Artificial Intelligence (AI), particularly Machine Learning (ML), Large Language Models (LLMs), and generative AI, has emerged as one of the most transformative forces in contemporary business and management (Fountaine et al., 2019). AI refers to computer systems that perceive their environment, learn from past behavior, and take action to maximize the likelihood of attaining their goals, fundamentally revolutionizing data-driven decision-making across industries (Davenport et al., 2020; Doshi et al., 2025). The recent emergence of generative AI systems such as ChatGPT, Gemini, and other LLMs has intensified debates across boardrooms and academic forums about how these technologies align with digital strategies and reshape competitive landscapes (Brown et al., 2024; Kaplan & Haenlein, 2019).
Beyond generative AI, the emergence of agentic AI, systems capable of autonomously planning multi-step actions, using external tools, coordinating with other AI agents, and pursuing complex goals with minimal human intervention, represents a new strategic frontier with profound organizational implications (Baird & Maruping, 2021; Wang et al., 2024). Agentic AI systems, including autonomous AI agents and multi-agent frameworks, are increasingly deployed to automate decision chains, orchestrate workflows, and interact with digital environments at scale, fundamentally challenging traditional notions of organizational agency, authority, and accountability (Xi et al., 2023). This evolution requires organizations to reconsider governance architectures, human oversight mechanisms, and strategic competencies as AI transitions from a reactive tool of assistance to a proactive, semi-autonomous actor embedded in core business processes (Dwivedi et al., 2025; Hughes et al., 2025; Kshetri et al., 2024; Mariani & Dwivedi, 2024).
ETHICS AND ARTIFICIAL INTELLIGENCE (AI) USE
Authors are expected to adhere to RAE’s (Revista de Administração de Empresas) ethical guidelines when preparing and submitting their manuscripts. Submissions must also comply with the journal’s policy on the responsible use of AI tools. Any use of AI must be clearly disclosed and used transparently. Authors must ensure that such use does not replace their own intellectual contributions nor compromise the originality or novelty of their work.
ABOUT THE JOURNAL
RAE was launched in 1961 and is one of the most prestigious journals published in Latin America. The journal is currently ranked as level 1 in AJG ABS and indexed by several indexers and databases such as Elsevier’s Scopus, SciELO, IBSS, HAPI, Spell, and JCR/Clarivate (WoS). Accepted articles are published in English and also in either Portuguese or Spanish to reach a wide global audience. RAE is an open-access journal and does not charge publication fees.
SUBMISSION OF PAPERS
Papers submitted must not have been published, accepted for publication, or presently be under consideration for publication elsewhere. To be eligible for review, the manuscript must be according to the RAE’s guidelines (https:// bit. ly/rae-articles-format). The submission must be made through the ScholarOne system at http://mc04.manuscriptcentral.com/rae-scielo. For more information, write to: raeredacao@fgv.br.
Guest Editors
Alsones Balestrin, Fundação Dom Cabral, Brazil
Alberto Luiz Albertin, Fundação Getulio Vargas – EAESP, Brazil
Roberto Bernardes, Centro Universitário FEI, Brazil
Cristian Foguesatto, Universidade Federal do Rio Grande do Sul, Brazil
Luis Hernan Contreras Pinochet, Universidade de São Paulo (FEAUSP), Brazil
Journal Information: Scopus Journal Q3, H-Index 26
Timeline
Special Issue launch: June 29, 2026
Full paper submission deadline: January 22, 2027
First review decision: May 31, 2027
Second round revisions due by: September 18, 2027
Final decision: November 6, 2027
For more details refer here
