Understanding the RAC Special Edition on AI in Management Research

The Revista de Administração Contemporânea (RAC), a leading Brazilian journal published by the Associação Nacional de Pós-Graduação e Pesquisa em Administração (ANPAD), has released a special edition exploring how artificial intelligence is transforming research methods in the field of administration. Titled "The Use of Artificial Intelligence in Management Research Methods," the issue highlights AI's dual role as both a tool and an object of study, drawing contributions from researchers in Brazil, India, and Chile.

Published in volume 29, issue 6, the edition addresses longstanding limitations in traditional administration research, such as manual coding for qualitative data and statistical packages that struggle with scale and speed. AI technologies like machine learning, natural language processing, and generative models now assist in tasks ranging from qualitative data analysis to identifying patterns in large corporate document sets.

Key Articles and Findings from the Special Issue

One standout contribution compares human analysts, traditional AI topic modeling, and generative AI in analyzing data on women's participation in the gaming industry, aligned with UN Sustainable Development Goal 5 on gender equality. Generative AI showed advantages in speed and scalability for deductive approaches with predefined codes, though human analysts excelled in interpretive depth and theoretical connections.

Another study examined 1,422 documents from Brazil's five largest banks between 2011 and 2022, using AI tools to validate and calibrate data within a qualitative comparative analysis framework. This demonstrates practical applications in corporate strategy research.

A systematic review on AI-based nudging techniques, including personalization, default green options, social proof, and gamification, illustrates how these methods boost sustainable consumer behaviors on e-commerce platforms, linking directly to SDGs 12 and 13 on responsible consumption and climate action.

Ethical Considerations and Researcher Oversight

The special edition emphasizes that AI does not replace the researcher. Studies reveal preferences for human final decision-making in contexts like hiring, with AI serving in supportive roles. Excessive or insufficient delegation to AI systems can undermine benefits, underscoring the need for balanced integration.

Editors stress ongoing attention to ethics, governance, and research integrity. Future agendas include international AI governance, prediction of humanitarian crises, global AI skills gaps, and regulatory frameworks for AI technologies.

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Broader Implications for Brazilian Higher Education and Research

This RAC edition reflects growing maturity in Brazil's administration research community, where technological advances are paired with critical reflection. Institutions like the Universidade Federal de Goiás (UFG), Fundação Getulio Vargas (FGV), and others are at the forefront, fostering hybrid intelligence approaches through labs such as UFG's HI-Lab.

The shift impacts PhD training, faculty development, and interdisciplinary collaboration, encouraging universities to integrate AI literacy into curricula while maintaining rigorous methodological standards.

Stakeholder Perspectives from Editors and Contributors

Coordinating editor Ricardo Limongi of UFG notes that AI is reshaping traditional repertoires of research tools. International editors from India and Chile bring comparative insights, enriching the discussion on global challenges like AI competence gaps.

Contributors highlight both opportunities for scalability and risks around over-reliance, advocating for human-AI collaboration models that preserve interpretive rigor.

Future Outlook and Actionable Insights for Academics

The special issue identifies gaps in governance and regulation as priorities. Brazilian universities can respond by developing AI ethics modules, supporting open science initiatives, and fostering international partnerships.

Researchers are encouraged to experiment with AI tools in pilot studies while documenting methodological choices transparently. Administrators should invest in training to bridge skills gaps and ensure equitable access to AI resources across institutions.

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Connections to National and International Research Agendas

The edition aligns with broader Brazilian efforts in science and technology policy, including ANPAD's role in advancing management scholarship. It resonates with global conversations on responsible AI use in academia, complementing initiatives by bodies like SciELO for open access and research integrity.

Practical Examples of AI Integration in Administration Research

• Generative AI for rapid qualitative coding in large datasets, reducing time from weeks to hours while requiring human validation for nuance.
• AI-assisted systematic reviews that identify patterns across thousands of documents, enhancing literature synthesis in strategy and organizational studies.
• Nudging frameworks tested via AI simulations to promote sustainable business practices, offering testable models for corporate social responsibility research.