Abstract
During the development of supply chain finance, the imperfection of credit system and financial service platform has been a major problem, which needs to be improved and improved through new technical means. The existing supply chain financial platform can not manage and store the financing information data with high credibility and reliability, and it is difficult to share data efficiently among multiple asset ends and fund parties, and also can not carry out automatic trial calculation and settlement of funds. This paper proposes a storage method based on blockchain and bloom filter, which is used as the storage model of electronic document data in the process of supply chain finance business. The simulation experiments show that the model proposed in this paper has greater improvement in both access efficiency and retrieval efficiency than the existing model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Karakuş, R., Zor, İ.: Effect of supply chain finance on value of firms in the supply Chain (2017)
Chen, X., Liu, C., Li, S.: The role of supply chain finance in improving the competitive advantage of online retailing enterprises. Electron. Commer. Res. Appl. 33, 100821 (2019). ISSN 1567–4223
Gelsomino, L., Mangiaracina, R., Perego, A., Tumino, A.: Supply chain finance: a literature review. Int. J. Phys. Distrib. Logist. Manag. 46, 348–366 (2016). https://doi.org/10.1108/IJPDLM-08-2014-0173
Graham, J., Harvey, C., Rajgopal, S.: The economic implications of corporate financial reporting. J. Account. Econ. 40, 3–73 (2004). https://doi.org/10.1016/j.jacceco.2005.01.002
Zhong, C.: Study on a kind of comprehensive evaluation method for supply chain risk-extensive matter element with variable weight method. Sci. Technol. Manag. Res. (2012)
Patel, J.: An effective and scalable data modeling for enterprise big data platform. In: 2019 IEEE International Conference on Big Data (Big Data), pp. 2691–2697 (2019)
Zheng, Z., et al.: An overview of blockchain technology: architecture, consensus, and future trends. In: 2017 IEEE International Congress on Big Data (BigData Congress), pp. 557–564 (2017)
Zhou, T., et al.: EverSSDI: blockchain-based framework for verification, authorisation and recovery of self-sovereign identity using smart contracts. J. Comput. Appl. Technol. 60(3), 281–295 (2019)
Jamal, A., et al.: Blockchain-based identity verification system. In: 2019 IEEE 9th International Conference on System Engineering and Technology (ICSET), pp. 253–257 (2019)
Huang, Y., et al.: Block chain network, branch node and block chain network application method (2017)
Hofmann, E., et al.: Supply chain finance and blockchain technology: the case of reverse securitisation (2017)
Katragadda, R.B., et al.: Systems and methods for blockchain security data intelligence (2020)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, D., Han, D., Liu, H. (2020). Fabric-Chain & Chain: A Blockchain-Based Electronic Document System for Supply Chain Finance. In: Zheng, Z., Dai, HN., Fu, X., Chen, B. (eds) Blockchain and Trustworthy Systems. BlockSys 2020. Communications in Computer and Information Science, vol 1267. Springer, Singapore. https://doi.org/10.1007/978-981-15-9213-3_46
Download citation
DOI: https://doi.org/10.1007/978-981-15-9213-3_46
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-9212-6
Online ISBN: 978-981-15-9213-3
eBook Packages: Computer ScienceComputer Science (R0)