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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#467886" vlink="#96607D" style='word-wrap:break-word'><div class=WordSection1><p class=MsoNormal><b><span style='font-size:11.0pt'>The Transformative Power of Artificial Intelligence (AI) on Project Management Work Environments<o:p></o:p></span></b></p><p class=MsoNormal><span style='font-size:11.0pt'>This special issue focuses on the profound impacts of AI on project management, particularly on the planning, execution, and monitoring of projects and programs, and the consequent implications for project organizations, human resources, and society as a whole. The special issue builds on previous editorials outlining avenues for academic and practitioner developments in the area of AI and project management <w:Sdt DocPart="E809754387B24E62B02ED98E41DA1824" SdtTag="MENDELEY_CITATION_v3_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" ID="1580246745">(Geraldi et al., 2024; Müller et al., 2024)</w:Sdt>.<o:p></o:p></span></p><p class=MsoNormal><b><u><span style='font-size:11.0pt'><o:p><span style='text-decoration:none'> </span></o:p></span></u></b></p><p class=MsoNormal><b><u><span style='font-size:11.0pt'>Guest editors</span></u></b><span style='font-size:11.0pt'> (see <a href="#_Appendix:_Guest_Editors">Appendix</a><u> A</u>):<o:p></o:p></span></p><p class=MsoNormal><b><span style='font-size:11.0pt'>Vered Holzmann</span></b><span style='font-size:11.0pt'>, School of Management and Economics, The Academic College of Tel Aviv-Yaffo.<o:p></o:p></span></p><p class=MsoNormal><b><span style='font-size:11.0pt'>Hila Chalutz-Ben Gal</span></b><span style='font-size:11.0pt'>, Faculty of Engineering, Bar-Ilan University.<o:p></o:p></span></p><p class=MsoNormal><b><span style='font-size:11.0pt'>Alessandro Margherita</span></b><span style='font-size:11.0pt'>, Department of Engineering for Innovation, University of Salento.<o:p></o:p></span></p><p class=MsoNormal><b><span style='font-size:11.0pt'>Cecil Eng Huang Chua</span></b><span style='font-size:11.0pt'>, Department of Business and Information Technology, Missouri University of Science and Technology, Rolla, MO 65409, USA<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><b><u><span style='font-size:11.0pt'>Aim and Scope:<o:p></o:p></span></u></b></p><p class=MsoNormal><span style='font-size:11.0pt'>Over the past decade, AI capabilities have significantly advanced, fundamentally changing how we interact with technology and impacting the future of work and society <w:Sdt DocPart="9176E2DAAE06433E9C92C48E48D73336" SdtTag="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" ID="-1717344380">(Agrawal et al., 2022; Arslan et al., 2022; Gruetzemacher & Whittlestone, 2022; Sharma, 2023)</w:Sdt>. AI is now driving change in many sectors, including project management. Projects are often seen as 'agents of change' <w:Sdt DocPart="E809754387B24E62B02ED98E41DA1824" SdtTag="MENDELEY_CITATION_v3_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" ID="-421646033">(Huemann, 2022; Locatelli et al., 2023)</w:Sdt> and AI and digital systems offer powerful opportunities to enhance how projects are managed and executed, especially in a scenario of increasing project complexity <w:Sdt DocPart="E809754387B24E62B02ED98E41DA1824" SdtTag="MENDELEY_CITATION_v3_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" ID="474265178">(Elia et al., 2021; PMI, 2024b, 2024c; Secundo et al., 2022)</w:Sdt>. AI affects various aspects of project management, including project selection, prioritization, definition, planning, reporting, and virtual assistance. It also introduces new roles for project managers. Research suggests that AI will profoundly impact the project management profession, raising