Artificial Intelligence Enabled Project Management: A Systematic Literature Review

被引:13
|
作者
Taboada, Ianire [1 ]
Daneshpajouh, Abouzar [1 ]
Toledo, Nerea [1 ]
de Vass, Tharaka [2 ]
机构
[1] Univ Basque Country UPV EHU, Sch Engn Bilbao, Bilbao 48013, Spain
[2] Victoria Univ, Victoria Univ Business Sch, Melbourne 3011, Australia
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 08期
关键词
artificial intelligence; project management; project performance domains; Industry; 5; 0; ANT COLONY OPTIMIZATION; CASH FLOW PREDICTION; SOFTWARE-DEVELOPMENT; CONSTRUCTION PROJECTS; PORTFOLIO MANAGEMENT; DECISION-SUPPORT; FUZZY-LOGIC; PREQUALIFICATION; SUCCESS; MODEL;
D O I
10.3390/app13085014
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
引用
收藏
页数:23
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