Processos Organizacionais Criativos e Decisórios a partir da Inteligência Artificial Generativa e da Gestão da Inovação

Lucas Gonçalves Dias; Rodrigo de Oliveira Costa; Marcello Vinicius Doria Calvosa

doi:10.18540/jcecvl11iss1pp21444

Authors

Lucas Gonçalves Dias Universidade Federal Rural do Rio de Janeiro (DCAd.UFRRJ), Programa de Extensão DEGECAR (UFRRJ), Brasil
Rodrigo de Oliveira Costa Universidade Federal Rural do Rio de Janeiro (DCAd.UFRRJ), Programa de Extensão DEGECAR (UFRRJ), Brasil
Marcello Vinicius Doria Calvosa Universidade Federal Rural do Rio de Janeiro (DCAd.UFRRJ), Grupo de Pesquisas GeCaPEP (CNPq), Programa de Extensão DEGECAR (UFRRJ), Brasil https://orcid.org/0000-0003-2724-9431

DOI:

https://doi.org/10.18540/jcecvl11iss1pp21444

Keywords:

Artificial Inteligence, Generative artificial intelligence, Innovation management

Abstract

The objective of this work was to develop an academic and critical review based on scientific articles: Generative Artificial Intelligence in Innovation Management: a preview of future research developments, published in 2024, in English, in the scientific journal Journal of Business Research. The article addresses central concepts, such as: Generative Artificial Intelligence, Organizational Innovation and Innovation Management. The original work is based on the premise that the use of Artificial Intelligence will allow greater opportunities for students and collaborators, not just academically and professionally. Therefore, this content is interesting for undergraduate and post-graduation students, due to the fact that Artificial Generative Intelligence has the capacity to promote changes and revolutionize the way people and companies develop products, services and new ways of thinking. The gain in training in this topic is the possibility of becoming a more complete professional prepared to act in an increasingly digital and automated market, with the ability to identify and address its demands and opportunities.

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Author Biography

Marcello Vinicius Doria Calvosa, Universidade Federal Rural do Rio de Janeiro (DCAd.UFRRJ), Grupo de Pesquisas GeCaPEP (CNPq), Programa de Extensão DEGECAR (UFRRJ), Brasil

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