Percorrer por autor "Almeida, Pedro M."
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- Addressing the Challenges of Integrating Artificial Intelligence in Project ManagementPublication . Almeida, Pedro M.; Freitas, Filipa; Fernandes, Gabriela; Santos, José M.R.C.A.; Moniz, SamuelIn 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.
- Artificial intelligence tools for project management: A knowledge-based perspectivePublication . Almeida, Pedro M.; Fernandes, Gabriela; Santos, José M.R.C.A.The rapid evolution of artificial intelligence is pressing the need to understand how organisations can integrate it into namely project management to enhance performance and outcomes. Through a systematic literature review, this paper explores artificial intelligence's potential use in project management. The thematic analysis of relevant literature identified key project management knowledge areas, such as integration, scope, communication, risk and stakeholder management, were as domains where artificial intelligence holds significant potential. The study further investigates the relationship between these knowledge areas and the most suitable types of artificial intelligence tools, such as generative artificial intelligence, and machine learning algorithms for optimisation and automation, based on the dominant knowledge type each knowledge area requires, namely formal, data-driven, or tacit knowledge. Based on the main findings, the study proposes a conceptual framework for the integration of artificial intelligence tools in project management, offering valuable insights for scholars and practitioners. Moreover, guidelines for future research to accelerate the wide adoption of artificial intelligence in the field are proposed.