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Big Data's Potential to Improve Food Supply Chain Environmental Sustainability and Food Safety

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  • Ahearn, Mary Clare
  • Armbruster, Walt
  • Young, Robert

Abstract

Big data is emerging as an important information technology to guide decisions within agri-food supply chains. Big data can be used potentially to differentiate and identify final products based on underlying farm production attributes demanded by consumers in the supply chain. This paper considers the challenges faced by the supply chain in responding to consumer demands and adoption of big data technologies in agricultural production through closer evaluation of two examples—one of which considers the use of a sustainability metric and the other considers the potential to increase food safety. We conclude with some comments about likely future issues and implications of the potential widespread adoption of big data.

Suggested Citation

  • Ahearn, Mary Clare & Armbruster, Walt & Young, Robert, 2016. "Big Data's Potential to Improve Food Supply Chain Environmental Sustainability and Food Safety," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(A), pages 1-18, June.
    • Handle: RePEc:ags:ifaamr:240704
    DOI: 10.22004/ag.econ.240704
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    Cited by:

    1. Yanan Yu & Yong He & Xuan Zhao & Li Zhou, 2022. "Certify or not? An analysis of organic food supply chain with competing suppliers," Annals of Operations Research, Springer, vol. 314(2), pages 645-675, July.
    2. Yotsaphat Kittichotsatsawat & Varattaya Jangkrajarng & Korrakot Yaibuathet Tippayawong, 2021. "Enhancing Coffee Supply Chain towards Sustainable Growth with Big Data and Modern Agricultural Technologies," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    3. Abbate, Stefano & Centobelli, Piera & Cerchione, Roberto, 2023. "The digital and sustainable transition of the agri-food sector," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    4. Ricardo Chalmeta & Nestor J. Santos-deLeón, 2020. "Sustainable Supply Chain in the Era of Industry 4.0 and Big Data: A Systematic Analysis of Literature and Research," Sustainability, MDPI, vol. 12(10), pages 1-24, May.
    5. Tyrone T. Lin & Shu-Yen Hsu, 2018. "Risk Management for the Optimal Order Quantity by Risk-Averse Suppliers of Food Raw Materials," IJFS, MDPI, vol. 6(4), pages 1-17, December.
    6. Kazancoglu, Yigit & Sagnak, Muhittin & Mangla, Sachin Kumar & Sezer, Muruvvet Deniz & Pala, Melisa Ozbiltekin, 2021. "A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    7. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
    8. Ioannis Margaritis & Michael Madas & Maro Vlachopoulou, 2022. "Big Data Applications in Food Supply Chain Management: A Conceptual Framework," Sustainability, MDPI, vol. 14(7), pages 1-21, March.

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