Abstract
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.
Subject
Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Control and Systems Engineering,Software
Reference67 articles.
1. Structural capital, innovation capability, and size effect: an empirical study;Journal of Management and Organization,2011
2. The role of organizational context and infrastructure practices in JIT implementation;International Journal of Operations and Production Management,2008
3. Are new work practices applied together with ICT and AMT?;The International Journal of Human Resource Management,2015
4. Estimating moderating effects in PLS-SEM and PLSc-SEM: interaction term generation data treatment;Journal of Applied Structural Equation Modeling,2018
5. Maturity of lean practices in Brazilian manufacturing companies;Total Quality Management and Business Excellence,2019
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