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

Author

Listed:
  • 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

    (UQÀM - Département de Psychologie - UQAM - Université du Québec à Montréal = University of Québec in Montréal)

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.

Suggested Citation

  • Florian Magnani & Maricela Arellano & Laurent Joblot & Fernando Naranjo & Alexandre Guillard & Mario Passalacqua, 2025. "Balancing Confidence and Caution: Artificial Intelligence's Integration in Lean Profession," Post-Print hal-05222872, HAL.
    • Handle: RePEc:hal:journl:hal-05222872
    Note: View the original document on HAL open archive server: https://hal.science/hal-05222872v1
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