Publicação
Addressing the Challenges of Integrating Artificial Intelligence in Project Management
| Resumo: | In recent years, Artificial Intelligence (AI) has been transforming various fields, including Project Management (PM). While AI offers significant benefits to PM, its implementation also presents several challenges. This paper explores some of the main barriers faced by organizations when integrating AI into PM practice. Through a review of current literature, this study identifies major challenges, such as the creation of unemployment, the need for upskilled project managers, erosion capabilities of project managers, ethical issues, high initial investment, security and data privacy concerns, and data availability. By analyzing these challenges, this paper provides insights into strategic approaches for overcoming them, emphasizing the importance of change management strategies, investment in training, development of clear ethical regulations, and the highlighting the need for Project managers to develop a versatile skills set that balances technical proficiency with human-centric skills like empathy, adaptability, collaborative mindset, and emotional intelligence. These findings help to equip PM professionals with the necessary knowledge to navigate through the complexities of AI implementation effectively, while also guides scholars for future research on this emergent field. |
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| Autores principais: | Almeida, Pedro |
| Outros Autores: | Freitas, Filipa; Fernandes, Gabriela; Santos, José M.R.C.A.; Moniz, Samuel |
| Assunto: | Project management Artificial intelligence Digital competencies |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | In recent years, Artificial Intelligence (AI) has been transforming various fields, including Project Management (PM). While AI offers significant benefits to PM, its implementation also presents several challenges. This paper explores some of the main barriers faced by organizations when integrating AI into PM practice. Through a review of current literature, this study identifies major challenges, such as the creation of unemployment, the need for upskilled project managers, erosion capabilities of project managers, ethical issues, high initial investment, security and data privacy concerns, and data availability. By analyzing these challenges, this paper provides insights into strategic approaches for overcoming them, emphasizing the importance of change management strategies, investment in training, development of clear ethical regulations, and the highlighting the need for Project managers to develop a versatile skills set that balances technical proficiency with human-centric skills like empathy, adaptability, collaborative mindset, and emotional intelligence. These findings help to equip PM professionals with the necessary knowledge to navigate through the complexities of AI implementation effectively, while also guides scholars for future research on this emergent field. |
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