Result: Integrated framework for supply chain with blockchain technology: a manufacturers' perspective.

Title:
Integrated framework for supply chain with blockchain technology: a manufacturers' perspective.
Authors:
Ghode, Dnyaneshwar Jivanrao1 (AUTHOR) djghode@gmail.com, Yadav, Vinod2 (AUTHOR) vinod.yadav@jaipur.manipal.edu, Jain, Rakesh1 (AUTHOR) rjain.mnit@gmail.com, Soni, Gunjan1 (AUTHOR) gunjan1980@gmail.com
Source:
Journal of Innovation & Entrepreneurship. 6/13/2025, Vol. 14 Issue 1, p1-22. 22p.
Database:
Business Source Premier

Further Information

Industries aims to have a paradigm shift in supply chains (SC) to provide transparency in the shared information for the economic and social benefits of the stakeholders in an SC. The revolution of Blockchain Technology (BT) allows all the parties in the network to share secured data among themselves. This paper aims to develop a framework to integrate an SC with BT for the exchange of physical products and secured information among the stakeholders. The framework has been implemented by developing a generic SC with BT using Python 3.8.1. The framework comprises a blockchain-based distributed ledger that shares transaction information among manufacturers, distributors, retailers, and customers. For each transaction, a hash code was generated using the SHA-256 algorithm, and the Practical Byzantine Fault Tolerance (PBFT) consensus algorithm was used to verify the transactions. The quantity and rate of products have been checked through a smart contract. The influencing factors are inter-organizational trust, regulatory governance, data transparency, data immutability, interoperability, product type, social influence, and behavioural intention. This framework provides transparency in transactions between SC stakeholders and the provenance of products throughout the SC. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Innovation & Entrepreneurship is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Full text is not displayed to guests.