Generative AI in project management: Impacts on corporate values, employee perceptions, and organizational practices
This study examines the evolving role of generative AI tools, particularly ChatGPT, in project management, focusing on their impact on corporate values, employee perceptions, and practical application across project phases and roles. Using a mixed methods design comprising a literature review, two industry workshops, and a survey of 52 professionals from diverse sectors, the research integrates thematic qualitative analysis with exploratory quantitative assessment. The most prominent finding is that 74 % of participants expressed mixed or negative sentiments towards AI adoption, citing concerns about job security and data privacy, despite recognizing productivity and automation benefits. In addition, 42 % observed positive shifts in corporate values linked to AI adoption, and strong consensus emerged regarding AI's usefulness in Planning (86 %), Monitoring and Controlling (75 %), and Integration (83 %) project management process groups. While some statistically significant associations were identified, such as employer type (consultant vs. non-consultant) influencing AI use during the project execution phase, these findings are preliminary due to the small sample size. The results highlight the importance of balancing AI-driven efficiencies with ethical safeguards, human oversight, and targeted training. This study contributes to the digital transformation discourse by providing early empirical insights into how generative AI is reshaping project management practices and organisational culture.
Authors
- M.K.S. Al-Mhdawi (ORCID: https://orcid.org/0000-0001-5870-0323)
- Vartenie Aramali (ORCID: https://orcid.org/0000-0002-1631-5360)
- Udechukwu Ojiako (ORCID: https://orcid.org/0000-0003-0506-2115)
- Namho Cho (ORCID: https://orcid.org/0000-0003-3426-1543)
- Abroon Jamal Qazi (ORCID: https://orcid.org/0000-0001-6648-3306)
- Falguni Pande
Institutions
- State University of Management (RU)
- California State University, Northridge (US)
- Naval Facilities Engineering Systems Command (US)
- University of Strathclyde (GB)
- American University of Sharjah (AE)
- Indiana University of Pennsylvania (US)
- Trinity College Dublin (IE)
- University of Johannesburg (ZA)
- Arizona State University (US)
- Teesside University (GB)
Publication Details
- Journal
- Project Leadership and Society
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1016/j.plas.2025.100191
- Citations
- 1
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 2.28