questions about job displacement and workforce transformation <w:Sdt DocPart="E809754387B24E62B02ED98E41DA1824" SdtTag="MENDELEY_CITATION_v3_eyJjaXRhdGlvbklEIjoiTUVOREVMRVlfQ0lUQVRJT05fNGI5MDI3MTktNjQzOS00MjUzLTkxYTItYzczNzRlZmMwNjE4IiwicHJvcGVydGllcyI6eyJub3RlSW5kZXgiOjB9LCJpc0VkaXRlZCI6ZmFsc2UsIm1hbnVhbE92ZXJyaWRlIjp7ImlzTWFudWFsbHlPdmVycmlkZGVuIjpmYWxzZSwiY2l0ZXByb2NUZXh0IjoiKE5pZXRvLVJvZHJpZ3VleiAmIzM4OyBWYXJnYXMsIDIwMjM7IFN0YW5nLCAyMDIwOyBTdmFuYmVyZyBldCBhbC4sIDIwMjQpIiwibWFudWFsT3ZlcnJpZGVUZXh0IjoiIn0sImNpdGF0aW9uSXRlbXMiOlt7ImlkIjoiYTJiZDFkZWMtYTUxNy0zZjgzLTkwZmQtNzljNmUwNzlkY2EwIiwiaXRlbURhdGEiOnsidHlwZSI6ImFydGljbGUtam91cm5hbCIsImlkIjoiYTJiZDFkZWMtYTUxNy0zZjgzLTkwZmQtNzljNmUwNzlkY2EwIiwidGl0bGUiOiJCZXlvbmQgQUkgRXhwb3N1cmU6IFdoaWNoIFRhc2tzIGFyZSBDb3N0LUVmZmVjdGl2ZSB0byBBdXRvbWF0ZSB3aXRoIENvbXB1dGVyIFZpc2lvbj8iLCJhdXRob3IiOlt7ImZhbWlseSI6IlN2YW5iZXJnIiwiZ2l2ZW4iOiJNYWphIiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9LHsiZmFtaWx5IjoiTGkiLCJnaXZlbiI6IldlbnN1IiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9LHsiZmFtaWx5IjoiRmxlbWluZyIsImdpdmVuIjoiTWFydGluIiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9LHsiZmFtaWx5IjoiR29laHJpbmciLCJnaXZlbiI6IkJyaWFuIiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9LHsiZmFtaWx5IjoiVGhvbXBzb24iLCJnaXZlbiI6Ik5laWwiLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn1dLCJjb250YWluZXItdGl0bGUiOiJBdmFpbGFibGUgYXQgU1NSTiA0NzAwNzUxIiwiaXNzdWVkIjp7ImRhdGUtcGFydHMiOltbMjAyNF1dfSwiY29udGFpbmVyLXRpdGxlLXNob3J0IjoiIn0sImlzVGVtcG9yYXJ5IjpmYWxzZX0seyJpZCI6ImRkMmFiNjg0LTVkZTctMzBmMy05OTY3LTBkZmJhMmZiOWEwZSIsIml0ZW1EYXRhIjp7InR5cGUiOiJyZXBvcnQiLCJpZCI6ImRkMmFiNjg0LTVkZTctMzBmMy05OTY3LTBkZmJhMmZiOWEwZSIsInRpdGxlIjoiSG93IEFJIHdpbGwgcmVpbnZlbnQgcHJvZ3JhbSBhbmQgcG9ydGZvbGlvIG1hbmFnZW1lbnQiLCJhdXRob3IiOlt7ImZhbWlseSI6IlN0YW5nIiwiZ2l2ZW4iOiJEYW5pZWwiLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn1dLCJpc3N1ZWQiOnsiZGF0ZS1wYXJ0cyI6W1syMDIwXV19LCJwdWJsaXNoZXIiOiJGaW5hbmNpYWwgYW5hbHlzaXMsIEdhcnRuZXIgSW5zaWdodHMuIGh0dHBzOi8vd3d3LiBnYXJ0bmVyLiBjb20vZG9jdW1lbnQvMzg5NDY2NiIsImNvbnRhaW5lci10aXRsZS1zaG9ydCI6IiJ9LCJpc1RlbXBvcmFyeSI6ZmFsc2V9LHsiaWQiOiI5ODljNmUzNy0yOGUyLTMzZjEtOWU0Yi1jNzg2Yjg1MzMzYmMiLCJpdGVtRGF0YSI6eyJ0eXBlIjoiYXJ0aWNsZS1qb3VybmFsIiwiaWQiOiI5ODljNmUzNy0yOGUyLTMzZjEtOWU0Yi1jNzg2Yjg1MzMzYmMiLCJ0aXRsZSI6IkhvdyBBSSB3aWxsIHRyYW5zZm9ybSBwcm9qZWN0IG1hbmFnZW1lbnQiLCJhdXRob3IiOlt7ImZhbWlseSI6Ik5pZXRvLVJvZHJpZ3VleiIsImdpdmVuIjoiQW50b25pbyIsInBhcnNlLW5hbWVzIjpmYWxzZSwiZHJvcHBpbmctcGFydGljbGUiOiIiLCJub24tZHJvcHBpbmctcGFydGljbGUiOiIifSx7ImZhbWlseSI6IlZhcmdhcyIsImdpdmVuIjoiUmljYXJkbyIsInBhcnNlLW5hbWVzIjpmYWxzZSwiZHJvcHBpbmctcGFydGljbGUiOiJWIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn1dLCJjb250YWluZXItdGl0bGUiOiJIYXJ2YXJkIEJ1c2luZXNzIFJldmlldyIsImNvbnRhaW5lci10aXRsZS1zaG9ydCI6IkhhcnYgQnVzIFJldiIsImlzc3VlZCI6eyJkYXRlLXBhcnRzIjpbWzIwMjNdXX19LCJpc1RlbXBvcmFyeSI6ZmFsc2V9XX0=" ID="470949499">(Nieto-Rodriguez & Vargas, 2023; Stang, 2020; Svanberg et al., 2024)</w:Sdt>.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>AI is not new, and established AI techniques are well integrated into project domains including scheduling, budgeting, procurement, risk management, and quality management <w:Sdt DocPart="E703B93270B5499E90C4A02198190FB8" SdtTag="MENDELEY_CITATION_v3_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ID="1684778848">(Bento et al., 2022; Borges et al., 2021; Hashfi & Raharjo, 2023; Martínez & Fernández-Rodríguez, 2015; Taboada et al., 2023)</w:Sdt>. However, emerging AI developments are going beyond these improvements to transform project management practices on a broader scale <w:Sdt DocPart="9F6099203BF54A7C822BB531991BFCAD" SdtTag="MENDELEY_CITATION_v3_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ID="1869787097">(Holzmann et al., 2022; Kanbach et