Artificial Intelligence Enabled Project Management: A Systematic Literature Review
In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies such as artificial intelligence for more efficient and green human-centric production. In a similar approach, project management would benefit from artificial intelligence in order to achieve project goals b...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/8/5014 |
| _version_ | 1827746026618880000 |
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| author | Ianire Taboada Abouzar Daneshpajouh Nerea Toledo Tharaka de Vass |
| author_facet | Ianire Taboada Abouzar Daneshpajouh Nerea Toledo Tharaka de Vass |
| author_sort | Ianire Taboada |
| collection | DOAJ |
| description | In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies such as artificial intelligence for more efficient and green human-centric production. In a similar approach, project management would benefit from artificial intelligence in order to achieve project goals by improving project performance, and consequently, reaching higher sustainable success. In this context, this paper examines the role of artificial intelligence in emerging project management through a systematic literature review; the applications of AI techniques in the project management performance domains are presented. The results show that the number of influential publications on artificial intelligence-enabled project management has increased significantly over the last decade. The findings indicate that artificial intelligence, predominantly machine learning, can be considerably useful in the management of construction and IT projects; it is notably encouraging for enhancing the planning, measurement, and uncertainty performance domains by providing promising forecasting and decision-making capabilities. |
| first_indexed | 2024-03-11T05:15:45Z |
| format | Article |
| id | doaj.art-2ffe8374042d4a69bc87a3fa2d8930b1 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T05:15:45Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-2ffe8374042d4a69bc87a3fa2d8930b12023-11-17T18:12:27ZengMDPI AGApplied Sciences2076-34172023-04-01138501410.3390/app13085014Artificial Intelligence Enabled Project Management: A Systematic Literature ReviewIanire Taboada0Abouzar Daneshpajouh1Nerea Toledo2Tharaka de Vass3School of Engineering of Bilbao, University of the Basque Country—UPV/EHU, 48013 Bilbao, SpainSchool of Engineering of Bilbao, University of the Basque Country—UPV/EHU, 48013 Bilbao, SpainSchool of Engineering of Bilbao, University of the Basque Country—UPV/EHU, 48013 Bilbao, SpainVictoria University Business School, Victoria University, Melbourne 3011, AustraliaIn the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies such as artificial intelligence for more efficient and green human-centric production. In a similar approach, project management would benefit from artificial intelligence in order to achieve project goals by improving project performance, and consequently, reaching higher sustainable success. In this context, this paper examines the role of artificial intelligence in emerging project management through a systematic literature review; the applications of AI techniques in the project management performance domains are presented. The results show that the number of influential publications on artificial intelligence-enabled project management has increased significantly over the last decade. The findings indicate that artificial intelligence, predominantly machine learning, can be considerably useful in the management of construction and IT projects; it is notably encouraging for enhancing the planning, measurement, and uncertainty performance domains by providing promising forecasting and decision-making capabilities.https://www.mdpi.com/2076-3417/13/8/5014artificial intelligenceproject managementproject performance domainsIndustry 5.0 |
| spellingShingle | Ianire Taboada Abouzar Daneshpajouh Nerea Toledo Tharaka de Vass Artificial Intelligence Enabled Project Management: A Systematic Literature Review Applied Sciences artificial intelligence project management project performance domains Industry 5.0 |
| title | Artificial Intelligence Enabled Project Management: A Systematic Literature Review |
| title_full | Artificial Intelligence Enabled Project Management: A Systematic Literature Review |
| title_fullStr | Artificial Intelligence Enabled Project Management: A Systematic Literature Review |
| title_full_unstemmed | Artificial Intelligence Enabled Project Management: A Systematic Literature Review |
| title_short | Artificial Intelligence Enabled Project Management: A Systematic Literature Review |
| title_sort | artificial intelligence enabled project management a systematic literature review |
| topic | artificial intelligence project management project performance domains Industry 5.0 |
| url | https://www.mdpi.com/2076-3417/13/8/5014 |
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