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Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030
Journal of Innovation & Knowledge, Volume: 10, Issue: 5, Start page: 100772
Swansea University Authors:
Tegwen Malik , Yogesh Dwivedi
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DOI (Published version): 10.1016/j.jik.2025.100772
Abstract
The project management profession is undergoing transformative change with the integration of Artificial Intelligence (AI), prompting a shift toward embedding environmental sustainability within core methodologies. As societal expectations grow and technological complexity increases, project manager...
| Published in: | Journal of Innovation & Knowledge |
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| ISSN: | 2444-569X |
| Published: |
Elsevier BV
2025
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69967 |
| first_indexed |
2025-07-15T10:25:46Z |
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| last_indexed |
2025-09-30T08:55:05Z |
| id |
cronfa69967 |
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As societal expectations grow and technological complexity increases, project managers face unprecedented challenges. By 2030, AI-driven predictive insights and modelling capabilities are expected to significantly enhance efficiency and sustainability, raising critical questions about the evolving role of human project managers. Will AI take the lead in key decision-making, or will human traits such as creativity, ethical judgment, and emotional intelligence remain essential? Framed as PM2030, this study explores future scenarios through expert insights from academia and practice. Employing an opinion-based approach, we introduce the AI Augmented Ethics-Centric Model, and the Predictive Model for AI Adoption and Human Trust. These models inform a future vision of project management shaped by automation, ethics, and human-AI collaboration. 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2025-09-29T16:00:37.4701025 v2 69967 2025-07-15 Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030 d7e74f3c3979dff2baba1a16fe50e24a 0000-0003-4315-5726 Tegwen Malik Tegwen Malik true false d154596e71b99ad1285563c8fdd373d7 Yogesh Dwivedi Yogesh Dwivedi true false 2025-07-15 CBAE The project management profession is undergoing transformative change with the integration of Artificial Intelligence (AI), prompting a shift toward embedding environmental sustainability within core methodologies. As societal expectations grow and technological complexity increases, project managers face unprecedented challenges. By 2030, AI-driven predictive insights and modelling capabilities are expected to significantly enhance efficiency and sustainability, raising critical questions about the evolving role of human project managers. Will AI take the lead in key decision-making, or will human traits such as creativity, ethical judgment, and emotional intelligence remain essential? Framed as PM2030, this study explores future scenarios through expert insights from academia and practice. Employing an opinion-based approach, we introduce the AI Augmented Ethics-Centric Model, and the Predictive Model for AI Adoption and Human Trust. These models inform a future vision of project management shaped by automation, ethics, and human-AI collaboration. This study contributes to a growing discourse on the human-centric evolution of AI-enabled project management. Journal Article Journal of Innovation & Knowledge 10 5 100772 Elsevier BV 2444-569X Project management; Artificial intelligence; Sustainability; Resilience; Ethics JEL Code M0; 03; Z0 10 9 2025 2025-09-10 10.1016/j.jik.2025.100772 COLLEGE NANME Management School COLLEGE CODE CBAE Swansea University Other 2025-09-29T16:00:37.4701025 2025-07-15T11:21:35.8686880 Faculty of Humanities and Social Sciences School of Management - Business Management Laurie Hughes 0000-0002-0956-0608 1 Reza Kiani Mavi 2 Masoud Aghajani 0000-0002-0776-3145 3 Keith Fitzpatrick 4 Senali Madugoda Gunaratnege 5 Seyed Ashkan Hosseini Shekarabi 6 Richard Hughes 0000-0001-6268-5648 7 Ahmad Khanfar 8 Ahdieh Khatavakhotan 9 Neda Kiani Mavi 10 Keyao Li 11 Moataz Mahmoud 12 Tegwen Malik 0000-0003-4315-5726 13 Sashah Mutasa 14 Farzaneh Nafar 15 Ross Yates 16 Rasha Alahmad 17 Il Jeon 18 Yogesh Dwivedi 19 69967__35202__61ff8a765a54497487e320eef6647c8d.pdf 69967.VoR.pdf 2025-09-29T15:58:00.3968061 Output 5264666 application/pdf Version of Record true © 2025 The Authors. This is an open access article under the CC BY license. true eng http://creativecommons.org/licenses/by/4.0/ |
| title |
Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030 |
| spellingShingle |
Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030 Tegwen Malik Yogesh Dwivedi |
| title_short |
Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030 |
| title_full |
Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030 |
| title_fullStr |
Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030 |
| title_full_unstemmed |
Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030 |
| title_sort |
Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030 |
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d7e74f3c3979dff2baba1a16fe50e24a d154596e71b99ad1285563c8fdd373d7 |
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d7e74f3c3979dff2baba1a16fe50e24a_***_Tegwen Malik d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi |
| author |
Tegwen Malik Yogesh Dwivedi |
| author2 |
Laurie Hughes Reza Kiani Mavi Masoud Aghajani Keith Fitzpatrick Senali Madugoda Gunaratnege Seyed Ashkan Hosseini Shekarabi Richard Hughes Ahmad Khanfar Ahdieh Khatavakhotan Neda Kiani Mavi Keyao Li Moataz Mahmoud Tegwen Malik Sashah Mutasa Farzaneh Nafar Ross Yates Rasha Alahmad Il Jeon Yogesh Dwivedi |
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Journal of Innovation & Knowledge |
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Swansea University |
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2444-569X |
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10.1016/j.jik.2025.100772 |
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Elsevier BV |
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Faculty of Humanities and Social Sciences |
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School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management |
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The project management profession is undergoing transformative change with the integration of Artificial Intelligence (AI), prompting a shift toward embedding environmental sustainability within core methodologies. As societal expectations grow and technological complexity increases, project managers face unprecedented challenges. By 2030, AI-driven predictive insights and modelling capabilities are expected to significantly enhance efficiency and sustainability, raising critical questions about the evolving role of human project managers. Will AI take the lead in key decision-making, or will human traits such as creativity, ethical judgment, and emotional intelligence remain essential? Framed as PM2030, this study explores future scenarios through expert insights from academia and practice. Employing an opinion-based approach, we introduce the AI Augmented Ethics-Centric Model, and the Predictive Model for AI Adoption and Human Trust. These models inform a future vision of project management shaped by automation, ethics, and human-AI collaboration. This study contributes to a growing discourse on the human-centric evolution of AI-enabled project management. |
| published_date |
2025-09-10T05:31:35Z |
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11.096068 |