al., 2024; Müller et al., 2024; Niederman, 2021; PMI, 2024c, 2024b)</w:Sdt>. AI is expected to play a major role in managing complex adaptive systems, decision-making, and organizational change, requiring the establishment of AI training programs and the encouragement of technology assimilation across all levels of the organization <w:Sdt DocPart="C73E56E9D3D341E69689D05B9EB79403" SdtTag="MENDELEY_CITATION_v3_eyJjaXRhdGlvbklEIjoiTUVOREVMRVlfQ0lUQVRJT05fYzdkMDAxM2QtNmYyZi00YTNhLWFjNWYtZDVlZDI3MDI4YzdjIiwicHJvcGVydGllcyI6eyJub3RlSW5kZXgiOjB9LCJpc0VkaXRlZCI6ZmFsc2UsIm1hbnVhbE92ZXJyaWRlIjp7ImlzTWFudWFsbHlPdmVycmlkZGVuIjp0cnVlLCJjaXRlcHJvY1RleHQiOiIoRG9ub3ZhbiwgMjAyNDsgR29rY2UsIDIwMjM7IE9icmFkb3ZpxIcgUG9zaW5rb3ZpxIcgJiMzODsgVmxhaG92IEdvbG9tZWppxIcsIDIwMjQ7IFJhbmdlciwgMjAyNCkiLCJtYW51YWxPdmVycmlkZVRleHQiOiJvZiAoRG9ub3ZhbiwgMjAyNDsgR29rY2UsIDIwMjM7IE9icmFkb3ZpxIcgUG9zaW5rb3ZpxIcgJiBWbGFob3YgR29sb21lamnEhywgMjAyNDsgUmFuZ2VyLCAyMDI0KSJ9LCJjaXRhdGlvbkl0ZW1zIjpbeyJpZCI6IjBkMmRlYWE4LWEyYTAtM2YyZC05Nzk1LTkyN2E1ZGY3YTk2ZiIsIml0ZW1EYXRhIjp7InR5cGUiOiJwYXBlci1jb25mZXJlbmNlIiwiaWQiOiIwZDJkZWFhOC1hMmEwLTNmMmQtOTc5NS05MjdhNWRmN2E5NmYiLCJ0aXRsZSI6IlRoZSBSZWxldmFuY2Ugb2YgQXJ0aWZpY2lhbCBJbnRlbGxpZ2VuY2UgaW4gUHJvamVjdCBNYW5hZ2VtZW50IiwiYXV0aG9yIjpbeyJmYW1pbHkiOiJPYnJhZG92acSHIFBvc2lua292acSHIiwiZ2l2ZW4iOiJUZW5hIiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9LHsiZmFtaWx5IjoiVmxhaG92IEdvbG9tZWppxIciLCJnaXZlbiI6IlJlYmVrYSBEIiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9XSwiY29udGFpbmVyLXRpdGxlIjoiSW5ub3ZhdGl2ZSBNZXRob2RzIGluIENvbXB1dGVyIFNjaWVuY2UgYW5kIENvbXB1dGF0aW9uYWwgQXBwbGljYXRpb25zIGluIHRoZSBFcmEgb2YgSW5kdXN0cnkgNS4wIiwiZWRpdG9yIjpbeyJmYW1pbHkiOiJIZW1hbnRoIiwiZ2l2ZW4iOiJEIEp1ZGUiLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn0seyJmYW1pbHkiOiJLb3NlIiwiZ2l2ZW4iOiJVdGt1IiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9LHsiZmFtaWx5IjoiUGF0cnV0IiwiZ2l2ZW4iOiJCb2dkYW4iLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn0seyJmYW1pbHkiOiJFcnNveSIsImdpdmVuIjoiTWV2bHV0IiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9XSwiSVNCTiI6Ijk3OC0zLTAzMS01NjMyMi01IiwiaXNzdWVkIjp7ImRhdGUtcGFydHMiOltbMjAyNF1dfSwicHVibGlzaGVyLXBsYWNlIjoiQ2hhbSIsInBhZ2UiOiI4OC05OSIsImFic3RyYWN0IjoiQXJ0aWZpY2lhbCBJbnRlbGxpZ2VuY2UgKEFJKSBhbmQgaXRzIHVuZGVybHlpbmcgbWV0aG9kb2xvZ2llcywgc3VjaCBhcyBnZW5ldGljIGFsZ29yaXRobXMsIGZ1enp5IGxvZ2ljIGFuZCBuZXVyYWwgbmV0d29ya3MgaGF2ZSB0YWtlbiBhIHByb21pbmVudCBwbGFjZSBpbiB0aGUgdHJhbnNmb3JtYXRpb24gb2Ygb3JnYW5pemF0aW9uYWwgcHJhY3RpY2VzLCB0aHVzIGFsc28gYmVjb21pbmcgaW5kaXNwZW5zYWJsZSBjb21wb25lbnRzIGluIHByb2plY3RzIGFuZCBwcm9qZWN0LW9yaWVudGVkIG9yZ2FuaXphdGlvbnMgYnkgZW5hYmxpbmcgYXV0b21hdGlvbiBvZiByZXBldGl0aXZlIHRhc2tzLCBhY2NlbGVyYXRpbmcgcHJvZHVjdGl2aXR5IGFuZCBlbnN1cmluZyBzdHJhdGVnaWMgZGlyZWN0aW9uIGluIGFjaGlldmVtZW50IG9mIHByb2plY3QgZ29hbHMgYW5kIGVuaGFuY2luZyBvdmVyYWxsIHByb2plY3QgcGVyZm9ybWFuY2UuIFRvIGV4YW1pbmUgdGhlIGV4dGVudCBvZiBhcHBsaWNhdGlvbiBhbmQgcmVsZXZhbmNlIG9mIEFydGlmaWNpYWwgSW50ZWxsaWdlbmNlIGluIHByb2plY3QgbWFuYWdlbWVudCwgdGhlIGF1dGhvcnMgY29uZHVjdGVkIGEgY29tcHJlaGVuc2l2ZSBsaXRlcmF0dXJlIHJldmlldyBvbiAxMDUgYWNhZGVtaWMgYXJ0aWNsZXMgcHVibGlzaGVkIGJldHdlZW4gMTk5NCBhbmQgMjAyMyBhbmQgaW5kZXhlZCBpbiB0aGUgV2ViIG9mIFNjaWVuY2UgZGF0YWJhc2UuIEEgYmlibGlvbWV0cmljIGFuYWx5c2lzIGJhc2VkIG9uIGtleXdvcmRzIGNvLW9jY3VycmVuY2UgYWxvbmcgd2l0aCB2aXN1YWwgcmVwcmVzZW50YXRpb24gb2YgaW50ZXJjb25uZWN0ZWQgZGF0YSB3YXMgdXNlZC4gVGhlIG9idGFpbmVkIHJlc3VsdHMgaW5kaWNhdGUga2V5IHJlc2VhcmNoIHRyZW5kcyBpbiB0aGUgZmllbGQsIHdoaWNoIGluY2x1ZGUgcHJvamVjdCBtYW5hZ2VtZW50IGFuZCB0ZWNobm9sb2dpZXMgd2l0aGluIEFJLCBvcHRpbWl6YXRpb24gb2YgcHJvamVjdCBwZXJmb3JtYW5jZSwgYXBwbGljYXRpb24gb2YgbmV1cmFsIG5ldHdvcmtzLCBhbmQgZm9yZWNhc3RpbmcgcHJvamVjdCBzdWNjZXNzIHdpdGggdGhlIGhlbHAgb2YgQUkuIEFkZGl0aW9uYWxseSwgdGhlIHJlc3VsdHMgcG9pbnQgdG8gbmV3IGRpcmVjdGlvbnMgYW5kIGhpZ2hsaWdodCB0aGF0IHByb2plY3QgbWFuYWdlcnMgc2hvdWxkIGZvY3VzIG9uIGFkZHJlc3NpbmcgYmFycmllcnMgdG8gQUkgYWRvcHRpb24sIG1hbmFnaW5nIGNvbXBsZXggYWRhcHRpdmUgc3lzdGVtcywgaW50ZXJwcmV0aW5nIGRhdGEgcHJvdmlkZWQgYnkgdGhlIHN5c3RlbSwgbWFraW5nIGRlY2lzaW9ucyBhbmQgbWFuYWdpbmcgY2hhbmdlLCBlc3RhYmxpc2hpbmcgY29tcHJlaGVuc2l2ZSBBSSB0cmFpbmluZyBwcm9ncmFtcywgYW5kIGZhY2lsaXRhdGluZyBwcm9ncmVzcyB0b2dldGhlciB3aXRoIHByb21vdGluZyBvcGVuIHN0cmF0ZWdpZXMgdG8gZW5jb3VyYWdlIHRlY2hub2xvZ3kgYXNzaW1pbGF0aW9uIGFtb25nIGVtcGxveWVlcy4iLCJwdWJsaXNoZXIiOiJTcHJpbmdlciBOYXR1cmUgU3dpdHplcmxhbmQiLCJjb250YWluZXItdGl0bGUtc2hvcnQiOiIifSwiaXNUZW1wb3JhcnkiOmZhbHNlfSx7ImlkIjoiZTllZjI1MDQtMDI0Yi0zMWVkLTlhMTItZmViYzBjNjAyNDI5IiwiaXRlbURhdGEiOnsidHlwZSI6IndlYnBhZ2UiLCJpZCI6ImU5ZWYyNTA0LTAyNGItMzFlZC05YTEyLWZlYmMwYzYwMjQyOSIsInRpdGxlIjoiRGV2ZWxvcGVycyB3aXRoIEFJIGFzc2lzdGFudHMgbmVlZCB0byBmb2xsb3cgdGhlIHBhaXIgcHJvZ3JhbW1pbmcgbW9kZWwiLCJhdXRob3IiOlt7ImZhbWlseSI6IkRvbm92YW4iLCJnaXZlbiI6IlJ5YW4iLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn1dLCJhY2Nlc3NlZCI6eyJkYXRlLXBhcnRzIjpbWzIwMjQsOCwzMF1dfSwiVVJMIjoiaHR0cHM6Ly9zdGFja292ZXJmbG93LmJsb2cvMjAyNC8wNC8wMy9kZXZlbG9wZXJzLXdpdGgtYWktYXNzaXN0YW50cy1uZWVkLXRvLWZvbGxvdy10aGUtcGFpci1wcm9ncmFtbWluZy1tb2RlbC8iLCJpc3N1ZWQiOnsiZGF0ZS1wYXJ0cyI6W1syMDI0LDQsMjNdXX0sImNvbnRhaW5lci10aXRsZS1zaG9ydCI6IiJ9LCJpc1RlbXBvcmFyeSI6ZmFsc2V9LHsiaWQiOiJjNGVlZGZmZC03ZmJmLTM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ID="-1418557976">of (Donovan, 2024; Gokce, 2023; Obradović Posinković & Vlahov Golomejić, 2024; Ranger, 2024)</w:Sdt>. Yet, the potential benefits of AI come with ethical and moral concerns, particularly around job transformation, data privacy, bias in algorithms, and potential misuse of AI <w:Sdt DocPart="C07973EC065D494F900DD77B99E67A8A" SdtTag="MENDELEY_CITATION_v3_eyJjaXRhdGlvbklEIjoiTUVOREVMRVlfQ0lUQVRJT05fYTUzZTAxODEtZjE5NS00NGZjLWE0NGQtZDYzMjVjOTg2NzVlIiwicHJvcGVydGllcyI6eyJub3RlSW5kZXgiOjB9LCJpc0VkaXRlZCI6ZmFsc2UsIm1hbnVhbE92ZXJyaWRlIjp7ImlzTWFudWFsbHlPdmVycmlkZGVuIjpmYWxzZSwiY2l0ZXByb2NUZXh0IjoiKEJyeXNvbiwgMjAyMDsgRXR6aW9uaSAmIzM4OyBFdHppb25pLCAyMDE3OyBTaGF3LCAyMDE5KSIsIm1hbnVhbE92ZXJyaWRlVGV4dCI6IiJ9LCJjaXRhdGlvbkl0ZW1zIjpbeyJpZCI6ImMyYmJjZDVhLWZjZWItMzMxNC04NzBmLTFmMDQ5YWQzZThjYyIsIml0ZW1EYXRhIjp7InR5cGUiOiJhcnRpY2xlLWpvdXJuYWwiLCJpZCI6ImMyYmJjZDVhLWZjZWItMzMxNC04NzBmLTFmMDQ5YWQzZThjYyIsInRpdGxlIjoiVGhlIGFydGlmaWNpYWwgaW50ZWxsaWdlbmNlIG9mIHRoZSBldGhpY3Mgb2YgYXJ0aWZpY2lhbCBpbnRlbGxpZ2VuY2UiLCJhdXRob3IiOlt7ImZhbWlseSI6IkJyeXNvbiIsImdpdmVuIjoiSm9hbm5hIEoiLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn1dLCJjb250YWluZXItdGl0bGUiOiJUaGUgT3hmb3JkIGhhbmRib29rIG9mIGV0aGljcyBvZiBBSSIsIklTU04iOiIwMTkwMDY3NDAzIiwiaXNzdWVkIjp7ImRhdGUtcGFydHMiOltbMjAyMF1dfSwicGFnZSI6IjEiLCJwdWJsaXNoZXIiOiJPeGZvcmQgVW5pdmVyc2l0eSBQcmVzcyBOZXcgWW9yaywgTlkiLCJjb250YWluZXItdGl0bGUtc2hvcnQiOiIifSwiaXNUZW1wb3JhcnkiOmZhbHNlfSx7ImlkIjoiNGY2M2EwNjEtZGRjZC0zMGIxLWExMmYtYjQwNzYwYmFiZTg1IiwiaXRlbURhdGEiOnsidHlwZSI6ImFydGljbGUtam91cm5hbCIsImlkIjoiNGY2M2EwNjEtZGRjZC0zMGIxLWExMmYtYjQwNzYwYmFiZTg1IiwidGl0bGUiOiJJbmNvcnBvcmF0aW5nIGV0aGljcyBpbnRvIGFydGlmaWNpYWwgaW50ZWxsaWdlbmNlIiwiYXV0aG9yIjpbeyJmYW1pbHkiOiJFdHppb25pIiwiZ2l2ZW4iOiJBbWl0YWkiLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn0seyJmYW1pbHkiOiJFdHppb25pIiwiZ2l2ZW4iOiJPcmVuIiwicGFyc2UtbmFtZXMiOmZhbHNlLCJkcm9wcGluZy1wYXJ0aWNsZSI6IiIsIm5vbi1kcm9wcGluZy1wYXJ0aWNsZSI6IiJ9XSwiY29udGFpbmVyLXRpdGxlIjoiVGhlIEpvdXJuYWwgb2YgRXRoaWNzIiwiY29udGFpbmVyLXRpdGxlLXNob3J0IjoiSiBFdGhpY3MiLCJJU1NOIjoiMTM4Mi00NTU0IiwiaXNzdWVkIjp7ImRhdGUtcGFydHMiOltbMjAxN11dfSwicGFnZSI6IjQwMy00MTgiLCJwdWJsaXNoZXIiOiJTcHJpbmdlciIsInZvbHVtZSI6IjIxIn0sImlzVGVtcG9yYXJ5IjpmYWxzZX0seyJpZCI6IjZjNzYyZjUyLWY0NjAtMzJhYy1hODFmLWE3ZGJiZjI4MTZhMCIsIml0ZW1EYXRhIjp7InR5cGUiOiJhcnRpY2xlLWpvdXJuYWwiLCJpZCI6IjZjNzYyZjUyLWY0NjAtMzJhYy1hODFmLWE3ZGJiZjI4MTZhMCIsInRpdGxlIjoiQXJ0aWZpY2lhbCBpbnRlbGxpZ2VuY2UgYW5kIGV0aGljcyIsImF1dGhvciI6W3siZmFtaWx5IjoiU2hhdyIsImdpdmVuIjoiSm9uYXRoYW4iLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn1dLCJjb250YWluZXItdGl0bGUiOiJIYXJ2YXJkIG1hZ2F6aW5lIiwiY29udGFpbmVyLXRpdGxlLXNob3J0IjoiSGFydiBNYWciLCJpc3N1ZWQiOnsiZGF0ZS1wYXJ0cyI6W1syMDE5XV19LCJwYWdlIjoiMS0xMSIsInZvbHVtZSI6IjMwIn0sImlzVGVtcG9yYXJ5IjpmYWxzZX1dfQ==" ID="600685274">(Bryson, 