Developing a robust measurement instrument for the influence of national culture on lean production systems
Purpose The purpose of this study is to provide a robust model to bridge the influence of national culture (NC) on lean production (LP), identifying relationships among their elements and investigating the degree of influence. Design/methodology/approach The culturally sensitive lean production mode...
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Veröffentlicht in: | Measuring business excellence 2022-07, Vol.26 (2), p.210-227 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Purpose
The purpose of this study is to provide a robust model to bridge the influence of national culture (NC) on lean production (LP), identifying relationships among their elements and investigating the degree of influence.
Design/methodology/approach
The culturally sensitive lean production model (CSLPM) is used as a framework to develop a survey questionnaire that captures the information to analyze using partial least squares structural equation modeling (PLS-SEM). A case study to validate the model is presented from a subsidiary with operations in Mexico (MX) and the USA.
Findings
The CSLPM provides a robust framework for the measurement of the interaction between LP and NC. Multi-group analysis facilitated the comparison among the different groups (MX and USA), highlighting the differences of culture and the corresponding LP implementation within the same company.
Research limitations/implications
The instrument was validated only within two countries and one organization. A higher sample of respondents, countries and organizations could validate the relationships established and the replication of the model.
Practical implications
The CSLPM can be used for assessment of the evolution of organizations, highlighting strengths and weaknesses of a particular culture when implementing LP, providing focal points for research and training efforts.
Originality/value
The CSLPM is a robust instrument to measure expectations for LP practices according to their company’s geographical context. The incorporation of higher order variables and mixed directionality within the variables presented a novel approach to PLS-SEM. |
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ISSN: | 1368-3047 1758-8057 |
DOI: | 10.1108/MBE-07-2021-0085 |