{"title":"项目管理中的生成人工智能:对企业价值观、员工观念和组织实践的影响","authors":"Vartenie Aramali , Namho Cho , Falguni Pande , M.K.S. Al-Mhdawi , Udechukwu Ojiako , Abroon Qazi","doi":"10.1016/j.plas.2025.100191","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":101050,"journal":{"name":"Project Leadership and Society","volume":"6 ","pages":"Article 100191"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generative AI in project management: Impacts on corporate values, employee perceptions, and organizational practices\",\"authors\":\"Vartenie Aramali , Namho Cho , Falguni Pande , M.K.S. Al-Mhdawi , Udechukwu Ojiako , Abroon Qazi\",\"doi\":\"10.1016/j.plas.2025.100191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":101050,\"journal\":{\"name\":\"Project Leadership and Society\",\"volume\":\"6 \",\"pages\":\"Article 100191\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Project Leadership and Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S266672152500016X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Project Leadership and Society","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S266672152500016X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.