4.5 Article

Technology, lean, quality and human resource practices in manufacturing: how does size as a contingency factor matter?

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EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/JMTM-05-2022-0213

关键词

Technology; Lean; Quality; Human resources; Survey; Industry 4; 0

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This paper investigates how firm size influences the implementation and performance impact of four key manufacturing practices. The findings suggest that quality and lean practices consistently enhance performance, while technology and human resource practices are more beneficial in the latest sample. The study also supports the selection and mediation models, indicating that larger firms generally invest more in these practices and achieve higher performance.
PurposeTaking its outset in operations management (OM) contingency research, this paper aims to investigate how firm size, as one of the most powerful explanatory factors, influences the implementation and performance impact of four key manufacturing practices.Design/methodology/approachThree large-scale surveys from three different points in time, with a total of 1880 observations from varied geographical regions, are used to offer generalizable evidence on how firm size influences the implementation and performance outcome of technology, lean, quality and human resource practices.FindingsThe four manufacturing practices positively enhance performance: quality and lean practices produce the most consistent effects, while technology and human resource practices turn more beneficial in the latest sample. Furthermore, the authors offer robust support for the selection and mediation models (larger firms generally invest more in the four practices and, through that, achieve higher performance), while finding no evidence for the moderation model (smaller firms can equally benefit if they possess the resources to invest in these practices).Originality/valueAs manufacturing practices are continuously evolving, their performance impact cannot be guaranteed in any context. Size is a frequently used contingency variable in OM studies, but results are contradictory in terms of its impact on the implementation and performance outcomes of manufacturing practices. This study manages to ease these contradictions.

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