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Rolling out lean production systems: a knowledge-based perspective
DOI:10.1108/IJOPM-04-2014-0194.png)
摘要
En 中文
Purpose - Adopting a knowledge-based perspective, the purpose of this paper is to investigate the roll-out process of lean production systems and explores the dimensions that might enhance or hinder its performance. It develops a framework to understand and design lean roll-out processes, identifying the research dimensions/design variables to classify and interpret such processes. Design/methodology/approach - This exploratory multiple case study analyses seven lean roll-out processes in multinational companies' plants. An original data set, developed on the basis of a purposely design research protocol, was built through two rounds of plant visits and structured interviews. The cross-case analysis compares and contrasts the lean roll-out processes according to the research dimensions constituting the framework. Findings - The effectiveness and the efficiency of the lean roll-out processes: first, negatively co-vary with the degree of lean knowledge codification; second, positively co-vary with the degree of autonomy of the plant; third, positively co-vary with the degree of contextual ambidexterity. Moreover, lean roll-out processes characterized by principles-based knowledge replication strategy, plant autonomy and contextual ambidexterity are comparatively more effective and efficient. Research limitations/implications - This is an exploratory qualitative study that develops propositions potentially testable in larger scale, more analytical research. Practical implications - This study provides a tentative roadmap to successfully approach the roll-out of lean production systems in complex organizations. Originality/value - This study challenges the current theory and practice which implicitly assumes that lean roll-outs take place linearly, cascading a set of predefined lean operations practices. Instead, the authors show that a less codified, more decentralized and contextually ambidextrous approach might be more effective.
Keyword:
Global operations management
Lean production
Knowledge management
Dynamic capabilities
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