首页|考虑保鲜努力的生鲜农产品供应链运作绩效比较:基于O2O集聚VS.传统电商

考虑保鲜努力的生鲜农产品供应链运作绩效比较:基于O2O集聚VS.传统电商

扫码查看
针对传统电商中生鲜农产品供应链运作绩效不理想的现状,提出基于O2O集聚的新型生鲜电商供应链模式.在构建生鲜农产品新鲜度衰退函数基础上,为集聚模式设计考虑保鲜努力和线下体验水平的供应链决策模型,进而与基于时变效用函数的传统电商决策模型展开对比.结果表明:无论是集中决策还是分散决策,集聚模式下的生鲜农产品价格、销售量、保鲜努力水平、供应链全利润均会表现更优.数值算例结果验证了理论分析结论,也进一步证明了新鲜度敏感系数、新鲜度衰减系数和线下体验水平系数正向作用集聚模式下的供应链运作绩效优势,价格敏感系数和集聚发起人提成却表现出负向影响.基于研究发现,从供给侧为优化生鲜农产品电商供应链提供了相应的策略参考.
Operational Performance Comparison of Agro-food Supply Chains Considering Fresh-keeping Efforts:Agglomeration Model Based on O2O Commerce vs.Traditional E-commerce
Considering that the current operational performance of agro-food supply chains is poor,this paper proposes an agglomeration model based on O2O e-commerce.On the basis of a freshness decline function,a supply chain decision model considering fresh-keeping efforts and offline experience level is constructed for the agglomeration model and then is compared with the traditional e-commerce deci-sion model based on time-varying customer utility function.The results show that the agglomeration model has a better performance than the traditional e-commerce model in terms of selling price,sales volume,fresh-keeping effort and overall profit.If the freshness declines rapidly and consumers are sensitive to the freshness or offline experience,the performance advantage of the agglomeration supply chain will increase.On the contrary,if consumers are sensitive to the price of fresh agricultural products,or the promoters ask for higher com-missions,the performance advantage will decrease.Further,the numerical simulation results prove our theoretical results.In the end,some suggestions for platform enterprises,farms and other stakeholders are proposed to develop more efficient agro-food supply chains.

fresh agro-foodfresh-keeping effortssupply chain performanceO2Otraditional e-commerce

张新香、张子颖

展开 >

中南财经政法大学信息工程学院,武汉 430073

浙江大学管理学院,杭州 310058

生鲜农产品 保鲜努力 供应链绩效 O2O 传统电商

教育部人文社会科学研究规划基金国家社会科学基金中央高校基本科研业务费专项中南财经政法大学项目

23YJAZH20416BGL1922722022EK069

2024

管理评论
中国科学院研究生院

管理评论

CSTPCDCSSCICHSSCD北大核心
影响因子:1.801
ISSN:1003-1952
年,卷(期):2024.36(4)
  • 13