可追溯性
供应链
农业
产品(数学)
质量(理念)
业务
透明度(行为)
供应链管理
环境经济学
营销
计算机科学
经济
计算机安全
数学
生态学
哲学
几何学
软件工程
认识论
生物
作者
Xiaofei Li,Jianguo Du,Wen Li,Fakhar Shahzad
标识
DOI:10.1016/j.jclepro.2023.138397
摘要
The quality and safety traceability in the supply chain of agricultural products can tackle low safety and poor transparency and improve consumer buying experiences. Despite consumer green ambitions, agricultural product quality and safety traceability are still lacking. The commercial development concept of the entire agricultural product industrial chain under "Internet + agriculture" is combined with consumers' green expectations. Using Python programming, the text data from web pages are analyzed to obtain and construct the Latent Dirichlet Allocation (LDA) model. The paper identifies the factors influencing the quality and safety traceability of the agricultural product industrial chain under consumers' green demands, improving the existing traceability model. Finally, the study suggests feasible recommendations, including simplifying product packaging, increasing the number of local dealers and sales in the local market, and timely updating authentic and reliable information in the traceability system.
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