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PurposeThis paper investigates how manufacturers can develop a learning-to-learn capability for enabling Industry 4.0 adoption.Design/methodology/approachThis 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.FindingsDrawing 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/valueThe 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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This study presents empirical evidence for the ongoing discussion about the link between Lean Management (LM) and industry 4.0 (I4.0) by exploring a non-technical perspective on how manufacturers can capitalize on their technological investments. The paper, therefore, studies the link between LM and I4.0 from a learning organization (LO) perspective by examining the implementation, commissioning, and utilization of a real-time operational data gathering system at a Danish building material manufacturer. This six months in-depth case study finds that for the manufacturer to utilize real-time operational data from a LO perspective, several barriers must be addressed: problem solving that is not initiated by operators, operators who do not have second-order problem-solving abilities, operators who perceive the new real-time data technology as coercive, poor learning environments and processes, and a lack of leadership that supports learning. This study can help practitioners understand the importance of balance, the prevalent technocentric focus when implementing new I4.0 technologies with a LO focus. Furthermore, the study provides practitioners with a list of specific barriers from a LO perspective to be mindful of when aiming to combine LM and I4.0 to improve production performance.

PurposeThe challenges facing industrial enterprises include coping with an increased distribution of activities and the related need to deal with task interdependencies, as well as coping with uncertainty and complexity. This opens for a discussion of current thinking and practices of manufacturing and its strategic role. The aim of the paper is to explore future changes in strategic roles of manufacturing.Design/methodology/approachA review of the literature on manufacturing strategy has focused on different ways of positioning manufacturing as a means for identifying and defining the strategic roles of manufacturing in an industrial company. To understand how industrial companies have dealt with some of the global challenges and have changed their strategic roles of manufacturing over a period of 3‐7 years, interviews are carried out in six small and medium‐sized companies, representing different industries, such as textile, mechanical and electronic industries. The case stories form a basis for identifying issues for future manufacturing strategic roles in the form of research propositions and implications.FindingsThe literature review has resulted in a grouping of the strategic roles of manufacturing. The first group of contributions relates directly to the extent and selected objectives of manufacturing contribution to competitive advantage. The second group positions a company in a value chain or a supply chain. The third way of classifying strategic roles focuses on the mutual interplay between functions leading to a primary role and four supporting roles. The fourth classification identifies different roles that a plant can play in a network of manufacturing plants of a company. To a large extent, the groups are mutually exclusive which suggests that an industrial company may use several classifications to find a configuration of strategic manufacturing roles that is in line with the environmental challenges and internal strength. The empirical findings form a basis for developing research propositions about the roles of manufacturing in the future: an important issue for an industrial firm will be to combine the various typologies into a configuration of strategic manufacturing roles; the strategic roles of manufacturing supporting other functions will become increasingly important, emphasizing the importance of strengthening the interplay with other functions and development of holistic competencies and knowledge sharing across functions and disciplines; a company's development over the next years may be seen as a sequence of moves similar to a game of chess, suggesting a capability to develop scenarios for the next series of moves.Practical implicationsThe paper suggests that management of industrial companies: develops a combination of classifications of manufacturing roles appropriate for the company's specific situation; identifies supportive strategic roles of manufacturing leading to explicit focus on the interplay with other functions and strengthening of holistic competencies and knowledge shari...