Predicting the effects of supply chain resilience and robustness on COVID-19 impacts and performance: Empirical investigation through resources orchestration perspective.

This study investigates the effects of supply chain (SCRE) and robustness (SCRO) on COVID-19 super disruption impacts and firm's financial performance by mobilizing the resources orchestration theory (ROT) as the main theoretical framework. We adopt structural equation modeling analysis of data collected from 289 French companies. The findings reveal the significantly positive influence of resources orchestration on SCRE and SCRO and the role of the latter in mitigating the pandemic disruption impacts.

Consumer Attitude towards Genetically Modified Foods in Iran: Application of Three-Dimensional Model of Corporate Social Responsibility.

Although GM food production is considered an important strategy to meet the growing food needs of the population around the world, a majority of the GM food consumers express doubts about purchasing and eating them. However, it can be argued that consumers have different opinions about GM foods and their influence on human health and the natural environment. GM food producer Corporate Social Responsibility (CSR) may significantly affect such opinions, but the effect of this variable has been partially neglected in previous research studies.

Transition to a sustainable food supply chain during disruptions: A study on the Brazilian food companies in the Covid-19 era.

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.