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Risk assessment and control of agricultural supply chains under Internet of Things

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  • Bo Yan
  • Xinni Wang
  • Ping Shi

Abstract

The Internet of Things (IoT) has enhanced the value of agricultural supply chains and reduced traditional risks. However, new risks to the agricultural supply chain have emerged in the IoT era. The risks in the agricultural supply chain under IoT, including risks related to perception, network, and application layers, are summarised in this paper. The ordered weighted averaging operator is utilised to quantitatively evaluate and sort these risks. Subsequently, the supply chain risk diffusion convergence model is used to identify the quantitative indicators that can measure risk fluctuations in the agricultural supply chain according to the risk assessment results. Finally, measures for risk management are proposed according to the results derived through the quantitative model for the agricultural supply chain under IoT.

Suggested Citation

  • Bo Yan & Xinni Wang & Ping Shi, 2017. "Risk assessment and control of agricultural supply chains under Internet of Things," Agrekon, Taylor & Francis Journals, vol. 56(1), pages 1-12, January.
    • Handle: RePEc:taf:ragrxx:v:56:y:2017:i:1:p:1-12
    DOI: 10.1080/03031853.2017.1284680
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    Cited by:

    1. Sanjeev Yadav & Sunil Luthra & Dixit Garg, 2022. "Internet of things (IoT) based coordination system in Agri-food supply chain: development of an efficient framework using DEMATEL-ISM," Operations Management Research, Springer, vol. 15(1), pages 1-27, June.
    2. Fujia Li & Kexin Guo & Xiaoyong Liao, 2022. "Risk Assessment of China Rapeseed Supply Chain and Policy Suggestions," IJERPH, MDPI, vol. 20(1), pages 1-14, December.

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