Abstract
Fish products traceability is a sensitive issue for supply chains (SCs) involved in the capturing processes and successful distribution of these commodities. Full transparency and traceability of fish products’ locomotion has a potential to stop the flow of illegally or unethically caught/processed fish. Blockchain technology (BCT) is considered to become a crucial part of the fish traceability solution, providing an end-to-end visibility, thus creating value for all stakeholders, including final consumers. In this study, we are aiming to explore the current state of the BCT implementations to the fish distribution SCs This study applies a systematic literature review (SLR) approach of academic literature to reveal the status quo of BCT adoption in the fish and seafood SC cases, revealing the opportunities it holds in improving the levels of traceability, as well as the challenges that were identified in extant literature that need to be addressed throughout the development of the fish industry applications.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Our Ocean. http://ourocean2016.org/sustainable-fisheries. Accessed 05 Oct 2022
Holland, J.: UN: the world is producing and consuming more seafood, but overfishing remains rife. (2020). https://www.seafoodsource.com/news/supply-trade/un-the-world-is-producing-and-consuming-more-seafood-but-overfishing-remains-rife. Accessed 05 Oct 2022
Food and agriculture organization of the united nation. (2018). https://www.fao.org/fao-stories/article/en/c/1136937/. Accessed 05 Oct 2022
O’Leary, D.E.: Configuring blockchain architectures for transaction information in blockchain consortiums: the case of accounting and supply chain systems. Intell. Syst. Acc. Finan. Manag. 24(4), 138–147 (2017)
Wang, Y., Singgih, M., Wang, J., Rit, M.: Making sense of blockchain technology: how will it transform supply chains? Int. J. Prod. Econ. 211, 221–236 (2019)
Li, D., Du, R., Fu, Y., Au, M.H.: Meta-key: a secure data-sharing protocol under blockchain-based decentralized storage architecture. IEEE Networking Lett. 1(1), 30–33 (2019)
Nayak, G., Dhaigude, A.S.: A conceptual model of sustainable supply chain management in small and medium enterprises using blockchain technology. Cogent Econ. Finance 7(1), 1667184 (2019)
Rejeb, A., Keogh, J.G., Treiblmaier, H.: Leveraging the internet of things and blockchain technology in supply chain management. Future Internet 11(7), 161 (2019)
Wang, J., Wu, P., Wang, X., Shou, W.: The outlook of blockchain technology for construction engineering management. Front. Eng. Manag. 67–75 (2017)
Kim, J.S., Shin, N.: The impact of blockchain technology application on supply chain partnership and performance. Sustainability 11(21), 6181 (2019)
Sachdev, D.: Enabling data democracy in supply chain using blockchain and Iot. J. Manag. 6(1), 66–83 (2019)
Montecchi, M., Kirk, P., Michael, E.: It’s real, trust me! Establishing supply chain provenance using blockchain. Bus. Horiz. 62(3), 283–293 (2019)
Schuetz, S., Venkatesh, V.: Blockchain, adoption, and financial inclusion in India: research opportunities. Int. J. Inf. Manage. 52, 101936 (2020)
Huang, Y., Han, W., Macbeth, D.K.: The complexity of collaboration in supply chain networks. Supply Chain Manag. 25(3), 393–410 (2020)
Ferreira, J.C., Martins, A.L., Gonçalves, F., Maia, R.: A blockchain and gamification approach for smart parking. In: Ferreira, J.C., Martins, A.L., Monteiro, V. (eds.) INTSYS 2018. LNICSSITE, vol. 267, pp. 3–14. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-14757-0_1
Kamble, S.S., Gunasekaran, A., Sharma, R.: Modeling the blockchain enabled traceability in agriculture supply chain. Int. J. Inf. Manage. 52, 101967 (2020)
Ada, N., et al.: Blockchain technology for enhancing traceability and efficiency in automobile supply chain—a case study. Sustainability 13(24), 13667 (2021)
