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The purpose of this paper is to explore the roles of internal lean consultants in western organizations during lean transformation processes and how these roles affect the outcomes of the changes.

Findings are based on a qualitative study of four Norwegian public organizations.

Characteristics of western organizations put internal lean consultants in important roles during the project initiation and change phases. However, consultants have less impact in the last phase of the transformation process while transferring the responsibilities over to line management. The organizations struggle to “make lean stick” due to the distribution of responsibilities between managers and internal consultants.

The distribution of responsibilities between managers and consultants should be carefully considered in lean transformation processes. Internal lean consultants should serve the managers as teachers and coaches, rather than doing their jobs for them.

The paper contributes with in-depth knowledge of the roles of internal consultants in lean transformation processes, a topic that the literature has left unexplored and undebated.

This paper investigates developing a learning-to-learn capability as a critical success factor for sustainable lean transformation.

This research design is guided by our research question: how can suppliers learn to learn as part of a buyer-led collaborative lean transformation? The authors adopt action learning research to generate actionable knowledge from a lean supplier development initiative over a three-year period.

Drawing on emergent insights from the initiative, the authors find that developing a learning-to-learn capability is a core and critical success factor for lean transformation. The authors also find that network action learning has a significant enabling role in buyer-led collaborative lean transformations.

The authors contribute to lean theory and practice by making the distinction between learning about and implementing lean best practices and adopting a learning-to-learn perspective to build organisational capabilities, consistent with lean thinking and practice. Further, the authors contribute to methodology, adopting action learning research to explore learning-to-learn as a critical success factor for sustainable lean transformation.

This study aims to investigate the impact of a company-specific lean program (a so-called company-specific production system [XPS]) on the company’s financial performance. This study analyzes data from the implementation of XPS in multiple plants of a multinational corporation and examines the results through an organizational learning lens.

This study adopts a longitudinal single-case design to investigate a Norwegian multinational company in the process industry, producing silicon for the global market. The company has developed, implemented and institutionalized its own XPS since 1991. The program has directly contributed to extensive cost reduction and significantly strengthened the organization’s competitive position.

The findings of this study show a link between organizational learning and the improvement of financial results in the organization. This study presents a sand cone model that illustrates how the development and deployment of an XPS through individual- and orchestrated learning subsequently created a common platform for institutionalized learning within and across the multinational organization. This organizational learning capability managed to tie the company’s continuous improvement efforts directly to the improvement of cost levels throughout the value chain.

The practical implications of this work are significant, as this study uncovers the importance for managers to consider both individual-, orchestrated- and institutionalized learning (within and across a multinational network) when designing and implementing XPS to drive the improvement of an organization’s financial performance.

Documenting the financial impact of such programs is a common challenge. Therefore, the insights presented in this research are of value to both researchers and practitioners, in particular, managers and executives in large multinational organizations.

The purpose of this paper is to examine the digitalization of operational processes and activities in lean manufacturing firms and explore the associated learning implications through the lens of cumulative capability theory.

Adopting a multiple-case design, we examine four cases of digitalization initiatives within lean manufacturing firms. We collected data through semi-structured interviews and direct observations during site visits.

The study uncovers the development of learning capabilities as a result of integrating lean and digitalization. We find that digitalization in lean manufacturing firms contributes to the development of both routinized and evolutionary learning capabilities in a cumulative fashion.

The study adds nuance to the limited theoretical understanding of the integration of lean and digitalization by showing how it cumulatively develops the learning capabilities of lean manufacturing firms. As such, the study supports the robustness of cumulative capability theory. We further contribute to research by offering empirical support for the cumulative nature of learning.

Toyota had mature lean capabilities when developing its supplier network. This paper aims to explore how companies can develop a Toyota-style supplier network (TSN) while their lean capabilities are still evolving.

