نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه سمنان، سمنان، ایران
2 دانشکده بازرگانی رن، فرانسه، دانشگاه لینشوپینگ، سوئد
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
In recent years, the agri-food value chain has received increased attention due to population growth and the importance of food issues. Therefore, it is important to examine all components that positively affect the performance of the chain. Accordingly, this study aims to investigate the causal relationships of factors related to interactions between farmers and factories by presenting a causal model of these factors. In the first step, factors related to the relationships between farmers and factories were identified and extracted through literature review. Then, these factors were validated by experts using the fuzzy Delphi method, and 19 factors, including behavioral and performance factors, were considered as inputs for the fuzzy DEMATEL method, and a causal model for these factors was drawn. The statistical sample includes 25 experts in the field of agriculture and food industries, selected by the snowball sampling method. The results showed that the factors of relationship quality, behavioral uncertainty of farmers and factories, and supply chain balance had the highest impact compared to other factors. Among the factors, the highest interaction belonged to the "relationship quality" factor, and among the 19 factors, 9 were classified as causes and 10 as effects. The agri-food value chain consists of various members, and if each member only considers increasing their profit and reducing their loss, the quality of relationships decreases and conflicts among members increase.
کلیدواژهها [English]
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