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CIMO - Artigos em Proceedings Não Indexados à WoS/Scopus

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http://hdl.handle.net/10198/14534

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Percorrer CIMO - Artigos em Proceedings Não Indexados à WoS/Scopus por Objetivos de Desenvolvimento Sustentável (ODS) "08:Trabalho Digno e Crescimento Económico"

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  • Addressing the Challenges of Integrating Artificial Intelligence in Project Management
    Publication . Almeida, Pedro; Freitas, Filipa; Fernandes, Gabriela; Santos, José M.R.C.A.; Moniz, Samuel
    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.
    2024Comunicação em conferência Acesso aberto Ver mais
  • Smart Small Ruminant Device: An IoT-Based System for Real-Time Monitoring and Management of Sheep and Goat Mobility
    Publication . Araujo, Mateus; Castro, José; Castro, Marina; Leitão, Paulo; Bernuy, Miguel
    The traditional agricultural practice of silvopastoralism, combining cultural heritage and ecological management, plays a vital role in food production and landscape management. This article explores the integration of precision livestock farming (PLF) into silvopastoral landscapes, using Internet of Things (IoT) technologies for monitoring and data transmission. Commercially available tracking devices lack interesting ergonomics, price and autonomy, and most companies do not focus on goats and sheep. A customized IoT device was developed and tested on goats, employing temperature/humidity sensors, relative position, geolocation and a longrange communication module. The system architecture enabled real-time data flow through the sensing, service and interface layers, resulting in data visualization. The results demonstrate the high reliability, low cost, interesting autonomy and appropriate ergonomics of the device, with the animals exhibiting normal behavior during the tests. The study highlights the effectiveness of IoT-enabled PLF for understanding grazing dynamics and animal behavior in silvopastoral systems, highlighting its potential for sustainable landscape management and the welfare of goats and sheep.
    2024Comunicação em conferência Acesso aberto Ver mais