects of proactive, reactive, and network design capabilities. The practical implications of the research suggest a need to reconsider planning strategies during crises. This involves reassessing risks, designing or redesigning products, and improving communication and collaboration with customers, suppliers, and other stakeholders. Therefore, enhancing relational practices and resilience can significantly and directly improve the performance of the food supply chain.

中文翻译：

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模拟弹性因素和关系实践对供应链绩效的影响


食品企业，特别是那些面临供应链挑战的企业，在充满不确定性的全球环境中运营。 COVID-19 大流行的影响凸显了该行业的巨大损失。我们的研究旨在开发一种混合形成性反射构建模型，用于评估危机期间关系实践和复原力对罗马尼亚食物链内企业绩效的影响。为了选择样本，我们采用了比例分层抽样方法。调查设计包括建立受访者的人口统计资料、构建项目以及识别特定于所提出的构建模型的潜在变量。通过网络问卷收集数据，有效回复298份，有效率为35.06%。使用偏最小二乘结构方程模型（PLS-SEM）方法对所提出的构造模型进行假设检验和验证。研究结果表明，食品供应链弹性的差异有 56.9% 可归因于主动、被动和网络设计能力的综合影响。该研究的实际意义表明，有必要重新考虑危机期间的规划策略。这包括重新评估风险、设计或重新设计产品，以及改善与客户、供应商和其他利益相关者的沟通和协作。因此，增强关系实践和复原力可以显着、直接地改善食品供应链的绩效。