The AI-based leadership method: fostering symbiotic integration of artificial intelligence into management practices

Objective: To present the AI-Based Leadership Method, a novel method for integrating Artificial Intelligence (AI) into Business Management practices, based on the experience of data scientists in large data-driven organizations.Methodology: Qualitative, using Actor-Network Theory (ANT) as the theoretical-methodological approach.Originality: The proposed method fills a theoretical gap in the management literature, offering a systematic approach to the symbiotic integration of AI into leadership and management practices.Main results: Description of a methodology that encompasses the definition of collaborative contexts, the formation of symbiotic teams, the synchronization of knowledge, the automation of supervision, the optimization of decision-making through hybrid committees, and the promotion of a continuous feedback cycle.Theoretical/methodological contributions: The proposed method offers a future-oriented perspective on promoting a productive partnership between humans and artificial intelligence in the workplace, highlighting the importance of balanced integration of AI into management activities.

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Publication Details

Journal
Revista Gestão & Tecnologia
Published
2025-06-30
DOI
https://doi.org/10.20397/2177-6652/2025.v25i3.2810
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
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article

The AI-based leadership method: fostering symbiotic integration of artificial intelligence into management practices

Wellington Rodrigo Monteiro, Eduardo André Teixeira Ayrosa
Revista Gestão & Tecnologia
Supply Chain Resilience and Risk Management
article

The AI-based leadership method: fostering symbiotic integration of artificial intelligence into management practices

Wellington Rodrigo Monteiro, Eduardo André Teixeira Ayrosa
article en

Abstract

Objective: To present the AI-Based Leadership Method, a novel method for integrating Artificial Intelligence (AI) into Business Management practices, based on the experience of data scientists in large data-driven organizations.Methodology: Qualitative, using Actor-Network Theory (ANT) as the theoretical-methodological approach.Originality: The proposed method fills a theoretical gap in the management literature, offering a systematic approach to the symbiotic integration of AI into leadership and management practices.Main results: Description of a methodology that encompasses the definition of collaborative contexts, the formation of symbiotic teams, the synchronization of knowledge, the automation of supervision, the optimization of decision-making through hybrid committees, and the promotion of a continuous feedback cycle.Theoretical/methodological contributions: The proposed method offers a future-oriented perspective on promoting a productive partnership between humans and artificial intelligence in the workplace, highlighting the importance of balanced integration of AI into management activities.

Revista Gestão & TecnologiaVol. 25(3)
Universidade Positivo (BR)
Openalex Percentile: Top 77%
Supply Chain Resilience and Risk Management
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