2020; Etzioni & Etzioni, 2017; Shaw, 2019)</w:Sdt>. As AI evolves, project managers must adapt how we manage and govern projects <w:Sdt DocPart="E809754387B24E62B02ED98E41DA1824" SdtTag="MENDELEY_CITATION_v3_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" ID="-1734304824">(Birkstedt et al., 2023; PMI, 2024a)</w:Sdt>. New skills and competencies will be required of both project managers and team members <w:Sdt DocPart="F8A2B5B073F444ED916DA4008EC5CC77" SdtTag="MENDELEY_CITATION_v3_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" ID="189645165">(Chalutz-Ben Gal, 2023; Nilsson, 2024)</w:Sdt>. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>Generative AI (GenAI) and Explainable AI (XAI) are two emerging AI subfields with significant potential for reshaping project management. GenAI focuses on creating new content and solutions <w:Sdt DocPart="CD90535CF83B418CBDAD7B4FFB96FAE5" SdtTag="MENDELEY_CITATION_v3_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" ID="152268110">(Epstein et al., 2023; Feuerriegel et al., 2024)</w:Sdt>, while XAI seeks to make AI systems more interpretable and trustworthy <w:Sdt DocPart="3CBC9D1BD77A494699BB73D55DC35EAD" SdtTag="MENDELEY_CITATION_v3_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" ID="-2027556621">(Arrieta et al., 2020; Chalutz-Ben Gal, 2023; Gunning et al., 2019; Notovich et al., 2023)</w:Sdt>. These technologies offer opportunities to enhance project management practices across various industries <w:Sdt DocPart="D8F330C4070843C6A50B021DA42EC5F5" SdtTag="MENDELEY_CITATION_v3_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" ID="993061896">(Dwivedi et al., 2021; Makridakis, 2017)</w:Sdt>. GenAI can support project managers by generating initial project plans, which human experts can validate and refine (Barcaui & Monat, 2023). XAI can facilitate better understanding and transparency in AI-driven decision processes, increasing trust among project stakeholders in complex project endeavors <w:Sdt DocPart="46E3168321F149A8BF77D542F45AEE0D" SdtTag="MENDELEY_CITATION_v3_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" ID="-1994249420">(Colombo et al., 2019; Joamets & Chochia, 2020; Johnson et al., 2021)</w:Sdt>. While much of the rhetoric has been on how these technologies will replace humans, there is evidence suggesting a better approach is coproduction where GenAI and XAI assist and enable the human in project work <w:Sdt DocPart="E809754387B24E62B02ED98E41DA1824" SdtTag="MENDELEY_CITATION_v3_eyJjaXRhdGlvbklEIjoiTUVOREVMRVlfQ0lUQVRJT05fNzM5ZjA0Y2YtNzEyNC00YzQ3LWE1OTQtYzA5YzFlNTk2MmExIiwicHJvcGVydGllcyI6eyJub3RlSW5kZXgiOjB9LCJpc0VkaXRlZCI6ZmFsc2UsIm1hbnVhbE92ZXJyaWRlIjp7ImlzTWFudWFsbHlPdmVycmlkZGVuIjpmYWxzZSwiY2l0ZXByb2NUZXh0IjoiKFRyaXN0LCAxOTgxKSIsIm1hbnVhbE92ZXJyaWRlVGV4dCI6IiJ9LCJjaXRhdGlvbkl0ZW1zIjpbeyJpZCI6ImE2Y2RlMjgzLTZhMjMtMzA4ZC05OTExLTc5YzRmNjMxZmE0YyIsIml0ZW1EYXRhIjp7InR5cGUiOiJib29rIiwiaWQiOiJhNmNkZTI4My02YTIzLTMwOGQtOTkxMS03OWM0ZjYzMWZhNGMiLCJ0aXRsZSI6IlRoZSBldm9sdXRpb24gb2Ygc29jaW8tdGVjaG5pY2FsIHN5c3RlbXMiLCJhdXRob3IiOlt7ImZhbWlseSI6IlRyaXN0IiwiZ2l2ZW4iOiJFcmljIEwiLCJwYXJzZS1uYW1lcyI6ZmFsc2UsImRyb3BwaW5nLXBhcnRpY2xlIjoiIiwibm9uLWRyb3BwaW5nLXBhcnRpY2xlIjoiIn1dLCJpc3N1ZWQiOnsiZGF0ZS1wYXJ0cyI6W1sxOTgxXV19LCJwdWJsaXNoZXIiOiJPbnRhcmlvIFF1YWxpdHkgb2YgV29ya2luZyBMaWZlIENlbnRyZSBUb3JvbnRvIiwidm9sdW1lIjoiMiIsImNvbnRhaW5lci10aXRsZS1zaG9ydCI6IiJ9LCJpc1RlbXBvcmFyeSI6ZmFsc2V9XX0=" ID="838117826">(Trist, 1981)</w:Sdt>.