Tokkozhina, U., Ferreira, J.C., Martins, A.L.: Wine traceability and counterfeit reduction: blockchain-based application for a wine supply Chain. In: Martins, A.L., Ferreira, J.C., Kocian, A. (eds) International Conference on Intelligent Transport Systems, pp. 59–70, Springer, Cham (2021) https://doi.org/10.1007/978-3-030-97603-3_5
Tokkozhina, U., Martins, A.L., Ferreira, J.C.: Adopting blockchain in supply chain – an approach for a pilot. In: Martins, A.L., Ferreira, J.C., Kocian, A., Costa, V. (eds.) INTSYS 2020. LNICSSITE, vol. 364, pp. 125–141. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-71454-3_8
Ferreira, J.C., Martins, A.L., Tokkozhina, U., Helgheim, B.I.: Fish control process and traceability for value creation using blockchain technology. In: International Conference on Innovations in Bio-Inspired Computing and Applications, pp. 761–773, Springer, Cham (2021). https://doi.org/10.1007/978-3-030-96299-9_72
Köhler, S., Pizzol, M.: Technology assessment of blockchain-based technologies in the food supply chain. J. Clean. Prod. 269, 122193 (2020)
Low, X.Y., Yunus, N.A., Muhamad, I.I.: Development of traceability system for seafood supply Chains in Malaysia. Chem. Eng. Trans. 89, 427–432 (2021)
Probst, W.N.: How emerging data technologies can increase trust and transparency in fisheries. ICES J. Mar. Sci. 77(4), 1286–1294 (2020)
Sengupta, T., Narayanamurthy, G., Moser, R., Pereira, V., Bhattacharjee, D.: Disruptive technologies for achieving supply chain resilience in COVID-19 era: an implementation case study of satellite imagery and blockchain technologies in fish supply Chain. Inf. Syst. Front. 24, 1–17 (2021). https://doi.org/10.1007/s10796-021-10228-3
Feng, H., Zhang, M., Gecevska, V., Chen, B., Saeed, R., Zhang, X.: Modeling and evaluation of quality monitoring based on wireless sensor and blockchain technology for live fish waterless transportation. Comput. Electron. Agric. 193, 106642 (2022)
Rahman, L.F., Alam, L., Marufuzzaman, M., Sumaila, U.R.: Traceability of sustainability and safety in fishery supply chain management systems using radio frequency identification technology. Foods 10(10), 2265 (2021)
Grecuccio, J., Giusto, E., Fiori, F., Rebaudengo, M.: Combining blockchain and IoT: Food-chain traceability and beyond. Energies 13(15), 3820 (2020)
Korneyko, O., Podvolotskaya, A., Street, S.: Assessment of the blockchain capabilities to combat the global trade in “Falsified” and “Illegal” fish products. J. Eng. Appl. Sci. 14(10), 3310–3315 (2019)
Altoukhov, A.: Industrial product platforms and blockchain in aquaculture. In: IOP Conference Series: Earth and Environmental Science, vol. 421, no. 4, pp. 1–6 (2020)
Hang, L., Ullah, I., Kim, D.H.: A secure fish farm platform based on blockchain for agriculture data integrity. Comput. Electron. Agric. 170, 105251 (2020)
Tsolakis, N., Niedenzu, D., Simonetto, M., Dora, M., Kumar, M.: Supply network design to address United Nations Sustainable Development Goals: a case study of blockchain implementation in Thai fish industry. J. Bus. Res. 131, 495–519 (2021)
Petri, I., Masoud, B., Yacine, R., Omer, F.: Blockchain for energy sharing and trading in distributed prosumer communities. Comput. Ind. 123, 103282 (2020)
Acknowledgement
This work was supported by EEA Grants Blue Growth Programme (Call #5), Project PT-INNOVATION-0069 – Fish2Fork.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Tokkozhina, U., Martins, A.L., Ferreira, J.C., Casaca, A. (2023). Traceable Distribution of Fish Products: State of the Art of Blockchain Technology Applications to Fish Supply Chains. In: Martins, A.L., Ferreira, J.C., Kocian, A., Tokkozhina, U. (eds) Intelligent Transport Systems. INTSYS 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-031-30855-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-031-30855-0_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-30854-3
Online ISBN: 978-3-031-30855-0
eBook Packages: Computer ScienceComputer Science (R0)