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Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2024
License: CC BY
Data sources: Datacite
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Enhancing Project Management Efficiency through Artificial Intelligence: A Comprehensive Review

Authors: Yunus Ibrahim, Ibrahim Halliru, Muhammad Ishaq Idriss, Usman Abdullahi Ibrahim;

Enhancing Project Management Efficiency through Artificial Intelligence: A Comprehensive Review

Abstract

This paper presents a structured and comprehensive analysis on the applications of Artificial Intelligence models in Project Management efficiency. It delineates the facets of project management efficiency and correlates them with cutting edge AI technology. The study employs the approach of a systematic literature review, which synthesizes AI advancement with project management practices. This methodology selects data from scholarly articles of high quality that are relevant to the topic. The research is focused to the construction industry, limiting the search to current practices for a period of 10 years. Meanwhile, it has been observed that there is a gap in research focusing on the efficiency aspect in project management using AI technology. Therefore, the paper sets the stage for future investigations, thereby contributing original insights to the field.

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    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).
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    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.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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