Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/174717
Título: New Type of Teammates
Autor: Vorobeva, Darina
Voyer, Benjamin
Pinto, Diego Costa
González, Hector
Palavras-chave: generative ai
augmented team
teamwork
Marketing Strategy
Organization Behavior
Organization Relationships
Technology
innovations
robotics
SDG 3 - Good Health and Well-being
SDG 8 - Decent Work and Economic Growth
Data: 25-Set-2024
Editora: European Marketing Academy (EMAC)
Resumo: A mounting number of companies are embracing a myriad of AI-empowered technologies, identifying the rise of augmented teams to the forefront of organizational dynamics to elevate the synergy between human and artificial entities. In response to recent call that forthcoming research should concentrate on deepening insights into diverse forms of coexistence between humans and AI applications across various work-related contexts, we develop a conceptual framework connecting new artificial team members with previously human-related teamwork success factors proposing a novel dynamics and changers within such augmented teams. The current paper intents to uncover valuable insights into optimizing augmented teams collaborative work, refining the difference between AI and Generative AI, and maximizing the synergies between human expertise and capabilities of artificial entities. These findings contribute compelling insights about functioning of augmented teams, with novel practical implications.
Descrição: Vorobeva, D., Voyer, B., Pinto, D. C., & González, H. (2024). New Type of Teammates: A Systematic Review on AI and Generative AI [abstract]. In Proceedings of the European Marketing Academy (pp. 1-2). Article 122554 European Marketing Academy (EMAC). https://proceedings.emac-online.org/pdfs/R2024-122554.pdf --- This work received partial support from national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project – UIDB/04152/2020 – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS and 2021.09496.BD
Peer review: yes
URI: http://hdl.handle.net/10362/174717
Aparece nas colecções:NIMS: MagIC - Documentos de conferências internacionais

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