GENERATIVE ARTIFICIAL INTELLIGENCE (AI): A STRATEGIC RESOURCE FOR REINVENTING MANAGERIAL ROLES IN THE 21ST CENTURY

L'Intelligence Artificielle Générative (IAG): une ressource stratégique pour réinventer les rôles managériaux au 21ème siècle

Philippe Jean-Baptiste ()
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Philippe Jean-Baptiste: LEST - Laboratoire d'Economie et de Sociologie du Travail - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique

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Abstract: This research aims to analyze how generative artificial intelligence (AI) transforms the roles and competencies of middle managers. By employing activity theory (Engeström, 1987) and examining Top-Down and Bottom-Up organizational dynamics, it explores the tensions and opportunities created by the adoption of AI. The methodology is based on semi-structured interviews conducted in three types of organizations (large enterprise, mid-sized company, and SME), complemented by a qualitative data analysis. The findings reveal that generative AI, beyond being technological tools, emerge as strategic resources redefining managerial practices. Middle managers play a pivotal role in balancing bottom-up innovation with governance requirements while developing technical, human, and conceptual skills. This study provides a conceptual framework to understand these organizational transformations and offers practical recommendations to support managers in navigating this technological transition.

Keywords: Middle managers; Activity theory; Organizational transformation; technological innovation; Generative Artificial Intelligence; Intelligence artificielle générative (IAG); Managers intermédiaires; Théorie de l'activité; Transformation organisationnelle; Innovation technologique (search for similar items in EconPapers)
Date: 2025-06-03
New Economics Papers: this item is included in nep-sbm
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Published in Le management des ressources au 21ème siècle, AIMS (Association Internationale de Management Stratégique), Jun 2025, Lille, France

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