Skip to main content

Advertisement

Log in

Rebuilding the Food Supply Chain by Introducing a Decentralized Credit Mechanism

  • Article
  • Published:
The Review of Socionetwork Strategies Aims and scope Submit manuscript

Abstract

Although a mechanism for trust in agricultural product transactions has systems and laws to endorse contracts, the credit relationship and security mechanism lack sufficient trust. Currently, an RFID traceability system is used to solve the problem that how to read and protect data, but the situation is such that the data can be tampered with, thus considerably lowering security. Blockchain technology, which is a distributed, shared, and encrypted database, however, can be used for such security. Through distributed accounting, a decentralized credit system can be established to enhance data security, which is a new mode to save time and costs. In this paper, the problems of the food supply chain system are systematically reanalyzed in the framework of traditional food supply chain systems. In addition, after analyzing the characteristics of blockchain technology, a decentralized credit mechanism for the food supply chain is proposed. The traceability of agricultural products based on the blockchain can realize fast and secure authentication permissions and achieve data security in which data cannot be tampered with or forged from anti-counterfeiting, and information privacy is protected.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Chen, X., & Kwan, M.-P. (2017). Contextual uncertainties, human mobility, and perceived food environment: The uncertain geographic context problem in food access research. American Journal of Public Health., 105(9), 1734–1737.

    Article  Google Scholar 

  2. Johnson-Hall, T. D. (2017). Ensuring food safety by preventing food recalls: The impact of locus of failure, regulatory agency discovery, breadth, and firm size on corrective action. Journal of Marketing Channels, 24(3/4), 115–135.

    Article  Google Scholar 

  3. Koufteros, X., & Lu, G. (2017). Food supply chain safety and security: A concern of global importance. Journal of Marketing Channels, 24(3/4), 111–114.

    Article  Google Scholar 

  4. Lu, G., & Koufteros, X. (2017). Toward a taxonomy of food supply chain security practices. Journal of Marketing Channels., 24(3/4), 190–203.

    Article  Google Scholar 

  5. Abiyev, R. H., Uyar, K., Ilhan, U., Imanov, E., & Abiyeva, E. (2018). Estimation of food security risk level using Z-number-based fuzzy system. Journal of Food Quality, 2018, 1–9.

    Article  Google Scholar 

  6. Allen, T., Prosperi, P., Cogill, B., Padilla, M., & Peri, I. (2019). A Delphi approach to develop sustainable food system metrics. Social Indicators Research, 141(3), 1307–1339.

    Article  Google Scholar 

  7. Navarrete RAM, Esteban L, Cruz F.Brazilian (2016). Security of the internet of things: Perspectives and challenges. Journal Wireless Networks archive, 20(8), 2481–2501.

  8. Kasten, J. (2016). Blockchain application: The dairy supply chain. Journal of Supply Chain Management Systems., 8(1), 45–54.

    Google Scholar 

  9. Drosatos, G., & Kaldoudi, E. (2019). Blockchain applications in the biomedical domain: A scoping review. Computational and Structural Biotechnology Journal, 17(2019), 229–240.

    Article  Google Scholar 

  10. Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219, 179–194.

    Article  Google Scholar 

  11. Krzyzanowski, K. (2019). Putting food on the blockchain: A regulatory overview. Journal of Food Distribution Research., 50(1), 86.

    Google Scholar 

  12. Kim, H. M., & Laskowski, M. (2015). Toward an ontology-driven blockchain design for supply-chain provenance. Intelligent Systems in Accounting, Finance & Management, 25(1), 18–27.

    Article  Google Scholar 

  13. Zhao, G., Liu, S., Lopez, C., Lu, H., Elgueta, S., Chen, H., & Boshkoska, B. M. (2019). Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. Computers in Industry, 109, 83–99.

    Article  Google Scholar 

  14. Kittipanya-ngam, P., & Tan, K. H. (2020). A framework for food supply chain digitalization: lessons from Thailand. Production Planning & Control., 31(2/3), 158–172.

    Article  Google Scholar 

  15. Khan, P. W., & Byun, Y. C. (2020). Park N (2020) IoT-Blockchain enabled optimized provenance system for food industry 4.0 using advanced deep learning. Sensors, 20(10), 2990.

    Article  Google Scholar 

  16. Feng, H., Wang, X., Duan, Y., Zhang, J., & Xiaoshuan, Z. (2020). Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges. Journal of Cleaner Production., 260, 121031. https://doi.org/10.1016/j.jclepro.2020.121031

    Article  Google Scholar 

  17. Bumblauskas, D., Mann, A., Dugan, B., & Rittmer, J. (2019). A blockchain use case in food distribution: Do you know where your food has been? International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2019.09.004

    Article  Google Scholar 

  18. Muzammal, M., Qu, Q., & Nasrulin, B. (2019). Renovating blockchain with distributed databases: An open source system. Future Generation Computer Systems., 90, 105–117. https://doi.org/10.1016/j.future.2018.07.042

    Article  Google Scholar 

  19. George, R., Harsh, H. O., Ray, P., & Babu, A. (2019). Food quality traceability prototype for restaurants using blockchain and food quality data index. Journal of Cleaner Production., 240, 118021. https://doi.org/10.1016/j.jclepro.2019.118021

    Article  Google Scholar 

  20. Rogerson, M., & Parry, G. C. (2020). Blockchain: case studies in food supply chain visibility. Supply Chain Management, 25(5), 601–614. https://doi.org/10.1108/SCM-08-2019-0300

    Article  Google Scholar 

  21. Hew, J. J., Wong, L. W., Tan, G. W. H., Ooi, K. B., & Lin, B. (2020). The blockchain-based Halal traceability systems: a hype or reality? Supply Chain Management, 25(6), 863–879. https://doi.org/10.1108/SCM-01-2020-0044

    Article  Google Scholar 

  22. Rejeb, A., Keogh, J., Zailani, S., Treiblmaier, H., & Rejeb, K. (2020). Blockchain technology in the food industry: A review of potentials challenges and future research directions. Logistics. https://doi.org/10.3390/logistics4040027

    Article  Google Scholar 

  23. Kouhizadeh, M., Saberi, S., & Sarkis, J. (2020). Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. International Journal of Production Economics., 231, 107831. https://doi.org/10.1016/j.ijpe.2020.107831

    Article  Google Scholar 

Download references

Acknowledgements

This research is supported by Grant-in-Aid for scientific Research of the Japanese ministry of Education, Culture, Sports, Science and Technology under the Contract No.(C) 19K01824 (2019–2021).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu Cui.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cui, Y., Idota, H. & Ota, M. Rebuilding the Food Supply Chain by Introducing a Decentralized Credit Mechanism. Rev Socionetwork Strat 15, 239–250 (2021). https://doi.org/10.1007/s12626-021-00079-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12626-021-00079-4

Keywords

Navigation