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>The transformative impact of AI on project management is vast and requires further research to understand its full implications. For instance, observing AI-driven processes can offer new insights for project managers, similar to how chess players learn from AI-driven chess matches <w:Sdt DocPart="13EB1979DEFA40088DC71EBC1C9C7D57" SdtTag="MENDELEY_CITATION_v3_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" ID="1189404832">(Deverell, 2023)</w:Sdt>. There is also potential for project professionals to learn new things about project work from observing AI or agent-based simulations and appreciating their limitations to maximize the benefits of coproduced human and AI work, as demonstrated in the FoldIt project, where humans complemented AI's weaknesses in figuring out how proteins fold <w:Sdt DocPart="FA69E91EC4A44336A9DCBB156E808685" SdtTag="MENDELEY_CITATION_v3_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" ID="1294250266">(Koepnick et al., 2019; Wikipedia, 2024)</w:Sdt>. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>In this special issue, we aim to explore how AI will shape and change the role of the project manager and the project management profession, how it will impact project organizations and project work environments, enhance project performance, and contribute to stakeholder value, including societal goals like the Sustainable Development Goals (SDGs) and Environmental, Social, and Governance (ESG). It seeks to provide insights into the implications of human-AI interactions in projects, from the strategic level to the individual level. <o:p></o:p></span></p><p class=MsoNormal><b><span style='font-size:11.0pt'><o:p> </o:p></span></b></p><p class=MsoNormal><b><span style='font-size:11.0pt'>Potential Topics of Interest<o:p></o:p></span></b></p><p class=MsoNormal><span style='font-size:11.0pt'>We invite theoretical and empirical contributions on various aspects of the transformative power of AI on project management. Design science works describing new AI-based artifacts applied in novel ways to make projects more productive are also welcome. We encourage interdisciplinary studies, critical perspectives, evidence-based research, strong theory discussions, and diverse methodological approaches that would significantly contribute to project management theory and practice <w:Sdt DocPart="E809754387B24E62B02ED98E41DA1824" SdtTag="MENDELEY_CITATION_v3_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" ID="1119956761">(Geraldi et al., 2024; Müller et al., 2024; Müller & Locatelli, 2023)</w:Sdt>. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>All papers must make a clear contribution to our understanding of project management. Further, all submissions should demonstrate strong theoretical motivation and contribution and be supported by empirical evidence or thoughtful reasoned argument. The goal of the special issue is to encourage innovative and interesting research at the intersection of project management and AI. Thus, (for example) research where the principal focus is applying machine learning or other algorithms on a data set is discouraged as is research on project management and AI in domains where the literature is already saturated. Theoretical papers must adopt a nuanced perspective and critically evaluate their reasoning. Papers discussing experiences implementing AI in projects, even if unsuccessful, are welcome so long as the paper provides critical, actionable, theoretically and empirically grounded lessons for research and practice.