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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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IMPACT OF MAERSK'S ADOPTION OF CLOUD-BASED BLOCKCHAIN INTEGRATED WITH MACHINE LEARNING

Authors: Salimov, Mirzohid Abdigofirovich;

IMPACT OF MAERSK'S ADOPTION OF CLOUD-BASED BLOCKCHAIN INTEGRATED WITH MACHINE LEARNING

Abstract

This paper examines the impact of Maersk’s adoption of cloud-based blockchain technology integrated with machine learning (ML) in optimizing logistics and supply chain management. As one of the largest players in the global logistics market, Maersk leverages the combination of blockchain and ML to enable secure and fully automated transactions. These technologies not only enhance business efficiency but also streamline international goods flow and ensure transparency throughout the supply chain. The paper analyzes the innovations implemented by Maersk, highlighting how this integration contributes to the company’s competitive edge in the global logistics sector by improving operational and economic outcomes.

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    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