No Cover Image

Journal article 1074 views 761 downloads

Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030

Laurie Hughes Orcid Logo, Reza Kiani Mavi, Masoud Aghajani Orcid Logo, Keith Fitzpatrick, Senali Madugoda Gunaratnege, Seyed Ashkan Hosseini Shekarabi, Richard Hughes Orcid Logo, Ahmad Khanfar, Ahdieh Khatavakhotan, Neda Kiani Mavi, Keyao Li, Moataz Mahmoud, Tegwen Malik Orcid Logo, Sashah Mutasa, Farzaneh Nafar, Ross Yates, Rasha Alahmad, Il Jeon, Yogesh Dwivedi

Journal of Innovation & Knowledge, Volume: 10, Issue: 5, Start page: 100772

Swansea University Authors: Tegwen Malik Orcid Logo, Yogesh Dwivedi

  • 69967.VoR.pdf

    PDF | Version of Record

    © 2025 The Authors. This is an open access article under the CC BY license.

    Download (5.02MB)

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...

Full description

Published in: Journal of Innovation & Knowledge
ISSN: 2444-569X
Published: Elsevier BV 2025
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa69967
first_indexed 2025-07-15T10:25:46Z
last_indexed 2025-09-30T08:55:05Z
id cronfa69967
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2025-09-29T16:00:37.4701025</datestamp><bib-version>v2</bib-version><id>69967</id><entry>2025-07-15</entry><title>Impact of artificial intelligence on project management (PM): Multi-expert perspectives on advancing knowledge and driving innovation toward PM2030</title><swanseaauthors><author><sid>d7e74f3c3979dff2baba1a16fe50e24a</sid><ORCID>0000-0003-4315-5726</ORCID><firstname>Tegwen</firstname><surname>Malik</surname><name>Tegwen Malik</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d154596e71b99ad1285563c8fdd373d7</sid><firstname>Yogesh</firstname><surname>Dwivedi</surname><name>Yogesh Dwivedi</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2025-07-15</date><deptcode>CBAE</deptcode><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 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.</abstract><type>Journal Article</type><journal>Journal of Innovation &amp;amp; Knowledge</journal><volume>10</volume><journalNumber>5</journalNumber><paginationStart>100772</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2444-569X</issnPrint><issnElectronic/><keywords>Project management; Artificial intelligence; Sustainability; Resilience; Ethics JEL Code M0; 03; Z0</keywords><publishedDay>10</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2025</publishedYear><publishedDate>2025-09-10</publishedDate><doi>10.1016/j.jik.2025.100772</doi><url/><notes/><college>COLLEGE NANME</college><department>Management School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>CBAE</DepartmentCode><institution>Swansea University</institution><apcterm>Other</apcterm><funders/><projectreference/><lastEdited>2025-09-29T16:00:37.4701025</lastEdited><Created>2025-07-15T11:21:35.8686880</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Laurie</firstname><surname>Hughes</surname><orcid>0000-0002-0956-0608</orcid><order>1</order></author><author><firstname>Reza Kiani</firstname><surname>Mavi</surname><order>2</order></author><author><firstname>Masoud</firstname><surname>Aghajani</surname><orcid>0000-0002-0776-3145</orcid><order>3</order></author><author><firstname>Keith</firstname><surname>Fitzpatrick</surname><order>4</order></author><author><firstname>Senali Madugoda</firstname><surname>Gunaratnege</surname><order>5</order></author><author><firstname>Seyed Ashkan Hosseini</firstname><surname>Shekarabi</surname><order>6</order></author><author><firstname>Richard</firstname><surname>Hughes</surname><orcid>0000-0001-6268-5648</orcid><order>7</order></author><author><firstname>Ahmad</firstname><surname>Khanfar</surname><order>8</order></author><author><firstname>Ahdieh</firstname><surname>Khatavakhotan</surname><order>9</order></author><author><firstname>Neda Kiani</firstname><surname>Mavi</surname><order>10</order></author><author><firstname>Keyao</firstname><surname>Li</surname><order>11</order></author><author><firstname>Moataz</firstname><surname>Mahmoud</surname><order>12</order></author><author><firstname>Tegwen</firstname><surname>Malik</surname><orcid>0000-0003-4315-5726</orcid><order>13</order></author><author><firstname>Sashah</firstname><surname>Mutasa</surname><order>14</order></author><author><firstname>Farzaneh</firstname><surname>Nafar</surname><order>15</order></author><author><firstname>Ross</firstname><surname>Yates</surname><order>16</order></author><author><firstname>Rasha</firstname><surname>Alahmad</surname><order>17</order></author><author><firstname>Il</firstname><surname>Jeon</surname><order>18</order></author><author><firstname>Yogesh</firstname><surname>Dwivedi</surname><order>19</order></author></authors><documents><document><filename>69967__35202__61ff8a765a54497487e320eef6647c8d.pdf</filename><originalFilename>69967.VoR.pdf</originalFilename><uploaded>2025-09-29T15:58:00.3968061</uploaded><type>Output</type><contentLength>5264666</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2025 The Authors. This is an open access article under the CC BY license.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 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 &amp; 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
author_id_str_mv d7e74f3c3979dff2baba1a16fe50e24a
d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv 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
format Journal article
container_title Journal of Innovation &amp; Knowledge
container_volume 10
container_issue 5
container_start_page 100772
publishDate 2025
institution Swansea University
issn 2444-569X
doi_str_mv 10.1016/j.jik.2025.100772
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
document_store_str 1
active_str 0
description 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
_version_ 1856896285097852928
score 11.096068