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Modeling management behaviors in lean production environments.

Authors :
Camuffo, Arnaldo
Gerli, Fabrizio
Source :
International Journal of Operations & Production Management; 2018, Vol. 38 Issue 2, p403-423, 21p
Publication Year :
2018

Abstract

Purpose The purpose of this paper is to identify and empirically validate a repertoire of management behaviors associated with the adoption of lean systems, showing how a subset of such behaviors differentiates more advanced lean systems in a specific setting.Design/methodology/approach The study applies regression analysis and non-parametric hypothesis testing to an original data set coming from field research of 26 cases of adoption of lean operations practices.Findings The study: identifies in the lean literature a repertoire of management behaviors that support lean implementations and complement the adoption of lean practices; provides a way to operationalize them; validates this repertoire of behaviors; and shows that a subset of these behaviors is associated with more advanced lean implementations, suggesting the necessity to adopt a situational approach to lean leadership.Research limitations/implications The findings have boundary conditions, defined by the national, industrial, and size context in which the study was conducted.Practical implications The study provides practical guidance for lean system implementation suggesting a repertoire of management behaviors within which firms can identify and validate specific, appropriate subsets of behaviors aligned with the company strategy, culture, size, environment, bundle of lean operation practices adopted, and maturity stage of lean adoption.Originality/value This is the first study to provide quantitative, non-anecdotal evidence of the relationship between specific management behaviors and the successful implementation of lean operations practices. It offers a novel method to operationalize and measure lean management behaviors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01443577
Volume :
38
Issue :
2
Database :
Complementary Index
Journal :
International Journal of Operations & Production Management
Publication Type :
Academic Journal
Accession number :
128572802
Full Text :
https://doi.org/10.1108/IJOPM-12-2015-0760