Entre humanos e algoritmos: a reconfiguração das práticas organizacionais mediadas por inteligência artificial à luz da teoria ator-rede

Abstract

The increasing incorporation of artificial intelligence (AI) systems into organizations has transformed how work is coordinated, decisions are made, and tasks are performed, posing new analytical challenges for the field of Management. This study investigates how the introduction and use of AI-based systems participate in the reconfiguration of organizational practices, drawing on analytical contributions from Actor-Network Theory (ANT). The research adopts a qualitative, exploratory, and descriptive approach, employing an integrative literature review as its method, following the model proposed by Torraco. Based on a corpus comprising 46 articles indexed in the Web of Science, published between 2013 and 2026, a thematic synthesis of empirical and theoretical evidence on the application of AI in organizational contexts was conducted. The findings indicate that the analyzed literature associates the presence of algorithmic systems with changes in coordination processes, decision-making practices, control mechanisms, and the production and circulation of knowledge. The analysis reveals that such transformations emerge from sociotechnical associations in which human actors and artifacts articulate in the stabilization of organizational practices. Based on this synthesis, the study proposes a conceptual framework that highlights how AI systems participate in the reconfiguration of organizational practices, contributing to the articulation between studies on artificial intelligence and sociotechnical approaches in the field of Management.