Artificial intelligence in project management: A bibliometric analysis
This study explores the integration of artificial intelligence (AI) into project management through a bibliometric analysis of scholarly publications and patents from 2001 to 2024. The paper aims to identify key trends, emerging applications, and global contributions to this evolving field. The stud...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
LLC "CPC "Business Perspectives"
2025-04-01
|
| Series: | Problems and Perspectives in Management |
| Subjects: | |
| Online Access: | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/22002/PPM_2025_02_Ibadildin.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850184937722871808 |
|---|---|
| author | Nurkhat Ibadildin Zhaxat Kenzhin Gaukhar Yeshenkulova Rymkul Ismailova Assel Nurguzhina Samalgul Nassanbekova Aiman Kadyrova |
| author_facet | Nurkhat Ibadildin Zhaxat Kenzhin Gaukhar Yeshenkulova Rymkul Ismailova Assel Nurguzhina Samalgul Nassanbekova Aiman Kadyrova |
| author_sort | Nurkhat Ibadildin |
| collection | DOAJ |
| description | This study explores the integration of artificial intelligence (AI) into project management through a bibliometric analysis of scholarly publications and patents from 2001 to 2024. The paper aims to identify key trends, emerging applications, and global contributions to this evolving field. The study analyzes 51,752 patents from Lens, 5.5 million scholarly records from Google Scholar, and 436,380 records from Web of Science, providing a comprehensive overview of AI’s impact on project management. The analysis maps the evolution of AI-driven project management practices, focusing on resource allocation, risk management, and scheduling optimization. The findings reveal a substantial increase in AI-related project management research, with China and the United States leading in research output. A notable surge in publications post-2019 suggests acceleration due to the COVID-19 pandemic and the growing demand for digital transformation in project execution. Despite the rising adoption of AI in project management, research gaps persist, particularly in interdisciplinary methodologies, practical AI applications, and ethical concerns related to algorithmic decision-making. This study contributes to understanding AI’s transformative role in project management and highlights future research directions to enhance AI adoption for improved efficiency, decision-making, and project performance. The findings underscore the need for continued exploration of interdisciplinary approaches, practical implementations, and ethical considerations to foster innovation and efficiency in AI-driven project management. |
| format | Article |
| id | doaj-art-62b08e267c8a472ab79160624f39c4c3 |
| institution | OA Journals |
| issn | 1727-7051 1810-5467 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | LLC "CPC "Business Perspectives" |
| record_format | Article |
| series | Problems and Perspectives in Management |
| spelling | doaj-art-62b08e267c8a472ab79160624f39c4c32025-08-20T02:16:55ZengLLC "CPC "Business Perspectives"Problems and Perspectives in Management1727-70511810-54672025-04-0123225226410.21511/ppm.23(2).2025.1722002Artificial intelligence in project management: A bibliometric analysisNurkhat Ibadildin0https://orcid.org/0000-0002-6352-8713Zhaxat Kenzhin1https://orcid.org/0000-0001-6085-8349Gaukhar Yeshenkulova2https://orcid.org/0000-0002-2460-5499Rymkul Ismailova3https://orcid.org/0000-0002-8934-5181Assel Nurguzhina4https://orcid.org/0000-0001-6630-6326Samalgul Nassanbekova5https://orcid.org/0000-0002-5669-2718Aiman Kadyrova6https://orcid.org/0009-0003-1217-2352Ph.D., School of Creative Industries, Astana IT University, Kazakhstan.Ph.D., Associate Professor, Department of Academic Activities, Human Resources Faculty, Academy of Physical Education and Mass Sports, Kazakhstan.Ph.D., School of Creative Industries, Astana IT University, Kazakhstan.Ph.D., Professor, Academy of Public Administration under the President of the Republic of KazakhstanPh.D., School of Creative Industries, Astana IT University, Kazakhstan.Ph.D., School of Creative Industries, Astana IT University, Kazakhstan.Mgr., School of Creative Industries, Astana IT University, Kazakhstan.This study explores the integration of artificial intelligence (AI) into project management through a bibliometric analysis of scholarly publications and patents from 2001 to 2024. The paper aims to identify key trends, emerging applications, and global contributions to this evolving field. The study analyzes 51,752 patents from Lens, 5.5 million scholarly records from Google Scholar, and 436,380 records from Web of Science, providing a comprehensive overview of AI’s impact on project management. The analysis maps the evolution of AI-driven project management practices, focusing on resource allocation, risk management, and scheduling optimization. The findings reveal a substantial increase in AI-related project management research, with China and the United States leading in research output. A notable surge in publications post-2019 suggests acceleration due to the COVID-19 pandemic and the growing demand for digital transformation in project execution. Despite the rising adoption of AI in project management, research gaps persist, particularly in interdisciplinary methodologies, practical AI applications, and ethical concerns related to algorithmic decision-making. This study contributes to understanding AI’s transformative role in project management and highlights future research directions to enhance AI adoption for improved efficiency, decision-making, and project performance. The findings underscore the need for continued exploration of interdisciplinary approaches, practical implementations, and ethical considerations to foster innovation and efficiency in AI-driven project management.https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/22002/PPM_2025_02_Ibadildin.pdfAI-driven decision-makingCOVID-19digital collaborationethical considerationsmachine learningproductivity enhancement |
| spellingShingle | Nurkhat Ibadildin Zhaxat Kenzhin Gaukhar Yeshenkulova Rymkul Ismailova Assel Nurguzhina Samalgul Nassanbekova Aiman Kadyrova Artificial intelligence in project management: A bibliometric analysis Problems and Perspectives in Management AI-driven decision-making COVID-19 digital collaboration ethical considerations machine learning productivity enhancement |
| title | Artificial intelligence in project management: A bibliometric analysis |
| title_full | Artificial intelligence in project management: A bibliometric analysis |
| title_fullStr | Artificial intelligence in project management: A bibliometric analysis |
| title_full_unstemmed | Artificial intelligence in project management: A bibliometric analysis |
| title_short | Artificial intelligence in project management: A bibliometric analysis |
| title_sort | artificial intelligence in project management a bibliometric analysis |
| topic | AI-driven decision-making COVID-19 digital collaboration ethical considerations machine learning productivity enhancement |
| url | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/22002/PPM_2025_02_Ibadildin.pdf |
| work_keys_str_mv | AT nurkhatibadildin artificialintelligenceinprojectmanagementabibliometricanalysis AT zhaxatkenzhin artificialintelligenceinprojectmanagementabibliometricanalysis AT gaukharyeshenkulova artificialintelligenceinprojectmanagementabibliometricanalysis AT rymkulismailova artificialintelligenceinprojectmanagementabibliometricanalysis AT asselnurguzhina artificialintelligenceinprojectmanagementabibliometricanalysis AT samalgulnassanbekova artificialintelligenceinprojectmanagementabibliometricanalysis AT aimankadyrova artificialintelligenceinprojectmanagementabibliometricanalysis |