An Efficient DeFi-based DataWarehousing Approach in Supply Chain Finance

  • Elnaz Rabieinejad
  • , Abbas Yazdinejad*
  • , Tahereh Hasani
  • , Reza M. Parizi
  • , Mohammad Hammoudeh
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In today's world, industries are looking to improve their productivity through effective logistics and supply chain management. The efficiency of the supply chain in dealing with the huge volumes of data plays a key role in the overall performance of businesses. Supply Chain Finance (SCF) aims to improve the robustness and efficiency of companies' supply lines. However, SCF suffers from problems like fraudulent transactions, information inconsistencies, and delays in financial transfers. Decentralized finance (Defi) is a new blockchain paradigm that tackles traditional finance problems. This paper proposes a Defi-based model on a hybrid private-public blockchain for SCF. Our model improves the efficiency of SCF by eliminating costs of using centralized financial institutions, reducing overload costs due to better estimation of the required amount of products, and also decreasing supply delays for the requested products. We also evaluated our model using the SWOT technique for adopting it in the supply chain.

Original languageEnglish
Title of host publicationICFNDS 2021 - 5th International Conference on Future Networks and Distributed Systems
Subtitle of host publicationThe Premier Conference on Smart Next Generation Networking Technologies
PublisherAssociation for Computing Machinery
Pages177-185
Number of pages9
ISBN (Electronic)9781450387347
DOIs
StatePublished - 15 Dec 2021
Externally publishedYes

Publication series

NameACM International Conference Proceeding Series

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

  • Blockchain
  • DeFi
  • Smart contract
  • Supply chain efficiency
  • Supply chain finance

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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