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>The Special Issue suggests the following research themes: <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><b><span style='font-size:11.0pt'>Research theme 1: AI and the changing nature of project work<o:p></o:p></span></b></p><ul style='margin-top:0in' type=disc><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>To what extent are the roles and responsibilities of project managers and team members changing, and how will AI involvement shape the work humans do in projects? <o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>To what extent should project management processes and workflows be redesigned to integrate AI technologies? What are the implications of redesigned processes on the role of PMOs and other supporting functions? <o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>What ethical frameworks, principles, and guidelines should govern AI systems’ development and deployment? How should concerns around bias, fairness, non-discrimination, and intellectual property rights be addressed when using AI? What mechanisms should be put in place to ensure liability, accountability, and assignment of responsibility when AI systems are involved in project decisions or processes? In what ways can the use of AI reduce human-introduced cognitive bias in project management?<o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>In what ways can AI contribute to sustainability transitions by projects? How can AI be harnessed by grand challenge projects to address the SDGs? What are the implications of AI advancements for projects in developing countries and disadvantaged settings?<o:p></o:p></span></li></ul><p class=MsoNormal><b><span style='font-size:11.0pt'><o:p> </o:p></span></b></p><p class=MsoNormal><b><span style='font-size:11.0pt'>Research theme 2: AI and humans in digital project environments<o:p></o:p></span></b></p><ul style='margin-top:0in' type=disc><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>How are interpersonal relationships and team dynamics changing with the integration of AI? <o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>To what extent can AI technologies be harnessed to foster creativity and innovation? How can the adoption of AI contribute to problem-solving for projects’ gains?<o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>How can AI systems be designed and integrated to optimally augment and collaborate with human team members in projects? <o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>How should project labor and tasks be divided between AI systems and humans? What levels of autonomy should be granted to AI systems in different project phases? How does the interpretability of AI decisions (XAI) affect human decision-making in projects?<o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>What are the key factors that influence trust, transparency, and effective interactions between AI systems and human participants? What are the human factors that should be considered in human-centric interfaces for XAI in PM tools?<o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>What organizational conditions support the effective adoption of AI in project management?<o:p></o:p></span></li></ul><p class=MsoNormal><b><span style='font-size:11.0pt'><o:p> </o:p></span></b></p><p class=MsoNormal><b><span style='font-size:11.0pt'>Research theme 3: AI and project performance<o:p></o:p></span></b></p><ul style='margin-top:0in' type=disc><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>How can AI enhance project productivity and performance?<o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>How should project-based organizations redesign their strategies, processes, and structures to effectively leverage AI capabilities to improve performance? What AI-enabled approaches can be developed to dynamically adjust project strategies in response to emergent changes or disruptions?