Efficiency enhancement of energy supply chains using a machine learning-driven network evaluation framework for blockchain adoption

Efficiency enhancement of energy supply chains using a machine learning-driven network evaluation framework for blockchain adoption

The Oil and Gas (O&G) sector is essential to the global energy supply, yet it still struggles with inefficiencies caused by conventional, paper-driven decision-making processes in its supply chain. This study aims to assess the integration of blockchain technology as a strategic solution to thes...

Full description

Saved in:
Bibliographic Details
Main Authors: Ardavan Babaei, Erfan Babaee Tirkolaee, Shahryar Sorooshian, Sadia Samar Ali, Gongming Wang
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Energy Strategy Reviews
Subjects:
Blockchain adoption
Decision-making
Network data envelopment analysis
Energy industry
Oil and gas supply chain
Online Access:http://www.sciencedirect.com/science/article/pii/S2211467X25001798
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items