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ZENODO
Journal . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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AN INTEGRATED BLOCKCHAIN AND ARTIFICIAL INTELLIGENCE FRAMEWORK FOR SUSTAINABLE SUPPLY CHAIN MANAGEMENT

Authors: Palottu Abhirami Mangalaprasad & Shreya Naresh Kudidhi;

AN INTEGRATED BLOCKCHAIN AND ARTIFICIAL INTELLIGENCE FRAMEWORK FOR SUSTAINABLE SUPPLY CHAIN MANAGEMENT

Abstract

Sustainable Supply Chain Management (SSCM) has gained significant attention due to increasing environmental concerns, regulatory pressure, and stakeholder demand for transparency and ethical accountability. Traditional supply chain systems rely heavily on centralized data repositories and periodic sustainability audits, which suffer from data manipulation risks, limited traceability, and delayed decision-making. While blockchain technology improves transparency through decentralized and immutable data storage, it largely functions as a secure data repository. Similarly, artificial intelligence (AI) enhances prediction and optimization but often operates on unverifiable or fragmented data sources. This paper proposes an integrated Blockchain and Artificial Intelligence framework for sustainable supply chain management, introducing Blockchain-Anchored Sustainability Intelligence (BASI) as a sustainability-focused AI layer. BASI continuously evaluates, predicts, and explains sustainability performance using blockchain-verified data. Furthermore, smart contracts translate AI-driven sustainability insights into automated incentives and penalties, ensuring accountability. The proposed framework transforms sustainability from static reporting into continuous, explainable, and enforceable governance, enabling proactive and transparent supply chain decision-making.

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green