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KAYIKCI, Yasanur and SUBRAMANIAN, Nachiappan (2022). Blockchain Interoperability Issues in Supply Chain: Exploration of Mass Adoption Procedures. In: EMROUZNEJAD, A and CHARLES, V, (eds.) Big Data and Blockchain for Service Operations Management. Studies in Big Data (98). Cham, Switzerland, Springer, 309-328.
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Abstract
Today’s supply chains are becoming more data-driven with the impact of big data, but there are many challenges that need to be overcome in big data for better service operations management in supply chains. Blockchain has the great potential to improve big data services and applications with its decentralisation and security nature. However, blockchain interoperability is critical to realising more value creation in blockchain networks and achieving promising results for global supply chains that intersect with multiple business ecosystems and blockchain platforms. In addition, it is unclear how to address interoperability issues for mass adoption. In this chapter, a three-step approach is applied to analyse blockchain interoperability in supply chains for mass adoption. First, a literature review is conducted to explain blockchain technology and the widely used methodologies for blockchain interoperability in supply chains. Then, four real-case blockchain use cases in supply chains from different industry segments are analysed in terms of their technical capabilities addressing interoperability concerns. Finally, we discuss results of use case analysis based on the comments of interviewees. The analysis reveals that REST-APIs with a common interface and GS1 standards are very useful to integrate with blockchain applications in supply chains for mass adoption.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Series ISSN - 2197-6511 |
| Identification Number: | https://doi.org/10.1007/978-3-030-87304-2_13 |
| Page Range: | 309-328 |
| SWORD Depositor: | Symplectic Elements |
| Depositing User: | Symplectic Elements |
| Date Deposited: | 09 Mar 2022 11:01 |
| Last Modified: | 01 Jan 2023 01:18 |
| URI: | https://shura.shu.ac.uk/id/eprint/29863 |
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