Trends and Applications of Artificial Intelligence in Project Management

被引:6
作者
Vergara, Diego [1 ]
del Bosque, Antonio [1 ]
Lampropoulos, Georgios [2 ,3 ]
Fernandez-Arias, Pablo [1 ]
机构
[1] Catholic Univ Avila, Technol Instruct & Design Engn & Educ Res Grp TiDE, C Canteros S-N, Avila 05005, Spain
[2] Univ Macedonia, Dept Appl Informat, Thessaloniki 54636, Greece
[3] Univ Nicosia, Dept Educ, CY-2417 Nicosia, Cyprus
关键词
artificial intelligence; projects; project monitoring; project management; PREDICTION;
D O I
10.3390/electronics14040800
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The integration of artificial intelligence (AI) into project management (PM) transforms how projects are planned, executed, and monitored. The main objective of this study is to provide a comprehensive bibliometric analysis exploring trends, thematic areas, and future directions in AI applications in project management by examining publications from the last decade. This research uncovers dominant themes such as machine learning, decision making, information management, and resource optimization. The findings highlight the growing use of AI to enhance efficiency, accuracy, and innovation in PM processes, with recent trends favoring data-driven approaches and emerging technologies like generative AI. Geographically, China, India, and the United States lead in publications, while the United Kingdom and Australia show a high citation impact. The research landscape, including AI-enhanced decision-making frameworks and cost analysis, demonstrates the diversity of AI applications in PM. An increased interest in the use of generative AI and its impact on PM and project managers was observed. This analysis contributes to the field by offering a structured overview of research trends, defining the challenges and opportunities for integrating AI into project management practices and offering perspectives on emerging technologies.
引用
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页数:18
相关论文
共 61 条
[1]   RETRACTED: Future of process safety: Insights, approaches, and potential developments (Retracted article. See vol. 196, 2025) [J].
Abedsoltan, Hossein ;
Abedsoltan, Amirhesam ;
Zoghi, Zeinab .
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION, 2024, 185 :684-707
[2]   Unveiling the shadows: Beyond the hype of AI in education [J].
Al-Zahrani, Abdulrahman M. .
HELIYON, 2024, 10 (09)
[3]   AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact [J].
Aldoseri, Abdulaziz ;
Al-Khalifa, Khalifa N. ;
Hamouda, Abdel Magid .
SUSTAINABILITY, 2024, 16 (05)
[4]   AI-Driven Innovations in Software Engineering: A Review of Current Practices and Future Directions [J].
Alenezi, Mamdouh ;
Akour, Mohammed .
APPLIED SCIENCES-BASEL, 2025, 15 (03)
[5]   Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence [J].
Ali, Sajid ;
Abuhmed, Tamer ;
El-Sappagh, Shaker ;
Muhammad, Khan ;
Alonso-Moral, Jose M. ;
Confalonieri, Roberto ;
Guidotti, Riccardo ;
Del Ser, Javier ;
Diaz-Rodriguez, Natalia ;
Herrera, Francisco .
INFORMATION FUSION, 2023, 99
[6]   Comparative Evaluation of Model Accuracy for Predicting Selected Attributes in Agile Project Management [J].
Alzeyani, Emira Mustafa Moamer ;
Szabo, Csaba .
MATHEMATICS, 2024, 12 (16)
[7]   bibliometrix: An R-tool for comprehensive science mapping analysis [J].
Aria, Massimo ;
Cuccurullo, Corrado .
JOURNAL OF INFORMETRICS, 2017, 11 (04) :959-975
[8]   Who is better in project planning?Generative artificial intelligence or project managers? [J].
Barcaui, Andre ;
Monat, Andre .
PROJECT LEADERSHIP AND SOCIETY, 2023, 4
[9]  
Bargavi R., 2024, AI-Driven IoT Systems for Industry 4.0, P185, DOI DOI 10.1201/9781003432319-11
[10]  
Bento Sofia, 2022, International Journal of Technology Intelligence and Planning, P143, DOI 10.1504/IJTIP.2022.126841