Developing a learning-to-learn capability: insights on conditions for Industry 4.0 adoption

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Abstract

Purpose: This paper investigates how manufacturers can develop a learning-to-learn capability for enabling Industry 4.0 adoption. Design/methodology/approach: This research design is guided by our research question: How can manufacturers develop a learning-to-learn capability that enables Industry 4.0 adoption? The authors adopt action research to generate actionable knowledge from a two-year-long action learning intervention at the Danish rooftop window manufacturer VELUX. Findings: Drawing on emergent insights from the action learning intervention, it was found that a learning-to-learn capability based on lean was a core construct and enabler for manufacturers to adopt Industry 4.0 successfully. Institutionalizing an organizational learning scaffold encompassing the intertwined learning processes of systems Alpha, Beta and Gamma served as a significant way to develop a learning-to-learn capability for Industry 4.0 adoption (systematic problem-solving abilities, leaders as learning facilitators, presence of a supportive learning environment and Industry 4.0 knowledge). Moreover, group coaching is a practical action learning intervention for invoking system Gamma and developing leaders to become learning facilitators – an essential leadership role during Industry 4.0 adoption. Originality/value: The study contributes to theory and practice by adopting action research and action learning to explore learning-to-learn as a core construct for enabling Industry 4.0 adoption and providing a set of conditions for developing a learning-to-learn capability. Furthermore, the study reveals that leaders are required to act as learning facilitators instead of relying on learning about and implementing Industry 4.0 best practices for enabling adoption.

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APA

Saabye, H., Kristensen, T. B., & Wæhrens, B. V. (2021). Developing a learning-to-learn capability: insights on conditions for Industry 4.0 adoption. International Journal of Operations and Production Management, 42(13), 25–53. https://doi.org/10.1108/IJOPM-07-2021-0428

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