From ocean to table: examining the potential of Blockchain for responsible sourcing and sustainable seafood supply chains

Vijayakumar Bharathi S, Arif Perdana, T Vivekanand, V Venkatesh, Yang Cheng and Yangyan Shi
Additional contact information
Vijayakumar Bharathi S: Symbiosis International University
Arif Perdana: Monash university
V Venkatesh: Métis Lab EM Normandie - EM Normandie - École de Management de Normandie = EM Normandie Business School
Yang Cheng: AAU - Aalborg University [Denmark]
Yangyan Shi: Macquarie University [Sydney]

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Abstract: his study integrates technology-organisation-environment (TOE) theory with situation-actor-process(SAP) and learning-action-performance (LAP) models to provide a comprehensive evaluation of com-plex seafood supply chain management (SCM) systems. We present a framework based on Blockchaintechnology that facilitates the transformation of the seafood supply chain ecosystem from its currentstate to a more streamlined one in the future. This framework offers the potential for driving trans-formation and delivering advantages that encompass improved data efficiency, sustainable practices,and streamlined integration across the seafood supply chain. Our research highlights the importanceof accurate data management, stakeholder involvement, regulatory compliance, cybersecurity, cost-effectiveness, transparency, and sustainability for the successful integration of Blockchain in seafoodSCM systems. This allows stakeholders to make informed decisions and optimise spending.Furthermore, we emphasise the significant value of transparency provided by Blockchain, which ena-bles stakeholders to make well-informed decisions and optimise their spending.

Keywords: Blockchain; Supply chainmanagement; Seafood industry; TOE; Blockchain supply chain management seafood industry TOE; supply chain management; seafood industry (search for similar items in EconPapers)
Date: 2024-04
New Economics Papers: this item is included in nep-agr, nep-env and nep-pay
Note: View the original document on HAL open archive server: https://hal.science/hal-04737690v1
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Published in Production Planning and Control, 2024, pp.1-20. ⟨10.1080/09537287.2024.2321291⟩

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DOI: 10.1080/09537287.2024.2321291

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