Balancing Confidence and Caution: Artificial Intelligence's Integration in Lean Profession

Florian Magnani (), Maricela Arellano, Laurent Joblot (), Fernando Naranjo, Alexandre Guillard and Mario Passalacqua ()
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Florian Magnani: MAGELLAN - Laboratoire de Recherche Magellan - UJML - Université Jean Moulin - Lyon 3 - Université de Lyon - Institut d'Administration des Entreprises (IAE) - Lyon
Maricela Arellano: HEC Montréal - HEC Montréal
Laurent Joblot: LISPEN - Laboratoire d’Ingénierie des Systèmes Physiques et Numériques - Arts et Métiers Sciences et Technologies
Fernando Naranjo: Niagara University
Alexandre Guillard: ESSEC Business School
Mario Passalacqua: UQAM - Université du Québec à Montréal = University of Québec in Montréal

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Abstract: With artificial intelligence (AI) transforming operations management, lean professionals— ranging from in-house practitioners to external consultants—face both opportunities and tensions. This study explores how AI influences their practices and roles by applying a Delphi- Régnier method with experts from industry, academia, and consulting. It examines organizational, technological, informational, and people challenges. We aim to offer preliminary insights into the challenges faced by lean professionals, including how they navigate between executional tasks and strategic advisory roles. It also investigates how AI complements human expertise within hybrid decision-making systems. The study will propose practical guidelines for aligning AI integration with lean principles.

Keywords: Artificial Intelligence; Lean; Delphi-Régnier study (search for similar items in EconPapers)
Date: 2025-06-15
New Economics Papers: this item is included in nep-inv
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Published in EUROMA 2025, Jun 2025, Milan, Italy

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