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International Journal of Computer Applications
Article . 2024 . Peer-reviewed
Data sources: Crossref
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ZENODO
Article . 2024
License: CC BY
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Integrating Artificial Intelligence to Enhance Sustainability in Project Management Practices

Authors: Jariwala, Mayur;

Integrating Artificial Intelligence to Enhance Sustainability in Project Management Practices

Abstract

This interdisciplinary paper delves into the transformative capabilities of Artificial Intelligence (AI) in enhancing sustainability within project management. Through a comprehensive analysis, key AI technologies—machine learning, natural language processing, and predictive analytics—and their applications in optimizing resource allocation, risk assessment, and decision-making processes to achieve sustainable project outcomes are delved into. Use cases illustrate AI's efficacy in optimizing renewable energy and managing construction waste, offering tangible demonstrations of its influence on sustainability objectives. Despite the promising integration of AI, the technical, social, and ethical challenges that emerge are also examined, particularly concerning data privacy, algorithmic bias, and the necessity for transparent and responsible AI application. Furthermore, the paper identifies future research directions and emerging AI technologies that could further advance sustainability in project planning. Conclusively, the critical role of AI in redefining project management practices is underscored, advocating for its integration as a strategic approach to meeting global sustainability challenges.

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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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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!
3
Top 10%
Average
Average
gold