A carregar...
Publicação
New Type of Teammates
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 228 KB | Adobe PDF |
Orientador(es)
Resumo(s)
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
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
Contexto Educativo
Citação
Editora
European Marketing Academy (EMAC)