Theoretically, this paper relies on the literature on lean maturity levels and lean supplier network development. Empirically, the paper portrays a Toyota-style initiative, detailing the buyer’s efforts to develop internal lean capabilities concurrently with developing lean in its supplier network. It compares the Network for supplier innovation (NSI) initiative with TSN development regarding activities, organizations and knowledge-sharing routines.

Unlike the sequential development in the case of Toyota, NSI improved performance and capabilities in the buyer’s supplier network by implementing lean in the firm and its supplier network concurrently. Third-party involvement was the key to the initiative’s success.

The findings are based on an in-depth single-case study which allows theoretical generalization but not statistical generalization. Furthermore, the case study concerns an initiative with Norwegian firms during a financial recession. Future studies should consider these limitations on how firms with evolving lean capabilities can develop a TSN-style supplier network and the importance of involving third parties operating in the role of lean master.

This study suggests what buying firms should consider when designing a TSN initiative, enrolling suppliers and engaging third parties that can take on the role of lean master.

Previous research has focused on how mature lean firms develop lean suppliers and networks. This paper extends this to firms whose lean capabilities are still evolving.

Being acquainted with both lean and action learning in theory and in practice, this study finds that the theoretical complementarity of these two research streams has traditionally been underexploited. In this conceptual paper, this study aims to advance the theoretical understanding of lean by exploring the complementarity of lean thinking and action learning leading to a proposed integrated theory of these two research streams. Target audience is the operations management research community.

By deliberately adopting a process of theorising, this paper explores, reflects upon and combines individual experiences of researching, teaching and engaging in lean and action learning as operations management scholars.

Having taken a gemba walk through the literature and practices of lean and action learning, this study views and notices a systematic and complementary relationship between the two domains. The overlapping theoretical and practical complementarities of lean and action learning suggest that these two research streams are ripe for synthesis into an integrated theory. This finding provides an opportunity to (1) progress towards an integrative design of interventions leading to more sustainable lean system adoptions and (2) add new depth to our theoretical explanation of the success and failures of lean system adoptions.

This paper contributes an original integrated theory perspective on lean and action learning.

This paper aims to investigate how manufacturers can foster insights and improvements from real-time data among shop-floor workers by developing organisational “learning-to-learn” capabilities based on both the lean- and action learning principle of learning through problem-solving. Second, the purpose is to extrapolate findings on how action learning can enable the complementarity between lean and industry 4.0.

An insider action research approach is adopted to investigate how manufacturers can enable their shop-floor workers to foster insights and improvements from real-time data at VELUX.

The findings report that enabling shop-floor workers to use real-time data consist of developing three consecutive organisational building blocks of learning-to-learn, learning-to-learn using real-time data and learning-to-learn generating real-time data − and helping others to learn (to learn).

First, the study contributes to theory and practice by demonstrating that a learning-to-learn capability is a core construct for manufacturers seeking to enable shop-floor workers to use real-time data-capturing systems to drive improvement. Second, the study outlines how lean and industry 4.0 complementarity can be enabled by action learning. Moreover, the study allows us to deduce six necessary conditions for enabling shop-floor workers to foster insights and improvements from real-time data.

This project aims to optimise a secondary agricultural company’s reporting and data lifecycle by providing self-help business intelligence at an optimal price point for all business users.

A design for Lean Six Sigma approach utilising the define, measure analyse, design and verify methodology was utilised to design a new reporting and data product lifecycle.

The study found that this approach allowed a very structured delivery of a complex program. The various tools used assisted greatly in delivering results while balancing the needs of the team.

This study demonstrates how improving data analysis and enhanced intelligence reporting in agribusinesses enable better decision making and thus improves efficiencies so that the agribusiness can leverage the learnings.

Improving data analysis increases efficiency and reduces agrifood food wastage thus improving sustainability and environmental impacts.

This paper proposes creating a standardised approach to deploying Six Sigma methodology to correct both the data provisioning lifecycle and the subsequent business intelligence reporting lifecycle. It is the first study to look at process optimisation across the agricultural industry’s entire data and business intelligence lifecycle.