Workers’ behaviors, economic performance and the Shingo model: a configurational approach to lean transformations

Purpose This study aims to determine whether firms that focus on the technical side of lean, without building a foundation of problem-solving skills among workers, generate worse or better economic performance (return on assets) than firms that adopt a more balanced approach. Design/methodology/approach Following a configurational approach, the authors use a qualitative comparative analysis method to identify lean− systematic problem-solving (SPS) interactions associated with superior economic performance. Data were collected on a sample of 13 Italian small and medium-sized firms (involving 26 managers and 112 shop-floor workers). Coherently with the underlying principles of the Shingo model, this study offers insights into how firms can optimize lean transformations to achieve superior economic performance through congruent lean−SPS configurations. Findings Results show that organizations can achieve superior financial performance only if the selected lean practices are supported by workers who adopt a systematic approach to solve problems. Originality/value This research contributes to the operations literature by providing a better understanding of some critical factors that influence the success or failure of lean implementation. The focus on complex configurations enabled us to identify different lean−SPS interactions associated with superior (or low) economic performance, and the authors empirically demonstrate that SPS behavior is indeed the basis for successful lean transformations.

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Publication Details

Journal
International Journal of Lean Six Sigma
Published
2026-02-19
DOI
https://doi.org/10.1108/ijlss-04-2025-0090
Primary Topic
Quality and Supply Management
Type
article
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article

Workers’ behaviors, economic performance and the Shingo model: a configurational approach to lean transformations

Andrea Furlan, Mercedes Victoria Auqui Caceres
International Journal of Lean Six Sigma
Quality and Supply Management
article

Workers’ behaviors, economic performance and the Shingo model: a configurational approach to lean transformations

Andrea Furlan, Mercedes Victoria Auqui Caceres
article en

Abstract

Purpose This study aims to determine whether firms that focus on the technical side of lean, without building a foundation of problem-solving skills among workers, generate worse or better economic performance (return on assets) than firms that adopt a more balanced approach. Design/methodology/approach Following a configurational approach, the authors use a qualitative comparative analysis method to identify lean− systematic problem-solving (SPS) interactions associated with superior economic performance. Data were collected on a sample of 13 Italian small and medium-sized firms (involving 26 managers and 112 shop-floor workers). Coherently with the underlying principles of the Shingo model, this study offers insights into how firms can optimize lean transformations to achieve superior economic performance through congruent lean−SPS configurations. Findings Results show that organizations can achieve superior financial performance only if the selected lean practices are supported by workers who adopt a systematic approach to solve problems. Originality/value This research contributes to the operations literature by providing a better understanding of some critical factors that influence the success or failure of lean implementation. The focus on complex configurations enabled us to identify different lean−SPS interactions associated with superior (or low) economic performance, and the authors empirically demonstrate that SPS behavior is indeed the basis for successful lean transformations.

International Journal of Lean Six Sigma
University of Padua (IT)
Decent work and economic growth
Openalex Percentile: Top 57%
Quality and Supply Management
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Workers’ behaviors, economic performance and the Shingo model: a configurational approach to lean transformations — Andrea Furlan, Mercedes Victoria Auqui Caceres · International Journal of Lean Six Sigma (2026) | TGRS Research Map | TGRS