The Future of AI-Integrated Project Management: A Structured Literature Review Based Risk Identification

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dc.contributor.authorSiddiqui, Muhammad Adnan
dc.contributor.authorWasif, Muhammad
dc.date.accessioned2026-01-15T09:26:29Z
dc.date.available2026-01-15T09:26:29Z
dc.date.issued2025-12-21
dc.description.abstractThe evolution of AI is changing the landscape of project management. The integration of AI into project management brings many advantages, yet it is also accompanied by prominent weaknesses and serious challenges. In addition, rapidly evolving technologies continue to transform the field’s dynamics. These evolving dynamics result in ambiguity about the current state of the field, and consequently, create an uncertainty regarding a roadmap for future advancements. The purpose of this paper is to address this challenge by developing a well-grounded conceptual insight that identifies the risks associated with AI adoption in project management, guiding both academia and industry towards a structured approach to its future advancements. This paper conducts a detailed structured literature review, adhering the PRISMA protocol, to evaluate the impact of AI on key facets of project management, its potential benefits and implementation challenges. Then it analyzes the literature and synthesizes the key findings. Finally, it conducts comprehensive analysis to identify both positive and negative risks i.e. opportunities and threats. This in-depth analysis and its findings enable us to understand the nature of the risks, and how those can be harnessed or mitigated to advance the field. Furthermore, it provides both academia and industry the foundation to plan improved risk mitigation strategies and to develop a structured adoption framework. This study is expected to make a significant contribution to the advancement of the field.en
dc.formatapplication/pdf
dc.identifier.citationInternational Journal of Engineering and Management Sciences, Online first , 1-27.
dc.identifier.doihttps://doi.org/10.21791/IJEMS.2025.22
dc.identifier.eissn2498-700X
dc.identifier.jtitleInternational Journal of Engineering and Management Sciences
dc.identifier.urihttps://hdl.handle.net/2437/402481
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/IJEMS/article/view/16153
dc.rights.accessOpen Access
dc.rights.ownerMuhammad Adnan Siddiqui, Muhammad Wasif
dc.subjectArtificial Intelligence (AI)en
dc.subjectBenefitsen
dc.subjectChallengesen
dc.subjectDecision-Makingen
dc.subjectEfficiencyen
dc.subjectProject Managementen
dc.subjectRisk Identificationen
dc.subjectArtificial Intelligence (AI)hu
dc.subjectBenefitshu
dc.subjectChallengeshu
dc.subjectDecision-Makinghu
dc.subjectEfficiencyhu
dc.subjectProject Managementhu
dc.subjectRisk Identificationhu
dc.titleThe Future of AI-Integrated Project Management: A Structured Literature Review Based Risk Identificationen
dc.typefolyóiratcikkhu
dc.typearticleen
dc.type.detailedidegen nyelvű folyóiratközlemény hazai lapbanhu
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International Journal of Engineering and Management Sciences (DE-journals)