The COVID-19 pandemic has brought negative impacts to global supply chains, in particular to the agricultural sector. Although these companies have been developing programs to mitigate the impacts caused by COVID-19, researchers have been worried about a possible weakening of the adoption of sustainable initiatives due to a focus on dealing with the consequences of the pandemic. Grounded on the Resource Orchestration Theory, the goal of this study was to assess the effects of the COVID-19 outbreak on sustainable (environmental, social, and economic) performance in the context of agri-food supply chains. To do so, a questionnaire survey was used to collect data from 349 different medium and large agri-food companies in Brazil. Data were analyzed using Structural Equation Modeling-Partial Least Squares technique. This study has found out that, under the impacts arising from COVID-19 pandemic (1) supply management and transportation and logistics management had a positive impact on food supply chains' sustainable performance; (2) the effects of relationship management and supply chain wide impact management were found to be negative on sustainable performance; and (3) the effects of demand and production management on sustainable performance were not considered significant. We propose a framework that clearly represents the relationship between the disrupted supply chain areas and sustainable performance through the development of orchestration capabilities. By knowing which kinds of impacts produce the most significant effects on sustainable performance, policy makers and managers will be able to make de-cisions and take actions to avoid negative effects and to improve firms' sustainable performance.
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Imam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi ArabiaImam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi Arabia
Alsuwailem, Alhanouf Abdulrahman
Salem, Emad
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Inst Publ Adm, Dept Stat, Riyadh 11141, Saudi ArabiaImam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi Arabia
Salem, Emad
Saudagar, Abdul Khader Jilani
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Imam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi ArabiaImam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi Arabia
Saudagar, Abdul Khader Jilani
AlTameem, Abdullah
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Imam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi ArabiaImam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi Arabia
AlTameem, Abdullah
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AlKhathami, Mohammed
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Khan, Muhammad Badruddin
Hasanat, Mozaherul Hoque Abul
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Imam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi ArabiaImam Mohammad Ibn Saud Islamic Univ IMSIU, Dept Informat Syst, Coll Comp & Informat Sci, Riyadh 11432, Saudi Arabia
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Univ Vale Rio dos Sinos UNISINOS, Polytech Sch, Sao Leopoldo, BrazilUniv Vale Rio dos Sinos UNISINOS, Polytech Sch, Sao Leopoldo, Brazil
Pohlmann, Christopher Rosa
Scavarda, Annibal Jose
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Fed Univ State Rio de Janeiro UNIRIO, Prod Engn Sch, Rio De Janeiro, BrazilUniv Vale Rio dos Sinos UNISINOS, Polytech Sch, Sao Leopoldo, Brazil
Scavarda, Annibal Jose
Alves, Murilo Barros
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Univ Vale Rio dos Sinos UNISINOS, Polytech Sch, Sao Leopoldo, BrazilUniv Vale Rio dos Sinos UNISINOS, Polytech Sch, Sao Leopoldo, Brazil
Alves, Murilo Barros
Korzenowski, Andre Luis
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Univ Vale Rio dos Sinos UNISINOS, Polytech Sch, Sao Leopoldo, Brazil
Univ Vale Rio dos Sinos UNISINOS, Sch Business, Porto Alegre, RS, BrazilUniv Vale Rio dos Sinos UNISINOS, Polytech Sch, Sao Leopoldo, Brazil