<o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>What are the opportunities and challenges in using AI for project planning, execution, monitoring, and controlling? What are the implications of applying AI in agile vs. waterfall projects? <o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>What new metrics can AI introduce for measuring and controlling project success? In what ways can AI be used for effective project monitoring and control? <o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo1'><span style='font-size:11.0pt'>How can AI improve decision-making across the project lifecycle? In what ways can AI help address the limitations of human decision-makers in projects?<o:p></o:p></span></li></ul><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><b><u><span style='font-size:11.0pt'>Paper format<o:p></o:p></span></u></b></p><p class=MsoNormal><span style='font-size:11.0pt'>We advise authors to read the guidelines to authors and recent editorials in the Project Management Journal to learn more about the requirements of papers submitted to the journal. It is important that submissions address problems and issues that are central to our understanding of projects, project-based organizations, or project-based work. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>We appreciate first round submissions to be no more than 8000-10000 words excluding references, tables and figures. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><b><u><span style='font-size:11.0pt'>Timeline<o:p></o:p></span></u></b></p><p class=MsoNormal><span style='font-size:11.0pt'>Deadline submission 1 June 2025. Please select submission to “AI special issue”. Submissions are made in the Manuscript Central at the Project Management Journal. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>Decision on first round of reviews 1 September 2025<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>Deadline submission 1 December 2025<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>Decision on second round of reviews 1 February 2025<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>Submission of final submissions 1 June 2026. Papers available online 1 August. <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'>Expected publication of special issue, November-December 2026<o:p></o:p></span></p><span style='font-size:11.0pt;font-family:"Aptos",sans-serif;mso-fareast-language:ZH-CN'><br clear=all style='page-break-before:always'></span><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><p class=MsoNormal><b><u><span style='font-size:11.0pt'>References<o:p></o:p></span></u></b></p><w:Sdt DocPart="E809754387B24E62B02ED98E41DA1824" SdtTag="MENDELEY_BIBLIOGRAPHY" ID="745141605"><p class=MsoNormal><span style='font-size:11.0pt'>Agrawal, A., Gans, J., & Goldfarb, A. (2022). From Prediction to Transformation. <i>Harvard Business Review</i>, <i>100</i>(6), 100–109. https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=159702368&site=ehost-live<o:p></o:p><w:sdtPr></w:sdtPr></span></p><p class=MsoNormal><span style='font-size:11.0pt'>Arrieta, A. 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(2024, August 23). <i>Foldit</i>. https://en.wikipedia.org/wiki/Foldit<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt'> <o:p></o:p></span></p></w:Sdt><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p><span style='font-size:11.0pt;font-family:"Aptos",sans-serif;mso-fareast-language:ZH-CN'><br clear=all style='page-break-before:always'></span><p class=MsoNormal><a name="_Appendix:_Guest_Editors"></a><b><u><span style='font-size:11.0pt'><o:p><span style='text-decoration:none'> </span></o:p></span></u></b></p><p class=MsoNormal><span style='font-size:11.0pt'><o:p> </o:p></span></p></div></body></html>