The purpose of this research is to establish the necessary and sufficient conditions for food safety and security during pandemic outbreaks, focusing on the case of COVID-19 to ensure resilience of the food supply chain. The study emphasises on the complexity theory of fuzzy set Qualitative Comparative Analysis (fsQCA), to establish a result-driven definition of Industry 5.0 (I5.0) during and post pandemics. The results of this study revealed that a combination of conditions derived from pandemic policy related reforms and I5.0 enablers will assist manufacturers and suppliers in establishing food safety and security during and post the COVID-19 era in a developing economy. Food safety and security being the goal, based on a survey of 140 food companies, this study provides insights to manufacturers and policymakers to enable selective implementation of I5.0 enabling technologies and pandemic policies.

本研究的目的是为大流行病爆发期间的食品安全和保障建立必要和充分的条件，重点关注 COVID-19 的案例，以确保食品供应链的弹性。该研究强调模糊集定性比较分析 (fsQCA) 的复杂性理论，以在大流行期间和之后对工业 5.0 (I5.0) 建立结果驱动的定义。这项研究的结果表明，大流行病政策相关改革和 I5.0 推动因素所产生的条件相结合，将有助于制造商和供应商在发展中经济体的 COVID-19 时代和之后建立食品安全和保障。这项研究以食品安全和保障为目标，基于对 140 家食品公司的调查，为制造商和政策制定者提供了见解，以便有选择地实施 I5.0 支持技术和流行病政策。