TY - JOUR
T1 - Generative AI in project management
T2 - Impacts on corporate values, employee perceptions, and organizational practices
AU - Aramali, Vartenie
AU - Cho, Namho
AU - Pande, Falguni
AU - Al-Mhdawi, M. K.S.
AU - Ojiako, Udechukwu
AU - Qazi, Abroon
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/12/1
Y1 - 2025/12/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105015160566
U2 - 10.1016/j.plas.2025.100191
DO - 10.1016/j.plas.2025.100191
M3 - Article
AN - SCOPUS:105015160566
SN - 2666-7215
VL - 6
JO - Project Leadership and Society
JF - Project Leadership and Society
M1 - 100191
ER -