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Achieving Food Supply Chain Resilience during Natural Disasters through Industry 5.0 enablers - Empirical insights based on an FsQCA approach
Mandal, S. Kar, K.A. Gupta, S.
Mandal, S.
Kar, K.A.
Gupta, S.
Publication Date
2023-10-21
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(c) 2023 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0/)
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2023-10-05
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Abstract
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.
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Citation
Mandal S, Kar KA, Gupta S et al (2023) Achieving Food Supply Chain Resilience during Natural Disasters through Industry 5.0 enablers - Empirical insights based on an FsQCA approach. Information Systems Frontiers.
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Article