The coronavirus pandemic (COVID-19) has affected all supply chains through severe disruption of logistics activities, production, and markets. This study aimed to survey the impact of the coronavirus on the poultry supply chain using an exploratory sequential mixed design. We first addressed those stages of the poultry supply chain disrupted in an ongoing pandemic, and then elaborated particular disturbances associated with each stage. This study was based on data collected from Iranian poultry industry owners and experts who had sufficient experience in agricultural supply chains as well. As the qualitative phase, the content analysis was conducted to identify the impacts of the coronavirus on the poultry supply chain. The results and conclusions that emerged from the qualitative phase were refined and weighted by the Fuzzy Delphi Method (FDM) and the Fuzzy Analytic Hierarchy Process (FAHP) respectively, in the quantitative phase. The results suggested that the pandemic has further affected the input supply as a stage in the poultry supply chain. This is probably because of the fact that the poultry industry is heavily dependent on inputs' flow. In addition, supply chain governance was seriously impaired due to the persistence of the pandemic. The coronavirus pandemic has significantly affected the stages that are most reliant on transportation. Finally, we found that a part of the disruptions that occur in the downstream of the supply chain is due to the epidemic's direct adverse effects, and another part is due to indirect consequences received from the upstream. Our findings and implications can be useful in decision-making procedures during ongoing epidemics.

This research aimed to study behavioral intention toward genetically modified crop (GMC) technology. The statistical population was composed of all staff experts of Jihad-e Agriculture Organization of Iran (N = 837). The sample size was 310 agricultural experts taken by simple randomization. The data collection tool was a questionnaire. Data were analyzed by structural equations modeling. The results provided enough evidence to confirm the negative and significant effect of ethical concerns on behavioral intention toward GMC technology and the positive and significant effect of attitude toward technology and social impact on behavioral intention. According to the results, it is necessary to hold training courses inside and outside the country, adopt bottom-up management, use experienced and prospective managers, involve experts in planning and development of GMCs to a greater extent, and share personal experiences in training courses to change people’ attitude.