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Adoption of Blockchain Technology for Enhanced Traceability of Livestock-Based Products

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  • Khwanchol Kampan

    (Department of Food, Agriculture and Bioresources, Asian Institute of Technology, Pathumthani 12120, Thailand)

  • Takuji W. Tsusaka

    (Department of Development and Sustainability, Asian Institute of Technology, Pathumthani 12120, Thailand)

  • Anil Kumar Anal

    (Department of Food, Agriculture and Bioresources, Asian Institute of Technology, Pathumthani 12120, Thailand)

Abstract

Blockchain has become a modern technology that can enhance the traceability of products and services, which is particularly relevant to agri-food supply chains. This paper reviews studies on blockchain technology applications to the agri-food supply chain system and food industry, and discusses potential adaptation of blockchain technology for livestock-based products with a focus on the ASEAN Region and Thailand. A comprehensive method for reviewing the literature was adopted, and this paper encompasses stakeholders along the supply chain of livestock-based products to understand the prospect of applying blockchain technology to the sector. It was found that while blockchain technology is potentially sustainable and worthy of applications, there remain various limitations and complications toward adoption, such as the low awareness among stakeholders, the weak sector-wide coordination, and the lack of capacity in primary suppliers. Potential benefits and implications of blockchain technology for the food industry have yet to be widely understood, especially in the ASEAN. These findings would call for coordinated support from both the governments and the private sector, especially to raise awareness of the technology, reinforce sector-wide coordination, and develop skills required for adoption.

Suggested Citation

  • Khwanchol Kampan & Takuji W. Tsusaka & Anil Kumar Anal, 2022. "Adoption of Blockchain Technology for Enhanced Traceability of Livestock-Based Products," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13148-:d:941403
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    References listed on IDEAS

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    2. Singh, Akshit & Mishra, Nishikant & Ali, Syed Imran & Shukla, Nagesh & Shankar, Ravi, 2015. "Cloud computing technology: Reducing carbon footprint in beef supply chain," International Journal of Production Economics, Elsevier, vol. 164(C), pages 462-471.
    3. Shankar, Ravi & Gupta, Rachita & Pathak, Devendra Kumar, 2018. "Modeling critical success factors of traceability for food logistics system," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 205-222.
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    Cited by:

    1. Jinying Li & Ananda Maiti & Jiangang Fei, 2023. "Features and Scope of Regulatory Technologies: Challenges and Opportunities with Industrial Internet of Things," Future Internet, MDPI, vol. 15(8), pages 1-27, July.
    2. Parra-López, Carlos & Reina-Usuga, Liliana & Garcia-Garcia, Guillermo & Carmona-Torres, Carmen, 2025. "Promoting digital traceability in agriculture: A predictive approach to adoption and policy design in the olive sector," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    3. Tao Li & Xiaotong Xu & Weirong Liu & Chengdong Shi, 2023. "Pricing Decision of Three-Level Agricultural Supply Chain Based on Blockchain Traceability and Altruistic Preference," Sustainability, MDPI, vol. 15(4), pages 1-25, February.
    4. Muhammad Nazam & Muhammad Hashim & Florian Marcel Nută & Liming Yao & Muhammad Azam Zia & Muhammad Yousaf Malik & Muhammad Usman & Levente Dimen, 2022. "Devising a Mechanism for Analyzing the Barriers of Blockchain Adoption in the Textile Supply Chain: A Sustainable Business Perspective," Sustainability, MDPI, vol. 14(23), pages 1-31, December.

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