Secured finance handling for supply chain integrated business intelligence using blockchain application scenarios

Business intelligence is becoming more essential for supply chain administrators to make good decisions. The globalization of supply chains makes their management and control more challenging. Blockchain is a distributed digital ledger technology that guarantees traceability, transparency, and secur...

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Published inIntelligent data analysis Vol. 28; no. 2; pp. 553 - 571
Main Authors Abd, Sura Khalil, Ali, Mohammed Hasan, Jaber, Mustafa Musa, Abosinnee, Ali S., Kareem, Z.H., Wahab, Amelia Natasya Abdul, Hassan, Rosilah, Jassim, Mustafa Mohammed
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.04.2024
Sage Publications Ltd
Subjects
Blockchain
Business intelligence
Cryptography
Data management
Finance
Globalization
Handling
Information management
Intelligence (information)
Supply chain management
Supply chains
blockchain technology
business intelligence
supply chain management
Secured finance handling
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ISSN1088-467X
1571-4128
DOI10.3233/IDA-227445

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Summary:Business intelligence is becoming more essential for supply chain administrators to make good decisions. The globalization of supply chains makes their management and control more challenging. Blockchain is a distributed digital ledger technology that guarantees traceability, transparency, and security and promises to ease global supply chain management issues. This paper proposes the Blockchain-assisted Secure Data Management Framework (BSDMF) for financial data handling for supply chain integrated business intelligence models. Analyzing, collecting, and demonstrating data could be important to a business, its supply chain performance, and sustainability. The blockchain can interrupt supply chain processes for improved finance handling, distributed management, and process automation. The study’s experimental result will help organizations deploy blockchain applications with intelligent business strategies to support supply chain management effectively. The simulation outcome has been implemented, and the recommended method achieves a computation time of fewer than 2 hours, an efficiency ratio of 97.4%, an error ratio of 94.1%, data authentication of 92.1%, and a data management ratio of 98.7%.
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ISSN:1088-467X
1571-4128
DOI:10.3233/IDA-227445