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Study of the Game Model of E-Commerce Information Sharing in an Agricultural Product Supply Chain based on fuzzy big data and LSGDM

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  • ming, Luo
  • GuoHua, Zhou
  • Wei, Wei

Abstract

Information asymmetry is the root of agricultural product quality problems. Generally speaking, the common problems related to agricultural products are solved by effective supply chain management. From the perspective of agricultural supply chain management, this paper analyzes the shortcomings of the traditional supply chain management process by using fuzzy big data and LSGDM (Large scale group decision making), and puts forward a new method of supply chain management. In addition, from the perspective of asymmetric information sharing regarding agricultural products, an asymmetric information sharing model for agricultural products based on the evolutionary rule theory is established. Combined with fuzzy big data and LSGDM, this paper puts forward the hypothesis of each variable in the process of the information sharing game. On this basis, a mathematical model of the "pool equilibrium" of the high and low prices in the agricultural products market is put forward. Finally, a case study of products of different quality in the sea cucumber market is carried out. The results show that high quality sea cucumber products occupy a large market share in the supply chain of agricultural products. The research of this paper is of great significance, because it can increase the reliable theoretical data available for the research of the agricultural supply chain.

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  • ming, Luo & GuoHua, Zhou & Wei, Wei, 2021. "Study of the Game Model of E-Commerce Information Sharing in an Agricultural Product Supply Chain based on fuzzy big data and LSGDM," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    • Handle: RePEc:eee:tefoso:v:172:y:2021:i:c:s0040162521004492
    DOI: 10.1016/j.techfore.2021.121017
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    2. Jian Li & Xin Yan & Yongwu Li & Xuefan Dong, 2023. "Optimizing the Agricultural Supply Chain through E-Commerce: A Case Study of Tudouec in Inner Mongolia, China," IJERPH, MDPI, vol. 20(5), pages 1-19, February.
    3. Yusuf Enril Fathurrohman & Anis Syafira & Rutri Wahidiana, 2022. "Segmentation, Targeting, And Marketing Mix Strategies Of Palm Sugar Industries In Banyumas Regency, Indonesia," Food & Agribusiness Management (FABM), Zibeline International Publishing, vol. 3(1), pages 01-04, January.
    4. Jinwu Gao & Zhuolin Cui & Huijie Li & Ruru Jia, 2023. "Optimization and Coordination of the Fresh Agricultural Product Supply Chain Considering the Freshness-Keeping Effort and Information Sharing," Mathematics, MDPI, vol. 11(8), pages 1-25, April.
    5. Kexiao Xie & Dongkai Lin & Weihan Zhu & Yongqiang Ma & Jiaxiong Qiu & Youcheng Chen & Zhidan Chen, 2023. "Analysis of Influencing Factors on the Willingness and Behavioral Consistency of Chinese Consumers to Purchase Tea via E-Commerce Platforms," Agriculture, MDPI, vol. 13(10), pages 1-17, September.

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